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"Michael Jordan isn’t known to be outspoken concerning world issues, but there are times when his actions speak louder than any of his words could.\nToday, Michael Jordan made his biggest philanthropic donation ever of $7 million dollars to help medical clinics in at-risk communities in Charlotte, NC. Jordan’s spokesperson, Estee Portnoy, has stated,\n“(Jordan) Feels so great about being able to impact the Charlotte community and help people who really deserve it. Michael and Novant are really excited about this project.”\nPortnoy says Jordan, 54, was motivated by a study that found poor children in Charlotte have the worst odds of those of any of the top 50 cities in the United States to lift themselves out of poverty.\nWith everything that’s going on in the world, its refreshing to see more athletes/owners build their communities."
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"\"LOCATION_OF\"\n\nExplanation:\nThe text states that Michael Jordan made",
"[{\"relation\": \"OCCURRED_IN\"}]",
"\"LOCATION_OF\"\n\nExplanation:\nIn the context provided, Michael Jordan",
"\"DONATED_AMOUNT\"",
"LOCATION_IN_LOCATION",
"\"LOCATION_OF_EVENT\"",
"\"SPOKESPERSON\"",
"\"LOCATION_OF_EVENT\"\n\nThis relation indicates that the event (Jordan",
"[{\"relation\": \"LOCATED_IN\"}]",
"\"LOCATION_OF\"\n\nExplanation:\nIn the context provided, Michael Jordan",
"\"ORGANIZATION_OF_HEAD_IS_DONOR_TO_TA",
"\"SPOKESPERSON\"",
"\"LOCATION_OF_EVENT\"",
"[{\"head\": \"GPE-Charlotte\", \"tail\": \"DATE-54",
"[\"LOC_IN_LOC\"]",
"[{\"relation\": \"HAS_STATISTIC_ABOUT\"}]\n\nThis relation indicates",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Charlotte is located",
"\"LOCATION_OF_EVENT\"",
"[{\"relation\": \"OCCURRED_IN\"}]",
"\"LOCATION_OF_EVENT\"",
"\"DONATED_AMOUNT\"",
"LOCATION_IN_LOCATION",
"\"LOCATION_OF_EVENT\"",
"\"SPEAKS\\_FOR\"\n\nOr, if you prefer a more direct label:\n",
"\"LOCATION_OF_EVENT\"",
"LOCATION_IN_LOCATION",
"\"LOCATION_OF_EVENT\"",
"\"FUNDING_ORGANIZATION\"",
"[{\"relation\": \"SPEAKS_FOR\"}]\n\n[{\"head\": [\"5",
"\"LOCATION_OF_EVENT\"",
"\"LOCATION_OF_EVENT\"",
"LOCATION_IN_LOCATION",
"[{\"relation\": \"SUBJECT_OF_TOPIC_DISCUSSION_IN\", \"",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes Michael Jordan making a",
"[\"PHILANTHROPIST_OF\"]",
"MADE_ON_DATE",
"[\"PHILANTHROPIST_OF\"]",
"\"DONATED_MONEY\"",
"\"LOCATION_OF_EVENT\"",
"\"LOCATION_OF_EVENT\"",
"[{\"speaks_for\": \"\"}]\n\nThis text does not provide enough context to establish",
" [\"DONATED_MONEY_TO\"]",
"\"LOCATION_OF_EVENT\"",
"[{\"label\": \"IDENTICAL_TO\"}]\n\nExplanation:\nThe text",
"\"ORGANIZATION_FOUNDED_BY\"",
"[{\"relation\": \"SPEAKS_FOR\"}]",
" [\"DONATED_MONEY_TO\"]",
"[{\"label\": \"AGE_DIFFERENCE\"}]\n\n[{\"head\": \"J",
"\"LOCATION_OF_EVENT\"",
"[\"INFLUENCES\" \"EVENT:(PHILANTHROPIC_DON",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Jordan is located",
"\"SPOKESPERSON_FOR\"",
"\"ANNOUNCED_ON\"",
"\"SPOKESPERSON_FOR\"",
"\"SPEAKS_FOR\"\n\nExplanation:\nEstee Portnoy spoke",
"\"SPEAKS\\_FOR\"\n\nOr, since the text mentions \"Jordan",
"\"LOCATED_IN\"",
"\"SPOKESPERSON_FOR\"",
"[{\"relation\": \"SPEAKS_FOR\"}]\n\nOr, if you prefer a",
"\"SPEAKS\\_FOR\"\n\nExplanation:\nEstee Portnoy spoke",
"\"SPOKESPERSON_FOR\"",
"[\"ORGANIZATION_REPRESENTED_BY\"]",
"[{\"spoke_for\": \"Estee Portnoy\", \"spoke_to\":",
"\"SPOKESPERSON_FOR\"",
"[{\"label\": \"SPEAKS_FOR\"}]\n\n[{'head': ['1",
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"[\"REFERRED_TO\"]\n\nExplanation:\nThe text mentions that Est",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"label\": \"PHILANTHROPIC_DONATION_FROM\", \"head",
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"[\"PHILANTHROPY\"]",
"\"DONATED_MONEY\"",
"\"LOCATION_OF_EVENT\"",
"\"LOCATION_OF_EVENT\"",
" [\"MADE_DONATION\"]",
"[{\"speaks_for\": \"\"}]\n\nThis text does not directly provide a relation between",
"\"LOCATION_OF_EVENT\"",
"[{\"label\": \"PHILANTHROPIC_DONATION_FROM\", \"head",
" [\"ORGANIZATION\", \"FUNDING\"]",
"[{\"relation\": \"SPEAKS_FOR\"}]\n\nEntities:\n[{'head",
" [\"DONATED_MONEY_TO\"]",
"[{\"label\": \"AGE_OF_PERSON\"}]\n\nor\n\n[{\"",
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"[\"INFLUENCED_BY\"]\n\nExplanation:\nThe text states that",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the person \"",
"\"LOCATION_OF_EVENT\"",
"[{\"relation\": \"OCCURRED_IN\"}]",
"\"LOCATION_OF_EVENT\"",
" [\"DONATED_AMOUNT\", \"$7 million dollars\", \"Charlotte\"]\n",
"LOCATION_IN_LOCATION",
"LOCATION_IN_LOCATION",
"\"LOCATION_OF_EVENT\"",
"\"SPOKESPERSON\"",
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"\"LOCATION_OF_EVENT\"",
"[\"ORGANIZATION_ASSOCIATED_WITH_LOCATION\"]",
"[\"SPEAKS\\_FOR\"]",
"\"LOCATION_OF_EVENT\"",
"[{\"head\": \"GPE-Charlotte\", \"tail\": \"GPE-5",
"[\"LOCATION_IN_LOCATION\"]",
"[{\"relation\": \"PART_OF\"}]\n\nExplanation:\nThe text ment",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Charlotte is located",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{\"relation\": \"EVENT_STARTED_ON\"}]",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"\"DONATED_MONEY\"",
"\"LOCATION_OF_EVENT\"",
"\"LOCATED_IN\"",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{\"relation\": \"SPEAKS_FOR\"}]\n\nOr, if you prefer a",
"[{\"label\": \"IDENTICAL\"}]\n\nOr, since the entities are the same:",
"\"LOCATION_OF_EVENT\"",
" [\"ORGANIZATION_FOUNDED_BY\"]\n\nExplanation:\n",
"[{\"relation\": \"SPEAKS_FOR\"}]\n\nEntities:\n[{'head",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{\"label\": \"AGE_OF_PERSON\"}]\n\nOr, since the text",
"\"LOCATION_OF_EVENT\"",
"[{\"relation\": \"IN_TOP_50_CITIES\"}]\n\nOr",
"[{\"relation\": \"LOCATED_IN\"}]\n\nOr, since the text mentions",
"[\"PHILANTHROPIC_DONATION_FROM\"]",
"[\"ORGANIZATION_FOUNDED\"]\n\nExplanation:\nIn the",
" [\"ORGANIZATION_ASSOCIATED_WITH_PERSON\"]",
" [\"DONATED_AMOUNT\", \"54\", \"PERSON\", \"Nov",
"LOCATED_IN",
"LOCATED_IN",
" [\"ORGANIZATION_ASSOCIATED_WITH_PERSON\"]",
"[{\"SPOKEN_FOR\": \"\"}, {\"PHILANTHROPIC_ORG",
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"[\"ORGANIZATION_LOCATED_IN\"]",
" [\"ORGANIZATION_ASSOCIATED_WITH_PERSON\"]",
"[{\"relation\": \"SPEAKS_FOR\"}]\n\n[{\"head\": [\"1",
" [\"ORGANIZATION_ASSOCIATED_WITH_PERSON\"]",
"[{\"relation\": \"PHILANTHROPIC_ORGANIZATION_FOUND",
"[\"ORGANIZATION_LOCATED_IN\"]",
"[{\"relation\": \"IN_CITY_WITH_STATISTICS\"}]\n\nThis",
"[{\"head\": \"Novant\", \"relation\": \"is_located_in\",",
"[{\"relation\": \"SPEAKS_FOR\"}]\n\nExplanation:\nThe",
"[\"SPEAKS_ABOUT\"]\n\nExplanation:\nThe context states that Est",
"\"SPOKESPERSON\"",
"\"SPEAKS_FOR\"\n\nExplanation:\nThe text states that Estee",
"[\"SPEAKS_FOR\"]\n\nExplanation:\nThe text states that Estee",
"\"SPEAKS\\_FOR\"\n\nExplanation:\nEstee Portnoy spoke",
"[{\"relation\": \"SPEAKS_FOR\"}]\n\nOr, if you prefer a",
"[{\"spoke_for\": \"NO_RELATION\"}]\n\n[{\"spoke",
"[{\"relation\": \"SPEAKS_FOR\"}]\n\nOr, if you prefer a",
"\"SPEAKS\\_FOR\"\n\nExplanation:\nThe text states that Estee",
"[{\"relation\": \"SPEAKS_FOR\"}]\n\nOr, if you prefer a",
"[\"ORGANIZATION_REPRESENTED_BY\"]",
"[{\"label\": \"SPEAKS_FOR\"}]\n\n[{'head': ['1",
"[{\"relation\": \"SPEAKS_FOR\"}]\n\n[{\"head\": [\"1",
"\"SPEAKS\\_ABOUT\"\n\nExplanation:\nThe text mentions that",
"[\"REFERENCE\", \"study_findings\", {\"head\": \"Portnoy\",",
"[{\"relation\": \"MENTIONED_IN_CONTEXT_OF\"}]\n\nFor this",
"[{\"label\": \"PHILANTHROPIC_DONATION_FROM\", \"head",
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"[\"PHILANTHROPIST_OF\"]",
"\"DONATED_MONEY\"",
"\"LOCATION_OF_EVENT\"",
"\"LOCATION_OF_EVENT\"",
" [\"DONATED_MONEY_TO\"]",
"[{\"label\": \"SPEAKS_FOR\"}]",
" [\"MADE_DONATION_TO\"]",
"\"LOCATION_OF_EVENT\"",
"[\"PHILANTHROPIST_OF\"]",
" [\"ORGANIZATION\", \"FUNDING\"]",
"[{\"relation\": \"SPEAKS_FOR\"}]",
"[{\"label\": \"AGE_OF\", \"head\": \"Jordan\", \"tail\":",
"\"LOCATION_OF_EVENT\"",
"[\"INFLUENCES_QUANTITY_OF_CITY_STATISTICS\"]",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the location (",
"[{\"label\": \"PHILANTHROPIC_DONATION_FROM\", \"head",
" [\"DID_PHILANTHROPY_ON\", \"made_a_donation",
"[{\"head\": \"54\", \"tail\": \"Charlotte\", \"label\": \"",
"\"LOCATION_OF_EVENT\"",
"[\"MADE_DONATION\"]",
"[\"SPEAKS_FOR\"]",
" [\"MADE_DONATION\"]",
"[{\"head\": \"Michael Jordan\", \"tail\": \"Charlotte\", \"relation\":",
"[{\"label\": \"PHILANTHROPIC_DONATION_FROM\", \"head",
" [\"PHILANTHROPIC_DONATION_RECIPIENT\"]",
"[\"SPEAKS\\_FOR\"]",
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"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes Michael Jordan making a",
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"[{\"location\": \"event_occurred_in\", \"relation\": \"LOCATION\"",
"\"LOCATION_OF_EVENT\"",
"\"DONATED_AMOUNT\"",
"LOCATION_Same_As\n\nor\n\nIN_CITY\n\n(Both",
"LOCATION_IN_LOCATION",
"\"LOCATION_OF_EVENT\"",
"\"SPEAKS\\_FOR\"\n\nExplanation:\nIn the context, Estee",
"\"LOCATION_OF_EVENT\"",
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"\"LOCATION_OF_EVENT\"",
"[\"ORGANIZATION_ASSOCIATED_WITH_LOCATION\"]",
"\"SPEAKS\\_FOR\"\n\nExplanation:\nIn the context, Estee",
"\"LOCATION_OF_EVENT\"\n\nExplanation:\nThe text states that Michael",
"[\"LOCATION_OF_EVENT\", \"Charlotte\", \"city\", \"54\",",
"[{\"relation\": \"PART_OF\"}]\n\nExplanation:\nThe text ment",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes how Charlotte, North",
"[{\"label\": \"PHILANTHROPIC_DONOR_OF\", \"head",
"[\"PHILANTHROPIST_OF\"]",
"[{\"head\": \"50\", \"tail\": \"Charlotte\", \"label\": \"",
"[\"IMPACTS_POSITIVELY\"]\n\nExplanation:\nThe text",
"[{\"label\": \"PHILANTHROPIC_DONOR_OF\", \"head",
"[{\"relation\": \"SPEAKS_FOR\"}]",
"[{\"label\": \"PHILANTHROPIC_DONATION_FROM\", \"head",
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"[{\"label\": \"PHILANTHROPIC_DONOR_OF\", \"head",
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"[{\"relation\": \"SPEAKS_FOR\"}]",
"[\"PHILANTHROPIC_DONATION\"]",
"[{\"head\": \"50\", \"tail\": \"Charlotte\", \"label\": \"",
"[{\"top_level\": {\"head\": [\"132\", \"CARDINAL\",",
"[{\"relation\": \"BENEFITS_FROM\", \"head\": \"0\", \"tail",
"[{\"context\": \"\", \"relation\": \"BACKGROUND\"}]\n[{\"head\": [\"",
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"[{\"head\": \"GPE/the United States\", \"tail\": \"GPE/Ch",
"[{\"head\": \"GPE/the United States\", \"tail\": \"GPE/NC",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes Michael Jordan making a",
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"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Jordan is located",
"[{\"head\": \"GPE/the United States\", \"tail\": \"GPE/Ch",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes Michael Jordan making a",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Novant is",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Jordan is located",
"[{\"head\": \"GPE/the United States\", \"tail\": \"PERSON/M",
"[{\"head\": \"GPE/the United States\", \"tail\": \"GPE/Ch",
"[{\"head\": \"GPE/the United States\", \"tail\": \"CARDINAL"
] | [
[
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],
[
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],
[
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],
[
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[
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[
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[
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[
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[
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[
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],
[
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[
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[
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[
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[
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],
[
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],
[
"132",
"133",
"CARDINAL",
"50"
],
[
"135",
"138",
"GPE",
"the United States"
]
] | 200 |
202 | [
"It is a beautiful morning in San Francisco and the office was full of April Fool's jokes. The creativity was spearheaded by Matthieu, who recruited Matthew and Jason to help him execute several ideas.\nThe pranks included wrapping Lee's desk in parcel paper, packaging Ian's desk in bubble wrap, controlling Sri's computer remotely with a foot and making my desk look like it just stepped into a flurry of sticky notes. It was a fun way to start everyone's day. Thanks Matthieu!\nAnd then, after all the fun died down, it was Matthieu's turn to be pranked. Jason did a switch-and-bait on his keyboard that made it difficult to type in French. Jason removed the windows key that Matthieu uses to make accents when writing in French. Quel plaisir!\nThe stakes have been raised for next year. The planning is already underway."
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["It is a beautiful morning in San Francisco and the office was full of April Fool's jokes. The creativity was spearheaded by Matthieu, who recruited Matthew and Jason to help him execute several ideas.\nThe pranks included wrapping Lee's desk in parcel paper, packaging Ian's desk in bubble wrap, controlling Sri's computer remotely with a foot and making my desk look like it just stepped into a flurry of sticky notes. It was a fun way to start everyone's day. Thanks Matthieu!\nAnd then, after all the fun died down, it was Matthieu's turn to be pranked. Jason did a switch-and-bait on his keyboard that made it difficult to type in French. Jason removed the windows key that Matthieu uses to make accents when writing in French. Quel plaisir!\nThe stakes have been raised for next year. The planning is already underway."]
Entities:
[{'head': ['6', '8', 'GPE', 'San Francisco'], 'tail': ['14', '17', 'DATE', "April Fool's"]}]
Relation:
[/INST]
| [
[
{
"head": [
"6",
"8",
"GPE",
"San Francisco"
],
"tail": [
"14",
"17",
"DATE",
"April Fool's"
]
}
],
[
{
"head": [
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"8",
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"San Francisco"
],
"tail": [
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"25",
"PERSON",
"Matthieu"
]
}
],
[
{
"head": [
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],
"tail": [
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"29",
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]
}
],
[
{
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],
"tail": [
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]
}
],
[
{
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],
"tail": [
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]
}
],
[
{
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],
"tail": [
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]
}
],
[
{
"head": [
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"San Francisco"
],
"tail": [
"59",
"60",
"PERSON",
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]
}
],
[
{
"head": [
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],
"tail": [
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"DATE",
"day"
]
}
],
[
{
"head": [
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"San Francisco"
],
"tail": [
"94",
"95",
"PERSON",
"Matthieu"
]
}
],
[
{
"head": [
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"San Francisco"
],
"tail": [
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"110",
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]
}
],
[
{
"head": [
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],
"tail": [
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]
}
],
[
{
"head": [
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],
"tail": [
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"135",
"LANGUAGE",
"French"
]
}
],
[
{
"head": [
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],
"tail": [
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]
}
],
[
{
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],
"tail": [
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]
}
],
[
{
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],
"tail": [
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"151",
"LANGUAGE",
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]
}
],
[
{
"head": [
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],
"tail": [
"162",
"164",
"DATE",
"next year"
]
}
],
[
{
"head": [
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"April Fool's"
],
"tail": [
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"8",
"GPE",
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]
}
],
[
{
"head": [
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"April Fool's"
],
"tail": [
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]
}
],
[
{
"head": [
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],
"tail": [
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]
}
],
[
{
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],
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]
}
],
[
{
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],
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]
}
],
[
{
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"April Fool's"
],
"tail": [
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"52",
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]
}
],
[
{
"head": [
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"17",
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"April Fool's"
],
"tail": [
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]
}
],
[
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"164",
"DATE",
"next year"
],
"tail": [
"51",
"52",
"PERSON",
"Ian"
]
}
],
[
{
"head": [
"162",
"164",
"DATE",
"next year"
],
"tail": [
"59",
"60",
"PERSON",
"Sri"
]
}
],
[
{
"head": [
"162",
"164",
"DATE",
"next year"
],
"tail": [
"94",
"95",
"PERSON",
"Matthieu"
]
}
],
[
{
"head": [
"162",
"164",
"DATE",
"next year"
],
"tail": [
"109",
"110",
"PERSON",
"Matthieu"
]
}
],
[
{
"head": [
"162",
"164",
"DATE",
"next year"
],
"tail": [
"116",
"117",
"PERSON",
"Jason"
]
}
],
[
{
"head": [
"162",
"164",
"DATE",
"next year"
],
"tail": [
"136",
"137",
"PERSON",
"Jason"
]
}
],
[
{
"head": [
"162",
"164",
"DATE",
"next year"
],
"tail": [
"142",
"143",
"PERSON",
"Matthieu"
]
}
]
] | [
"SETTING: \"It is a beautiful morning in San Francisco\"\nEVENT: \"April F",
"\"LOCATION_OF\"",
" [\"RECRUITED\"]",
"PRANKED_BY",
"WRAPPED_BY\n\nExplanation:\nIn the context provided, Lee'",
"PACKAGED\n\n[{'head': ['6', '8', 'GPE', '",
"NO_RELATION.\n\nThe text describes various April Fool's pranks in an",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"San",
"The text describes San Francisco as the location where the office is located and Matthieu as the person",
"\"CITY_OF_EVENT\"\n\nExplanation:\nMatthieu spear",
"PRANKED_BY",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"PRANKED_BY",
"\"CITY_OF_EVENT\"\n\nExplanation:\nMatthieu spear",
"MATTHIEU_USES_FRENCH",
"[{\"relation\": \"PREPARES_FOR\"}]\n\nExplanation:\n",
"[{\"relation\": \"OCCURRED_IN\"}]",
"[\"SPEARHEDED_BY\"]",
" [\"RECRUITED\"]",
"pranked\n\n[{'head': ['30', '31', 'PERSON',",
"[{\"PRANKED_BY\": {\"head\": \"Matthieu\", \"tail\": \"",
"PACKAGED\n\n[{'head': ['14', '17', 'DATE',",
"[{\"relation\": \"PRANKED_BY\"}]\n\nExplanation:\nIn",
"[\"SPEARHEDED_BY\"]",
"[\"SPEARHEDED_BY\"]",
"PRANKED_BY",
"PRANKED\n\n[{'head': ['136', '137', '",
"[\"SPEARHEDED_BY\"]",
"[{\"head\": \"Matthieu\", \"relation\": \"LOCATED_IN\", \"tail",
"[\"SPEARHEADED\"]\n\nExplanation:\nMatthieu spearheaded the",
" [\"RECRUITED\"]",
"PRANKED_BY",
"PRANKED\n\nEntities:\n[{'head': ['24', '25',",
"PACKAGED\n\n[{'head': ['24', '25', 'PERSON",
" controlling\n\n[{'head': ['24', '25', 'PERSON', '",
"[{\"relation\": \"SPEARHEADED_ON_DATE\"}]\n\nThis relation indicates",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the entities",
"[{\"relation\": \"SELF_PRANKED_BY\"}]\n\nThis relation indicates",
"[\"SPEARHEDED_BY\"]",
"\"MODIFIES\"\n\nThis relation indicates that Jason modified Matthieu's keyboard,",
"[\"SPEARHEDED_BY\"]",
"[{\"relation\": \"SELF_PRANKED_BY\"}]\n\nThis relation indicates",
"\"MODIFIES\"\n\nThis relation indicates that Jason modified Matthieu's keyboard,",
"[{\"relation\": \"PLANNING_FOR\"}]\n\nThis relation indicates that Matth",
"[{\"relation\": \"LOCATED_IN\"}]\n\nOr, since the text mentions",
" [\"PARTICIPANT\"]",
" [\"RECRUITED_BY\"]",
" [\"HELPED_BY\"]",
"[\"PERSON_WRAPS_PERSON\"]\n\nEntities:\n[{'head':",
"[{\"relation\": \"PARTICIPANT\"}]\n\nThis relation indicates that Matthew and Ian",
"NO_RELATION.\n\nThe text describes actions performed by Matthew and Matthieu towards different",
"[\"HELPED\"]",
" [\"RECRUITED_BY\"]",
" [\"RECRUITED_BY\"]",
" [\"HELPED_BY\"]",
"NO_RELATION.\n\nThe text describes Matthew removing the windows key from Matthieu'",
" [\"HELPED_BY\"]",
" [\"RECRUITED_BY\"]",
"NO_RELATION.\n\nMatthew is not related to the French language.",
"[\"PLANNING\"]",
"NO_RELATION.\n\nThe text describes Jason's actions in San Francisco, but it",
"[{\"relation\": \"PLANNED_EVENT_FOR_DATE\"}]\n\nThis",
"PRANKED_BY",
" [\"RECIPROCAL_PRANKSTER\", \"Jason\", \"Matthew\"]\n",
"PRANKED\n\n[{'head': ['30', '31', 'PERSON",
"PACKAGED_WITH\n\n[{'head': ['30', '31', '",
" controlling\n\n[{'head': ['31', '32', 'PERSON', '",
"NO_RELATION.\n\nThe text describes actions taken by Jason, but there is no mention",
"PRANKED\n\nExplanation:\nIn the context provided, Jason pranked Matth",
"PRANKED\n\nExplanation:\nIn the context provided, Jason pranked Matth",
"PRANKED_PRANKSTER\n\nSo the relation label between the entities is \"PRANK",
"MODIFIED_KEYBOARD",
"PRANKED_PRANKSTER\n\n[{'head': ['30', '31",
"PRANKED\n\nExplanation:\nIn the context provided, Jason pranked Matth",
"MODIFIED_KEYBOARD",
"[\"PLANNING\"]",
"[{\"head\": \"6,8\", \"tail\": \"43,44\", \"",
"[{\"target\": \"April Fool's\", \"relation\": \"CAUSED_BY",
"PRANKED_BY",
"[{\"RECIPROCAL_OF\": \"RECRUITER_OF\"}]\n\n",
"PRANKED_BY",
"[{\"PRANKED_BY\": {\"head\": \"Matthieu\", \"tail\": [\"",
"PACKAGED\n\n[{'head': ['43', '44', 'PERSON",
"[{\"relation\": \"PRANKED_ON_DATE\"}]\n\nEntities:\n[",
"PRANKED_BY",
"PRANKED_BY",
"PRANKED\n\n[{'head': ['116', '117', '",
"NO_RELATION.\n\nThe text describes an incident where Lee's desk was pranked",
"PRANKED_BY",
"PRANKED_BY",
"NO_RELATION.\n\nThe text describes an incident where Lee's desk was pranked",
"[{\"relation\": \"FUTURE_EVENT_PARTICIPANT\"}]\n\nThis",
"NO_RELATION.\n\nThe text describes a series of April Fool's pranks",
"[{\"relation\": \"PART_OF\"}]\n\nExplanation: In the context,",
"PACKAGED_BY\n\nExplanation:\nIn the context, Matthieu spe",
"PACKAGED_WITH\n\n[{'head': ['28', '29', '",
"PACKAGED_ITEM\n\nExplanation:\nIn the context, Ian's desk",
"PACKAGED\n\n[{'head': ['43', '44', 'PERSON",
"PACKAGED\n\n[{'head': ['52', '53', 'PERSON",
"NO_RELATION.\n\nEntities do not have a relation in the given context.",
"PACKAGED_BY\n\nEntities:\n[{'head': ['94', '9",
"PACKAGED_BY",
"PACKED_WITH_MATERIALS\n\nExplanation:\nIn the context,",
"NO_RELATION.\n\nThe text describes an incident where Ian's desk was packaged",
"PACKAGED\n\n[{'head': ['51', '52', 'PERSON",
"PACKAGED_BY\n\nEntities:\n[{'head': ['142', '",
"NO_RELATION.\n\nThe text describes an incident where Ian's desk was packaged",
"[{\"relation\": \"FUTURE_EVENT_PLANNING_BY_PERSON\"",
"NO_RELATION.\n\nThe text describes various April Fool's pranks in an",
"[{\"relation\": \"PARTICIPANT_IN_EVENT\"}]",
" controlling\n\n Entities: [{'head': ['24', '25', 'PER",
"[{\"relation\": \"PRANKED_BY\"}]\n\nExplanation:\nIn",
" controlling\n\n[{'head': ['59', '60', 'PERSON', '",
"PACKAGED\n\n[{'head': ['43', '44', 'PERSON",
"PACKAGED_WITH\n\nExplanation:\nThe text mentions that Ian's",
"NO_RELATION.\n\nThe text describes several April Fool's pranks, but",
" controlling\n\n[{'head': ['94', '95', 'PERSON', '",
" controlling\n\n Entities: \n [{'head': ['109', '11",
" controlling\n\n[{'head': ['59', '60', 'PERSON', '",
" controlling_with\n\nEntities: [{'head': ['59', '60', '",
" controlling\n\n[{'head': ['59', '60', 'PERSON', '",
" controlling\n\n Entities: \n [{'head': ['111', '11",
" controlling_with\n\nEntities: [{'head': ['59', '60', '",
"[{\"relation\": \"PLANNING_FOR\"}]\n\nThis relation indicates that Sri is",
"[{\"relation\": \"LOCATED_IN\"}]\n\nOr, since the entities are represented",
"[{\"relation\": \"SPEARHEDED_BY\"}]\n\nThis relation indicates that Mat",
" [\"RECRUITED\"]",
"pranked\n\n[{'head': ['30', '31', 'PERSON',",
"[{\"PRANKED_BY\": [\"91\", \"92\", \"DATE\", \"",
"PACKAGED\n\n[{'head': ['51', '52', 'PERSON",
"[{\"relation\": \"CONTROLLED_BY\"}]\n\nExplanation:\nIn the",
"[\"SPEARHEDED_BY\"]",
"[\"SPEARHEDED_BY\"]",
"PRANKED\n\n[{'head': ['105', '122', '",
"PRANKED\n\n[{'head': ['111', '113', '",
"[\"SPEARHEDED_BY\"]",
"[{\"head\": \"Matthieu\", \"relation\": \"LOCATED_IN\", \"tail",
"[\"SPEARHEADED\"]\n\nExplanation:\nMatthieu spearheaded the",
"[{\"relation\": \"SELF_PRANKED_BY\"}]\n\nThis relation indicates",
"[\"RECRUITED\"]",
"[\"SPEARHEDED_BY\"]",
"[{\"target\": \"PERSON\", \"relation\": \"PRANKED_BY\", \"source",
"PACKAGED\n\n[{'head': ['94', '95', 'PERSON",
" controlling\n\n[{'head': ['59', '60', 'PERSON', '",
"[{\"relation\": \"SPEARHEADED_ON_DATE\"}]\n\nThis relation indicates",
"[{\"relation\": \"SELF_PRANKED_BY\"}]\n\nThis relation indicates",
"[\"SPEARHEDED_BY\"]",
"\"MODIFIES\"\n\nThis relation indicates that Jason modified Matthieu's keyboard,",
"[\"SPEARHEDED_BY\"]",
"[{\"relation\": \"SELF_PRANKED_BY\"}]\n\nThis relation indicates",
"\"MODIFIES\"\n\nThis relation indicates that Jason modified Matthieu's keyboard,",
"[{\"relation\": \"PLANNING_FOR\"}]\n\nThis relation indicates that Matth",
"[{\"head\": \"Matthieu\", \"relation\": \"LOCATED_IN\", \"tail",
"[\"SPEARHEADED\"]\n\nExplanation:\nMatthieu spearheaded the",
"pranked_by\n\nExplanation:\nMatthieu is the head entity and Mat",
" [\"RECRUITED\"]",
"\"PRANKED\"\n\nExplanation:\nMatthieu is the head entity and",
"[{\"relation\": \"PRANKED_BY\"}]\n\nThis relation indicates that Matth",
"PACKAGED\n\n[{'head': ['109', '110', '",
" controlling\n\n[{'head': ['109', '110', 'PERSON",
"[{\"relation\": \"SPEARHEADED_ON_DATE\"}]\n\nThis relation indicates",
"[{\"relation\": \"SELF_PRANKED_BY\"}]\n\nThis relation indicates",
"[\"SPEARHEADED_BY\"]\n\nExplanation:\nMatthieu spear",
"\"MODIFIES\"\n\nExplanation:\nMatthieu is the head entity and",
"[\"SPEARHEADED_BY\"]\n\nExplanation:\nMatthieu spear",
"prankster_of_PRANKSTER, prankster_OF\nOR\nPRAN",
"\"MODIFIES\"\n\nThis relation indicates that Jason modified Matthieu's keyboard,",
"[{\"relation\": \"PLANNING_FOR\"}]\n\nThis relation indicates that Matth",
"NO_RELATION.\n\nThe text describes Jason's actions in San Francisco, but it",
"[{\"relation\": \"PRANKED_ON_DATE\"}]\n\nThis relation indicates that",
"PRANKED\n\nThis indicates that Jason pranked Matthieu. The direction of the relationship",
" [\"RECRUITED\"]",
"PRANKED\n\n[{'head': ['30', '31', 'PERSON",
"PRANKED\n\n[{'head': ['43', '44', 'PERSON",
"PACKAGED\n\n[{'head': ['116', '117', '",
" controlling\n\n[{'head': ['11', '12', 'PERSON', '",
"NO_RELATION.\n\nThe text describes actions performed by Jason towards an unspecified day",
"PRANKED\n\nExplanation:\nIn the context provided, Jason pranked Matth",
"PRANKED_BY",
"MODIFIED_KEYBOARD",
"PRANKED_PRANKSTER\n\n[{'head': ['116', '1",
"PRANKED_BY",
"MODIFIED_KEYBOARD",
"[{\"relation\": \"PLANNING_FOR\"}]\n\nThis relation indicates that Jason is",
"NO_RELATION.\n\nThe text describes various April Fool's pranks in an",
"\"MODIFIED_KEYBOARD\"\n\nExplanation:\nMatthieu is",
"RECIPROCAL_PRANKSTER\n\nOr, if you prefer the standard relation labels:",
"pranked\n\n[{'head': ['134', '135', 'LANG",
"pranked\n\nEntities: [{'head': ['43', '44', 'PER",
"PACKAGED_WITH\n\nExplanation:\nIn the context, Ian's desk",
" controlling\n\n[{'head': ['59', 'PERSON', 'Sri'], '",
"\"MODIFIED_KEYBOARD\"\n\nExplanation:\nMatthieu is",
"\"MODIFIED_KEYBOARD\"\n\nExplanation:\nThe text mentions",
"PRANKED\n\nExplanation:\nMatthieu is the head entity and Jason is",
"PRANKED\n\nExplanation:\nMatthieu is the head entity and Jason is",
"\"MODIFIED_KEYBOARD\"\n\nExplanation:\nMatthieu is",
"NO_RELATION.\n\nThe text describes Jason's actions in San Francisco, but it",
"[{\"relation\": \"PLANNED_EVENT_FOR_DATE\"}]\n\nThis",
"PRANKED\n\nExplanation:\nIn the context provided, Jason pranked Matth",
" [\"RECIPROCAL_PRANKSTER\", \"Jason\", \"Matthew\"]\n",
"PRANKED\n\n[{'head': ['30', '31', 'PERSON",
"PRANKED\n\n[{'head': ['43', '44', 'PERSON",
"PACKAGED\n\n[{'head': ['136', 'PERSON', 'J",
" controlling\n\n[{'head': ['137', 'PERSON', 'Jason'],",
"PLANNED_PRANK",
"PRANKED\n\nExplanation:\nIn the context provided, Jason pranked Matth",
"PRANKED_BY",
"PRANKED_PRANKSTER\n\n[{'head': ['136', '1",
"MODIFIED_THE\n\nExplanation:\nIn the context provided, Jason modified Mat",
"PRANKED_BY",
"MODIFIED_KEYBOARD",
"[{\"relation\": \"PLANNING_FOR\"}]\n\nThis relation indicates that Jason is",
"[{\"head\": \"Matthieu\", \"relation\": \"LOCATED_IN\", \"tail",
"[\"SPEARHEADED_EVENT\"]",
"[{\"relation\": \"SELF_PRANKED_BY\"}]\n\nThis relation indicates",
" [\"RECRUITED\"]",
"[\"SPEARHEDED_BY\"]",
"WRAPPED_BY",
"PACKAGED\n\n[{'head': ['142', 'Matthieu'], '",
" controlling\n\n[{'head': ['142', 'Matthieu'], 'tail':",
"[{\"relation\": \"SPEARHEADED_ON_DATE\"}]\n\nThis relation indicates",
"[{\"relation\": \"SELF_PRANKED_BY\"}]\n\nThis relation indicates",
"[{\"relation\": \"SELF_PRANKED_BY\"}]\n\nThis relation indicates",
"[\"SPEARHEDED_BY\"]",
"\"MODIFIES\"\n\nExplanation:\nMatthieu is the head entity and",
"[\"SPEARHEADED_BY\"]",
"\"MODIFIES\"\n\nExplanation:\nMatthieu is the head entity and",
"[{\"relation\": \"PLANNING_FOR\"}]\n\nThis relation indicates that Matth",
"NO_RELATION.\n\nThe text describes various April Fool's pranks in an",
"\"MODIFIED_KEYBOARD\"\n\nExplanation:\nMatthieu is",
" REMOVED_KEY_FOR_MATTHIEU_PRANKED_MATHEW",
"pranked\n\n[{'head': ['150', '151', 'LANG",
"pranked\n\nEntities: [{'head': ['43', '44', 'PER",
"PACKAGED_WITH\n\nExplanation:\nIn the context, Ian's desk",
" controlling\n\n[{'head': ['59', '60', 'PERSON', '",
"\"MODIFIED_KEYBOARD\"\n\nExplanation:\nMatthieu is",
"\"MODIFIED_KEYBOARD\"\n\nExplanation:\nMatthieu is",
"PRANKED\n\nExplanation:\nMatthieu is the head entity and Jason is",
"PRANKED\n\nExplanation:\nMatthieu is the head entity and Jason is",
"\"MODIFIED_KEYBOARD\"\n\nExplanation:\nMatthieu is",
"[{\"relation\": \"LOCATED_IN\"}]\n\nOr, since the entities are represented",
"[{\"relation\": \"PLANNING_FOR\"}]\n\nThis relation indicates that Matth",
"[{\"PLANNING\": [\"next year\", \"THE planning\"]}]\n[{\"INSTOR",
"[{\"PLANNING\": [\"next year\", \"THE planning\"]}]\n[{\"PLAN",
"[{\"PRANKED_BY\": [\"162\", \"164\", \"DATE",
"PACKED_BY\n\nExplanation:\nIn the context, Ian's desk was",
"[{\"relation\": \"PRANKED_BY\"}]\n\nExplanation:\nIn",
"[{\"relation\": \"PLANNING_FOR\"}]\n\nThis relation indicates that Matth",
"[\"PLANNING_FOR\"]",
"[{\"PLANNING\": [\"next year\", \"The planning\"]}]\n[{\"INITI",
"[{\"relation\": \"PRANKED_BY\"}]\n\nThis relation indicates that \"next",
"[{\"relation\": \"PLANNING_FOR\"}]\n\nThis relation indicates that Matth"
] | [
[
"6",
"8",
"GPE",
"San Francisco"
],
[
"14",
"17",
"DATE",
"April Fool's"
],
[
"24",
"25",
"PERSON",
"Matthieu"
],
[
"28",
"29",
"PERSON",
"Matthew"
],
[
"30",
"31",
"PERSON",
"Jason"
],
[
"43",
"44",
"PERSON",
"Lee"
],
[
"51",
"52",
"PERSON",
"Ian"
],
[
"59",
"60",
"PERSON",
"Sri"
],
[
"91",
"92",
"DATE",
"day"
],
[
"94",
"95",
"PERSON",
"Matthieu"
],
[
"109",
"110",
"PERSON",
"Matthieu"
],
[
"116",
"117",
"PERSON",
"Jason"
],
[
"134",
"135",
"LANGUAGE",
"French"
],
[
"136",
"137",
"PERSON",
"Jason"
],
[
"142",
"143",
"PERSON",
"Matthieu"
],
[
"150",
"151",
"LANGUAGE",
"French"
],
[
"162",
"164",
"DATE",
"next year"
]
] | 201 |
203 | [
"Atsushi Iimi is a Senior Economist in Transport & ICT Global Practice of the World Bank where he specializes in development economics related to the Bank’s transport operations in Africa. He joined the World Bank in 2006 after earning a Ph.D. in economics from Brown University. Before joining the Bank, he also worked at IMF and JICA/OEFC, Japan. His research interests include spatial analysis, rural accessibility, evaluation of transport and energy projects, growth and public expenditure. His research on these topics has been published in scholarly journals, such as the Review of Industrial Economics, Journal of Urban Economics, Journal of Applied Economics, the Development Economies, and IMF Staff Papers."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Atsushi Iimi is a Senior Economist in Transport & ICT Global Practice of the World Bank where he specializes in development economics related to the Bank’s transport operations in Africa. He joined the World Bank in 2006 after earning a Ph.D. in economics from Brown University. Before joining the Bank, he also worked at IMF and JICA/OEFC, Japan. His research interests include spatial analysis, rural accessibility, evaluation of transport and energy projects, growth and public expenditure. His research on these topics has been published in scholarly journals, such as the Review of Industrial Economics, Journal of Urban Economics, Journal of Applied Economics, the Development Economies, and IMF Staff Papers.']
Entities:
[{'head': ['0', '2', 'PERSON', 'Atsushi Iimi'], 'tail': ['13', '16', 'ORG', 'the World Bank']}]
Relation:
[/INST]
| [
[
{
"head": [
"0",
"2",
"PERSON",
"Atsushi Iimi"
],
"tail": [
"13",
"16",
"ORG",
"the World Bank"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Atsushi Iimi"
],
"tail": [
"25",
"26",
"ORG",
"Bank"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Atsushi Iimi"
],
"tail": [
"30",
"31",
"LOC",
"Africa"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Atsushi Iimi"
],
"tail": [
"34",
"37",
"ORG",
"the World Bank"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Atsushi Iimi"
],
"tail": [
"38",
"39",
"DATE",
"2006"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Atsushi Iimi"
],
"tail": [
"42",
"43",
"WORK_OF_ART",
"Ph.D."
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Atsushi Iimi"
],
"tail": [
"46",
"48",
"ORG",
"Brown University"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Atsushi Iimi"
],
"tail": [
"52",
"53",
"ORG",
"Bank"
]
}
],
[
{
"head": [
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] | [
"\"EMPLOYED_BY\"",
"WORKS_FOR",
"SPECIALIZES_IN_REGION\n\n[{'head': ['0', '2',",
"\"EMPLOYED_BY\"",
"JOINED_DATE",
"OBTAINED_DEGREE",
"[{\"label\": \"EDUCATED_AT\"}]\n\nThis relation indicates that Ats",
"WORKS_FOR",
"WORKED_FOR",
"WORKED_FOR",
"WORKED_AT",
"[{\"label\": \"AUTHOR_OF_PUBLICATION\"}]\n\nThis relation",
"[{\"relation\": \"AUTHOR_OF_PUBLICATION\"}]",
"[{\"relation\": \"HAS_PUBLISHED_IN\"}]",
"[{\"label\": \"AUTHOR_OF\"}]\n\nThis relation indicates that Atsush",
"WORKED_FOR",
"\"EMPLOYED\\_BY\"",
"[{\"head\": \"the World Bank\", \"relation\": \"EMPLOYED_BY\",",
"[{\"relation\": \"SPECIALIZES_IN_REGION\"}]",
"\"ORG_PART_OF\"",
"JOINED_DATE",
"OBTAINED_DEGREE",
"[{\"label\": \"EDUCATED_AT\"}]\n\nThis relation indicates that the head",
"[{\"head\": \"the World Bank\", \"relation\": \"EMPLOYED_BY\",",
"[\"PREVIOUS_EMPLOYER\"]",
"[\"PREVIOUS_EMPLOYER\"]",
"[{\"head\": \"the World Bank\", \"tail\": \"Japan\", \"label\": \"",
"[\"PUBLISHED_IN\"]",
"[{\"relation\": \"PUBLISHED_IN\"}]",
"Published_in",
"[\"PUBLISHED_IN\"]",
"[\"PREVIOUS_EMPLOYER\"]",
"[{\"label\": \"EMPLOYED_BY\"}]\n\nThis relation indicates that A",
"[{\"head\": \"Bank\", \"relation\": \"is_part_of\", \"tail\":",
"[{\"relation\": \"SPECIALIZES_IN_REGION\"}]",
"\"ORG_PART_OF\"",
"JOINED_DATE",
"[\"EARNED_DEGREE\"]",
"[{\"label\": \"EDUCATED_AT\"}]\n\nThis relation indicates that the head",
"\"ORG_PART_OF\"",
"[\"WORKED_AT\"]",
"[\"PREVIOUS_EMPLOYER\"]",
"[{\"head\": \"Bank\", \"relation\": \"WORKED_AT\", \"tail\": \"",
"[{\"relation\": \"PUBLISHED_IN\"}]",
"[{\"relation\": \"PUBLISHED_IN\"}]",
"\"PUBLISHED\\_IN\"",
"[{\"relation\": \"PUBLISHED_IN\"}]",
"[{\"WORKED_AT\": \"\"}]\n\nThis relation label indicates that the head entity (",
"SPECIALIZES_IN\n\n[{'head': ['30', '31',",
"[{\"relation\": \"OPERATES_IN\"}]",
"[{\"relation\": \"OPERATES_IN\"}]",
"[{\"relation\": \"OPERATES_IN\"}]",
"[{\"head\": \"Africa\", \"tail\": \"2006\", \"relation\":",
"[{\"head\": \"Africa\", \"relation\": \"LOCATION_OF_OBTAIN",
"[{\"relation\": \"ALMA_MATER_OF\"}]\n\nThis relation indicates that",
"[{\"relation\": \"OPERATES_IN\"}]",
" prior_work\n\n[Explanation: The relation \"prior_work\" indicates that",
"[\"PREVIOUS_EMPLOYER\"]",
"[{\"relation\": \"WORKED_FOR\"}]\n\nExplanation:\nThe text",
"Published_in\n\n[Explanation: The relation \"Published\\_in\" indicates",
"[{\"relation\": \"PUBLISHED_IN\"}]",
"Published_in",
"Published_in\n\n[Explanation: The relation \"Published\\_in\" indicates",
" prior_work\n\n[Explanation: The relation \"prior_work\" indicates that",
"\"EMPLOYED\\_BY\"",
"\"ORG_PART_OF\"",
"[\"ORGANIZATION_PART_OF\"]",
"[{\"relation\": \"SPECIALIZES_IN_REGION\"}]",
"JOINED_DATE",
"OBTAINED_DEGREE",
"[{\"label\": \"EDUCATED_AT\"}]\n\nThis relation indicates that the head",
"[\"ORGANIZATION_PART_OF\"]",
"[\"PREVIOUS_EMPLOYER\"]",
"[\"PREVIOUS_EMPLOYER\"]",
"[{\"head\": \"the World Bank\", \"relation\": \"WORKED_AT\", \"tail",
"[\"PUBLISHED_IN\"]",
"[{\"relation\": \"HAS_PUBLISHED_RESEARCH_IN\"}]",
"Published_in",
"[\"PUBLISHED_IN\"]",
"[\"PREVIOUS_EMPLOYER\"]",
"JOINED_DATE",
"JOINED_ORGANIZATION",
"JOINED_ORGANIZATION",
"[{\"relation\": \"SPECIALIZES_IN_REGION\"}]",
"JOINED_ORGANIZATION",
"[{\"label\": \"EDUCATION\"}]\n\nThis relation represents that the head entity (",
"JOINED_ORGANIZATION",
"WORKED_FOR\n\n[{'head': ['38', '39', 'DATE",
"WORKED_FOR",
"WORKED_FOR",
"[\"HAS_PUBLISHED_IN\"]",
"[{\"relation\": \"HAS_PUBLISHED_IN\"}]",
"[\"HAS_PUBLISHED\"]",
"[{\"relation\": \"HAS_PUBLISHED_IN\"}]",
"WORKED_FOR\n\n[{'head': ['38', '39', 'DATE",
"\"EARNED\\_BY\"",
"\"EMPLOYED_BY\"",
"\"EDUCATION\"\n\nor\n\n\"OBTAINED_DEGREE_",
"[{\"relation\": \"SPECIALIZES_IN_REGION\"}]",
"\"EMPLOYED_BY\"",
"\"EDUCATION\"",
"\"EDUCATION\"\n\nor\n\n\"OBTAINED_DEGREE_",
"WORKED_FOR",
"[{\"label\": \"WORKED_FOR\"}]\n\nThis relation indicates that the head entity",
" prior_work_at\n\n[{'head': ['42', '43', '",
"[{\"relation\": \"AUTHOR_OF_PUBLICATION\"}]",
"[{\"relation\": \"HAS_PUBLISHED_IN\"}]",
"[{\"relation\": \"HAS_PUBLISHED_IN\"}]",
"[{\"relation\": \"HAS_PUBLISHED_IN\"}]",
"WORKED_FOR",
"\"ALMA_MATER\"",
"\"EDUCATION\"\n\nThis relation indicates that the head entity (Brown University) is",
"[{\"label\": \"EDUCATED_AT\"}]\n\nThis relation indicates that the head",
"[{\"relation\": \"SPECIALIZES_IN_REGION\"}]\n\nThis relation indicates",
"[{\"label\": \"EDUCATED_AT\"}]\n\nThis relation indicates that the head",
"[{\"relation\": \"PHD_FROM\"}]",
"\"EDUCATION\"",
"[{\"label\": \"EDUCATED_AT\"}]\n\nThis relation indicates that the head",
"WORKED_FOR\n\n[{'head': ['46', '48', 'OR",
"[\"WORKED_FOR\"]",
"[{\"label\": \"PREVIOUS_EMPLOYER\"}]\n\nThis relation",
"Published_in\n\n[Explanation: The relation \"Published\\_in\" indicates",
"Published_in\n\n[Explanation: The relation \"Published\\_in\" indicates",
"Published_In\n\n[Explanation: The relation \"Published In\" indicates that",
"[\"PUBLISHED_IN\"]",
"WORKED_FOR\n\n[{'head': ['46', '48', 'OR",
"\"EMPLOYED\\_BY\"",
"\"ORG_PART_OF\"",
"\"ORG_PART_OF\"",
"[{\"relation\": \"SPECIALIZES_IN_REGION\"}]",
"\"ORG_PART_OF\"",
"JOINED_DATE",
"OBTAINED_DEGREE",
"[{\"label\": \"EDUCATED_AT\"}]\n\nThis relation indicates that the head",
"[\"WORKED_AT\"]",
"[\"PREVIOUS_EMPLOYER\"]",
"[{\"head\": \"Bank\", \"relation\": \"WORKED_AT\", \"tail\": \"",
"[{\"relation\": \"PUBLISHED_IN\"}]",
"[{\"relation\": \"PUBLISHED_IN\"}]",
"\"PUBLISHED\\_IN\"",
"[\"PUBLISHED_IN\"]",
"[{\"WORKED_AT\": \"\"}]\n\nThis relation label indicates that the head entity (",
"WORKED_FOR",
"[\"PREVIOUS_EMPLOYER\", \"WORKED_AT\"]",
"[\"WORKED_FOR\"]",
"[{\"relation\": \"SPECIALIZES_IN_REGION\"}]\n\nThis relation indicates",
"[\"PREVIOUS_EMPLOYER\", \"EMPLOYER\"]",
"WORKED_FOR\n\n[{'head': ['58', '59', 'OR",
"[{\"label\": \"EDUCATION\"}]\n\nThis relation indicates that the head entity (",
"[{\"label\": \"EDUCATED_AT\"}]\n\nThis relation indicates that the head",
"[\"WORKED_FOR\"]",
"[\"WORKED_FOR\"]",
"WORKED_FOR\n\n[{'head': ['58', '59', 'OR",
"Published_in\n\n[{'head': ['58', '59', 'OR",
"Published_in\n\n[Explanation: The entity IMF is the head and Journal",
"Published_in\n\n[{'head': ['58', '59', 'OR",
"[{\"publisher_of\": []}]\n\nThis relation represents that IMF publishes",
"WORKED_AT\n\n[{'head': ['58', '59', 'OR",
"WORKED_FOR",
"[\"PREVIOUS_EMPLOYER\", \"EMPLOYER\"]",
"[\"PREVIOUS_EMPLOYER\", \"EMPLOYER\"]",
"[{\"relation\": \"OPERATES_IN\"}]",
"[\"PREVIOUS_EMPLOYER\", \"EMPLOYER\"]",
"[{\"relation\": \"WORKED_FOR\"}]\n\nThis relation indicates that the organization J",
"[{\"label\": \"EDUCATION\"}]\n\nThis relation indicates that JICA/",
"[{\"label\": \"ALUMNI_OF\"}]\n\nThis relation indicates that Brown University",
"[\"PREVIOUS_EMPLOYER\"]\n\nExplanation:\nThe text",
"[\"PREVIOUS_EMPLOYER\", \"EMPLOYED_AT\"]",
"\"PREVIOUSLY_WORKED_FOR\"",
"[{\"publisher\": \"NO_RELATION\"}]\n\n[{\"entity1\": \"",
"[{\"publisher\": \"NO_RELATION\", \"paper\": \"Journal of Urban Economics",
"[{\"publisher\": \"NO_RELATION\", \"paper\": \"JOURNAL\"}]",
"[{\"publisher\": \"NO_RELATION\", \"journal\": \"JICA/O",
"[{\"past_employment_of\": [\"JICA/OEFC\", \"",
"[{\"label\": \"WORKED_FOR\"}]\n\nThis relation indicates that Atsush",
"[{\"head\": \"Japan\", \"relation\": \"previously_worked_at\",",
"[{\"head\": \"Japan\", \"relation\": \"previously_worked_at\",",
"[{\"relation\": \"LOCATION_OF_OPERATION\"}]\n\nOr, if you",
"[{\"label\": \"WORKED_FOR\"}]\n\nThis relation indicates that the head entity",
"[{\"head\": \"Japan\", \"tail\": \"2006\", \"relation\":",
"Before_Obtaining:\n[{\"relation\": \"EDUCATION_BEFORE\", \"",
"[{\"label\": \"EDUCATED_AT\"}]\n\nThis relation indicates that the head",
"[{\"head\": \"Japan\", \"relation\": \"previously_worked_at\",",
"WORKED_FOR",
"[\"past_employer\"]",
"Published_in\n\n[Explanation: The relation \"Published\\_in\" indicates",
"Published\\_in",
"Published\\_in",
"Published\\_in",
"[\"WORKED_FOR\"]",
"[{\"relation\": \"AUTHOR_OF\"}]\n\nThis relation indicates that Atsush",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[{\"relation\": \"RESEARCH_IN_REGION\"}]\n\nThis relation indicates that",
"[\"PUBLISHED_IN\"]",
"Published_in_year\n\n[{'head': ['102', '10",
"[\"HAS_DEGREE_FROM\"]",
"[{\"label\": \"ALMA_MATER\"}]\n\nThis relation indicates that Brown University",
"[\"PUBLISHED_IN\"]",
"[{\"label\": \"PREVIOUS_EMPLOYER\"}]\n\nThis relation",
"[{\"label\": \"WORKED_FOR\"}]\n\nThis relation indicates that the head entity",
"[{\"relation\": \"PUBLISHED_IN\"}]\n\nThis relation indicates that",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[{\"label\": \"PREVIOUS_EMPLOYER\"}]\n\nThis relation",
"[{\"relation\": \"PUBLISHED_IN\"}]",
"[\"PUBLISHED_IN\"]",
"[{\"relation\": \"PUBLISHED_IN\"}]\n\nThis relation indicates that",
"[{\"relation\": \"LOCATION_OF_PUBLICATION\"}]\n\nThis relation",
"Published_In\n\n[Explanation: The relation \"Published_In\" indicates",
"Published_in\n\n[{'head': ['38', '39', 'DATE",
"[{\"relation\": \"HAS_DEGREE_FROM\"}]\n\nThis relation indicates that",
"[{\"label\": \"ALMA_MATER\"}]\n\nThis relation indicates that Brown University",
"[{\"relation\": \"PUBLISHED_IN\"}]",
"[{\"label\": \"PREVIOUS_EMPLOYER\"}]\n\nThis relation",
"[\"PREVIOUS_EMPLOYER\"]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[{\"label\": \"PREVIOUS_EMPLOYER\"}]\n\nThis relation",
"[{\"relation\": \"AUTHOR_OF\"}]\n\nThis relation indicates that Atsush",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[{\"relation\": \"PUBLISHED_IN\"}]",
"[\"PUBLISHED_IN\"]",
"Published_in_year\n\n[Explanation: The relation \"Published\\_in",
"[{\"relation\": \"PUBLISHED_IN\"}]",
"[{\"label\": \"ALMA_MATER\"}]\n\nThis relation indicates that Brown University",
"[\"PUBLISHED_IN\"]",
"[{\"label\": \"PREVIOUS_EMPLOYER\"}]\n\nThis relation",
"[\"PREVIOUS_EMPLOYER\"]",
"[{\"relation\": \"PUBLISHED_IN\"}]\n\nThis relation indicates that",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[{\"label\": \"PREVIOUS_EMPLOYER\"}]\n\nThis relation",
"[{\"relation\": \"AUTHOR_OF\"}]\n\nThis relation indicates that Atsush",
"[\"PUBLISHES_IN\"]",
"[\"PUBLISHED_IN\"]",
"[{\"relation\": \"SPECIALIZES_IN_REGION\"}]",
"\"PUBLISHES_IN\"",
"[\"JOINED\"]",
"OBTAINED_DEGREE",
"[{\"label\": \"ALMA_MATER\"}]\n\nThis relation indicates that Brown University",
"[\"PUBLISHED_IN\"]",
"[\"HAS_WORKED_FOR\"]\n\nExplanation:\nThe text states that A",
"[{\"label\": \"WORKED_FOR\"}]\n\nThis relation indicates that the head entity",
"[{\"head\": \"the Development Economies\", \"tail\": \"Japan\", \"label\":",
"[\"PUBLISHED_IN\"]",
"[{\"relation\": \"PUBLISHED_IN\"}]",
"[\"PUBLISHED_IN\"]",
"[{\"label\": \"PREVIOUS_EMPLOYER\"}]",
"WORKED_FOR",
"[\"PREVIOUS_EMPLOYER\"]\n\nExplanation:\nThe text",
"[\"PREVIOUS_EMPLOYER\"]\n\nExplanation:\nThe text",
"[{\"relation\": \"SPECIALIZES_IN_REGION\"}]\n\nThis relation indicates",
"[\"PREVIOUS_EMPLOYER\", \"EMPLOYED_AT\"]",
"WORKED_FOR\n\n[{'head': ['38', '39', 'DATE",
"[{\"label\": \"EDUCATION\"}]\n\nThis relation indicates that the head entity (",
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
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Relation:
[/INST]
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205 | [
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{
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}
],
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{
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}
],
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{
"head": [
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],
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{
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],
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}
],
[
{
"head": [
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}
],
[
{
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],
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}
],
[
{
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}
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[
{
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[
{
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[
{
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"tail": [
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}
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[
{
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}
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[
{
"head": [
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],
"tail": [
"46",
"48",
"PERSON",
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}
],
[
{
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}
],
[
{
"head": [
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}
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{
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}
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[
{
"head": [
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"tail": [
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"80",
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]
}
],
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{
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}
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{
"head": [
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],
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}
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[
{
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}
],
[
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{
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"Carnation Registrars Limited"
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}
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{
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{
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{
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}
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{
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}
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{
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}
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{
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}
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}
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}
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}
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{
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],
"tail": [
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"ORG",
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]
}
],
[
{
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],
"tail": [
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"ORG",
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}
],
[
{
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}
],
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{
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],
"tail": [
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"48",
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]
}
],
[
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"tail": [
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}
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{
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}
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"tail": [
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"tail": [
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}
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}
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}
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}
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] | 205 |
207 | [
"Back to Europe.\nIntroOver the extended 4th Of July Weekend, Shirley and I got a chance to return for a bit of climbing to the Dolomites. We’ve been thinking about making this trip since our last visit there two years ago. Unlike in 2008 however (when we had 4+ weeks), this time we had just under a week (unfortunately!) to get our fill of the beautiful limestone routes. Though we failed to tick off the main objective of our trip due to weather, we did get a couple of great mid-sized routes in.\nGo to First Sella Tower, Tissi."
] | [
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
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"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
" [\"THEME_OF\", \"Harry Potter\", \"Halloween\"]\n\nOr,",
"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions \"",
"RELATION_TYPE: \"HAS_EVENT\"",
" sells_costumes_for\n\nExplanation:\nThe text mentions that Cost",
" [\"TRANSFORMS_INTO\"]",
" [\"EVIL_PERSON_ORGANIZATION\", \"OPPOSITE\"]\n\n",
"[\"SELLS_QUANTITY_OF\", \"Harry Potter\", \"Costumes",
" [\"THEME_OF\", \"Harry Potter\", \"Halloween\"]\n\nOr,",
" sells_costumes_for\n\nExplanation:\nThe text describes how Costumes",
"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions that",
"[\"SELF\"]",
"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions that",
" [\"LOVED_BY\"]\n\n Explanation:\n The text mentions that readers and",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
" [\"THEME_OF\", \"Harry Potter\", \"Halloween\"]\n\nOr,",
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" [\"TRANSFORMS_INTO\"]",
" [\"EVIL_PERSON_ORGANIZATION\", \"OPPOSITE\"]\n\n",
"[\"SELLS_QUANTITY_OF\", \"Harry Potter\", \"Costumes",
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" sells_costumes_for\n\nExplanation:\nThe text mentions that Cost",
"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions that",
"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions \"",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that people have",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that people have",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that people love",
" [\"PERSON_CAN_PARTICIPATE_IN\", \"Ron\", \"Halloween",
" [\"LOVED_BY\"]\n\n Explanation:\n The text mentions that \"if",
" IF_EVENT_OCCURS_ON\n\n or\n\n RELATED_TO\n",
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" [\"EVIL_PERSON_ORGANIZATION\", \"OPPOSITE\"]\n\n",
" [\"EVIL_PERSON_ORGANIZATION\", \"OPPOSITE\"]\n\n",
"[\"IF_PERSON_BUYS\", \"PERSON\", \"PRODUCT\"]\n\n",
" [\"PERSON_CAN_PARTICIPATE_IN\", \"Halloween\"]\n\nor",
" sells_costumes_to\n\nExplanation:\nThe text describes how Costumes",
" [\"LOVED_BY\"]\n\n Explanation:\n The text mentions that people have",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that people have",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
"[\"PERSON_LOVED_BY_PERSON\"]",
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" [\"EVIL_PERSON_TARGET_PERSON\"]",
"[\"CAN_BUY\"]",
" [\"TRANSFORM_INTO\", \"PERSON\", \"DATE\"]",
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"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
" [\"THEME_OF\", \"Halloween\", \"Harry Potter\"]",
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" IF_EVENT_RELATED_TO_PERSON\n OR\n CAN_BECOME_",
" [\"THEME_OF\", \"Halloween\", \"Harry Potter\"]",
" sells_costumes_for\n\nExplanation:\nThe text mentions that Cost",
" [\"CAN_TRANSFORM_INTO\"]",
" [\"TRANSFORM_INTO\"]",
" sells_costumes_for\n\nExplanation:\nThe text mentions that Cost",
" [\"THEME_OF\", \"Halloween\", \"Harry Potter\"]",
" [\"THEME_OF\", \"Halloween\", \"Harry Potter\"]",
"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions \"",
"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions that",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
" [\"THEME_OF\", \"Harry Potter\", \"Halloween\"]\n\nOr,",
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" seller_of\n\n[{'head': ['62', '64', 'PERSON",
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"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions \"",
" [\"HOLIDAY\", \"this Halloween\", \"RELATED_TO\", \"CHARACTER",
" [\"HOLIDAY\", \"this Halloween\", \"RELATED_TO\", \"PERSON\",",
" IF_EVENT_OCCURS_AT_TIME_AND_INVOLVES_",
" IF_EVENT_RELATED_TO_PERSON\n [\"Hermione\" is a PER",
" [\"HOLIDAY\", \"this Halloween\", \"RELATED_TO\", \"PERSON\",",
" sells_costumes_for\n\nThis relation indicates that \"this Halloween\" (head)",
" [\"HAVE_COSTUME_OF\", {\"head\": \"this Halloween\", \"tail",
" [\"HAVE_RELATION\", \"seller\", \"offers\", \"character\"]\n\n",
" sells_costumes_for\n\nExplanation:\nThe text mentions that \"",
" [\"HOLIDAY\", \"this Halloween\", \"THEME\", \"Harry Potter\"]",
" [\"HOLIDAY\", \"this Halloween\", \"RELATED_TO\", \"PERSON\",",
" sells_costumes_for\n\nThis relation indicates that Costumes Canada sells costumes",
" sells_costumes_for\n\nThis relation indicates that Costumes Canada sells costumes",
"[\"SELLER_OF\"]\n\nExplanation:\nThe text mentions that Cost",
" SELLS\n or\n PROVIDES\n\n(Costumes Canada sells or",
" SELLS_FOR\n (Note: In this context, \"if you're",
" sells_costumes_for\n\nThis relation indicates that Costumes Canada sells costumes",
" sells_during\n\n[{'head': ['76', '78', '",
" SELLS\n\n[{'head': ['76', '78', 'OR",
" sells_costume\n\nThis relation indicates that Costumes Canada sells costumes for the",
"[\"SELLER\", \"has\", \"VENDOR\"]\n\nOr, since the text mentions",
" sells_costumes_for_event\n\n[{'head': ['76', '",
"[\"IS_PART_OF\"]",
" SELLS\n [{'head': ['76', '78', 'OR",
" SELLS\n [{'head': ['76', '78', 'OR",
" [\"TRANSFORMS_INTO\"]",
" [\"TRANSFORMS_INTO\"]",
"[\"EVIL_PERSON_OR_GROUP\", \"OPPONENT_OR_EN",
" [\"TRANSFORM_INTO\"]",
" [\"TRANSFORM_TO\", \"Dumbledore\", \"you\", \"Halloween\"]",
" [\"TRANSFORMS_INTO\"]",
"TRANSFORM_EVENT\n\nExplanation:\nThe text describes how Costumes Canada provides the",
"[\"MANUFACTURER\"]",
"[{\"relation\": \"ENEMY\"}]",
"[\"PROVIDES\", \"SELLS\"]\n\nExplanation:\nThe text ment",
" [\"TRANSFORM_EVENT\", \"Dressed_as\", \"Halloween\"]\n\n or ",
"[\"SELLS_PRODUCTS_FOR\"]\n\nExplanation:\nThe text",
" [\"TRANSFORMS_INTO\"]",
" [\"TRANSFORMS_INTO\"]",
" [\"EVIL_PERSON_IS_CHARACTER_OF_ANOTHER_PER",
" [\"EVIL_PERSON_IS_CHARACTER_OF_ANOTHER_PER",
"[\"EVIL_PERSON_IS_OPPONENT_OF_PERSON\"]\n",
"[\"EVIL_PERSON_AND_PERSON\"]\n\nOr, if you prefer a",
"TRANSFORM_INTO\n\n[{'head': ['Voldemort'], 'tail':",
" [\"EVIL_PERSON_IS_CHARACTER_OF_ANOTHER_PER",
"TRANSFORM_INTO\n\n[{'head': ['115', '116",
"Sells_Costumes_For\n\nExplanation:\nThe text mentions that Cost",
"[\"EVIL_PERSON\", \"WISE_PERSON\"]\n[\"ANTAGONIST\",",
"[\"TRANSFORM_INTO\"]",
"TRANSFORM_INTO\n\n[{'head': ['115', '116",
" sells_costumes_for\n\nThis relation indicates that Voldemort (head entity",
" [\"EVIL_AGAINST_HERO\"]",
" [\"EVIL_AGAINST_HERO\"]",
" [\"LOVED_BY\"]",
" [\"PRODUCER_OF\", \"RETAILER\"]\n\nExplanation:",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
"[\"LOVED_BY\"]",
" [\"PRODUCER_OF\", \"RETAILER\"]\n\nExplanation:",
"[\"SELLER_OF\"]",
"[\"PRODUCER_OF\"]\n\nExplanation:\nThe context suggests that Cost",
"[\"SELLS\", {\"head\": \"Costumes Canada\", \"tail\": \"Voldem",
"[\"SELLER_OF\"]",
" [\"PRODUCER_OF\", \"SELLER_OF\"]\n\n Explanation",
" [\"PRODUCER_OF\", \"RETAILER_OF\"]\n\nExplan",
"[\"THEME_OF\", \"Halloween\", \"Harry Potter\"]",
" [\"THEME_OF\", \"Halloween\", \"Harry Potter\"]",
"[{\"relation\": \"CAN_BE_DRESSED_AS\"}]\n\nThis relation",
"[\"IF_EVENT_THEME\", \"Halloween\", \"LOVED_BY\", \"H",
" [\"THEME_OF\", \"Halloween\", \"Harry Potter\"]",
" sells_costumes_for\n\nExplanation:\nThe text mentions that Cost",
"[\"PROVIDES_Costume\", \"Halloween\", \"Dumbledore\"]\n\nOr",
"[\"SELLS\", {\"head\": \"Costumes Canada\", \"tail\": \"Voldem",
" sells_costumes_for\n\nExplanation:\nThe text mentions that Cost",
" [\"THEME_OF\", \"Halloween\", \"Harry Potter\"]",
" [\"THEME_OF\", \"Halloween\", \"Harry Potter\"]",
" SELLS\n [{'head': ['134', '136',",
" sells_costumes_for\n\nThis relation indicates that Costumes Canada sells costumes",
"[\"SELLER\", \"SELLS\", \"BUYER\"]\n\nOr, since",
"[\"SELLER\", \"OF\", \"CHARACTER\"]\n\nOr, since the head",
" sells_costumes_for_event\n\nThis relation indicates that Costumes Canada sells",
" sells_costumes_for\n\nThis relation indicates that Costumes Canada sells costumes",
" sells_during\n\n[Explanation: The head entity \"Costumes Canada\"",
"[\"IS_PART_OF\"]",
"[\"SELLS_costume_OF_TYPE_Character\"\n {\"head\": [\"1",
" sells\n\n[{'head': ['134', '136', 'OR",
"[\"SELLER\", \"has\", \"PROVIDER\"]",
" sells_costumes_for_event\n\n[{'head': ['134',",
" sells_costumes_for\n\nThis relation indicates that Costumes Canada sells costumes",
" sells_costumes_for\n\nThis relation indicates that Costumes Canada sells costumes",
" [\"SELF_REFERENCE\"]\n\n Explanation:\n The text mentions that",
"[\"SELF\"]",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
" [\"THEME_OF\", \"Harry Potter\", \"Halloween\"]\n\nOr,",
"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions that",
"RELATION_TYPE: \"Will_Wear_On\"\n\nOr, since the entities",
" seller_of\n\n[{'head': ['140', '142', '",
" [\"TRANSFORM_INTO\"]",
" [\"EVIL_AGAINST_GOOD\"]",
"[\"SELLS_QUANTITY_OF\", \"Harry Potter\", \"Costumes",
" [\"THEME_OF\", \"Harry Potter\", \"Halloween\"]\n\nOr,",
" seller_of\n\nConfidence: 100%",
"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions that",
" [\"LOVED_BY\"]",
" [\"SELF_REFERENCE\"]\n\n Explanation:\n The text mentions that",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
"[\"LOVED_BY\"]\n\nExplanation:\nThe text mentions that readers and",
" [\"THEME_OF\", \"Harry Potter\", \"Halloween\"]\n\nOr,",
"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions that",
"RELATION_TYPE: \"CAN_WEAR_FOR\"\n\nOr, since the entities",
" sells_costumes_for\n\nExplanation:\nThe text mentions that Cost",
" [\"TRANSFORM_INTO\"]",
" [\"EVIL_PERSON_ORGANIZATION\", \"OPPOSITE\"]\n\n",
"[\"SELLS_QUANTITY_OF\", \"Harry Potter\", \"Costumes",
" [\"THEME_OF\", \"Harry Potter\", \"Halloween\"]\n\nOr,",
" seller_of\n\n[Explanation: The relation between \"Harry Potter\" (",
" [\"SELF_REFERENCE\"]\n\n Explanation:\n The text mentions that"
] | [
[
"20",
"22",
"PERSON",
"Harry Potter"
],
[
"26",
"28",
"PERSON",
"Harry Potter"
],
[
"29",
"30",
"PERSON",
"Ron"
],
[
"31",
"32",
"PERSON",
"Hermione"
],
[
"51",
"52",
"DATE",
"Halloween"
],
[
"62",
"64",
"PERSON",
"Harry Potter"
],
[
"65",
"67",
"DATE",
"this Halloween"
],
[
"76",
"78",
"ORG",
"Costumes Canada"
],
[
"111",
"112",
"PERSON",
"Dumbledore"
],
[
"115",
"116",
"PERSON",
"Voldemort"
],
[
"118",
"119",
"CARDINAL",
"one"
],
[
"128",
"129",
"DATE",
"Halloween"
],
[
"134",
"136",
"ORG",
"Costumes Canada"
],
[
"140",
"142",
"PERSON",
"Harry Potter"
],
[
"168",
"170",
"PERSON",
"Harry Potter"
]
] | 208 |
210 | [
"Christopher Hill is Chief Financial Officer for Cthulhu Ventures and for a number of the companies in which Cthulhu Ventures has invested, including, inter alia, the Warner Babcock Institute for Green Chemistry. From 2005 to 2007, Chris acted as Chief Financial Officer for Above Board Technologies, a company founded to manufacture construction products made from sustainable, non-wood fibers. Since 1995, he has served as the President and CEO of Modulus Guitars, a manufacturer of guitars and basses for professional musicians. From 1987 to 1995, he served as Senior Financial Manager, Vice President of Finance, and Director of Information Technology for ViTel International Inc., an international leader in electronic business messaging.\nOverall, Chris has over twenty years of experience in finance and information systems management and holds a degree in Accounting from Carlow University in Ireland."
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Christopher Hill is Chief Financial Officer for Cthulhu Ventures and for a number of the companies in which Cthulhu Ventures has invested, including, inter alia, the Warner Babcock Institute for Green Chemistry. From 2005 to 2007, Chris acted as Chief Financial Officer for Above Board Technologies, a company founded to manufacture construction products made from sustainable, non-wood fibers. Since 1995, he has served as the President and CEO of Modulus Guitars, a manufacturer of guitars and basses for professional musicians. From 1987 to 1995, he served as Senior Financial Manager, Vice President of Finance, and Director of Information Technology for ViTel International Inc., an international leader in electronic business messaging.\nOverall, Chris has over twenty years of experience in finance and information systems management and holds a degree in Accounting from Carlow University in Ireland.']
Entities:
[{'head': ['0', '2', 'PERSON', 'Christopher Hill'], 'tail': ['7', '9', 'ORG', 'Cthulhu Ventures']}]
Relation:
[/INST]
| [
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"28",
"35",
"ORG",
"the Warner Babcock Institute for Green Chemistry"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"36",
"40",
"DATE",
"From 2005 to 2007"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"41",
"42",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"48",
"51",
"ORG",
"Above Board Technologies"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"69",
"70",
"DATE",
"1995"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"80",
"82",
"ORG",
"Modulus Guitars"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"94",
"97",
"DATE",
"1987 to 1995"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"108",
"109",
"ORG",
"Finance"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"116",
"119",
"ORG",
"ViTel International Inc."
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"131",
"132",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"134",
"136",
"DATE",
"twenty years"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"151",
"153",
"ORG",
"Carlow University"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Christopher Hill"
],
"tail": [
"154",
"155",
"GPE",
"Ireland"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"0",
"2",
"PERSON",
"Christopher Hill"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"28",
"35",
"ORG",
"the Warner Babcock Institute for Green Chemistry"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"36",
"40",
"DATE",
"From 2005 to 2007"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"41",
"42",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"48",
"51",
"ORG",
"Above Board Technologies"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"69",
"70",
"DATE",
"1995"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"80",
"82",
"ORG",
"Modulus Guitars"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"94",
"97",
"DATE",
"1987 to 1995"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"108",
"109",
"ORG",
"Finance"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"116",
"119",
"ORG",
"ViTel International Inc."
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"131",
"132",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"134",
"136",
"DATE",
"twenty years"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"151",
"153",
"ORG",
"Carlow University"
]
}
],
[
{
"head": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"154",
"155",
"GPE",
"Ireland"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"0",
"2",
"PERSON",
"Christopher Hill"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"28",
"35",
"ORG",
"the Warner Babcock Institute for Green Chemistry"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"36",
"40",
"DATE",
"From 2005 to 2007"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"41",
"42",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"48",
"51",
"ORG",
"Above Board Technologies"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"69",
"70",
"DATE",
"1995"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"80",
"82",
"ORG",
"Modulus Guitars"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"94",
"97",
"DATE",
"1987 to 1995"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"108",
"109",
"ORG",
"Finance"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"116",
"119",
"ORG",
"ViTel International Inc."
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"131",
"132",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"134",
"136",
"DATE",
"twenty years"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"151",
"153",
"ORG",
"Carlow University"
]
}
],
[
{
"head": [
"18",
"20",
"ORG",
"Cthulhu Ventures"
],
"tail": [
"154",
"155",
"GPE",
"Ireland"
]
}
],
[
{
"head": [
"28",
"35",
"ORG",
"the Warner Babcock Institute for Green Chemistry"
],
"tail": [
"0",
"2",
"PERSON",
"Christopher Hill"
]
}
],
[
{
"head": [
"28",
"35",
"ORG",
"the Warner Babcock Institute for Green Chemistry"
],
"tail": [
"7",
"9",
"ORG",
"Cthulhu Ventures"
]
}
],
[
{
"head": [
"28",
"35",
"ORG",
"the Warner Babcock Institute for Green Chemistry"
],
"tail": [
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] | [
"[\"ORGANIZATION_HEAD_OF_FINANCE\"]",
" [\"ORGANIZATION_HEAD_OF_ORGANIZATION\"\"]\n\n",
"[\"ORGANIZATION_HEAD_OF\"\"]\n\nThis relation indicates that Christopher Hill",
"WORKED_FOR_PERIOD\n\n[{'head': ['0', '2',",
"[{\"label\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{\"label\": \"PREVIOUS_COMPANY_OF\", \"head\": \"2",
" SINCE\n [{'head': ['0', '2', 'PERSON',",
"[{\"label\": \"PRESIDENT_AND_CEO\"}]",
"[{\"head\": [\"0\", \"2\", \"PERSON\", \"Christopher Hill\"], \"",
"[{\"label\": \"FINANCIAL_OFFICER_OF\"}]\n\nThis relation",
"[{\"label\": \"WORKED_FOR\"}]",
"[{\"label\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"\"DURATION\"",
"[{\"label\": \"EDUCATED_AT\"}]\n\nThis relation indicates that Christopher Hill",
"[{\"head\": [\"0\", \"2\", \"PERSON\", \"Christopher Hill\"], \"",
" [\"EMPLOYER_OF\"]",
" [\"PARENT_COMPANY\"]",
"[\"INVESTED_IN\"]",
"\"EMPLOYED_BY\"",
" [\"ORGANIZATION_HEAD_OF_ORGANIZATION\"\"]\n\n",
"[\"INVESTOR\"]",
" since_founding",
" [\"INVESTOR_MANAGER\"]\n\n Explanation:\n Chris is the",
"[{\"head\": [\"7\", \"9\", \"ORG\", \"Cthulhu Vent",
"[\"ORGANIZATION_HAS_ROLE\" : {\"head\" : \"Cth",
" [\"INVESTOR\"]\n\n Explanation:\n In the context provided, \"C",
" [\"ORGANIZATION_HEAD_OF_ORGANIZATION\"\"]\n\n",
"\"HAS_EXPERIENCE_SINCE\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"head\": [\"7\", \"9\", \"ORG\", \"Cthulhu Vent",
" [\"EMPLOYER_OF\"]",
"\"ORGANIZATION_PART_OF\"",
"[\"INVESTMENT\"]",
"\"EMPLOYED_BY\"",
" [\"ORGANIZATION_HEAD_OF_ORGANIZATION\"\"]\n\n",
"INVESTOR",
" since_founding",
"\"INVESTOR\"",
"[{\"head\": [\"18\", \"20\", \"ORG\", \"Cthul",
"[\"ORGANIZATION_HAS_ROLE\" : {\"head\" : \"Cth",
"[\"INVESTOR\"]",
" [\"ORGANIZATION_HEAD_OF_ORGANIZATION\" ]",
"\"DURATION\"\n\nThis relation signifies that the duration of Chris's experience with",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"C",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between '",
"[\"ORGANIZATION_HEAD_OF_ORGANIZATION\"\"]\n\n",
"[\"INVESTED_IN\"]",
"[\"INVESTED_IN\"]",
"\"EMPLOYED_DURING\"",
"[{\"label\": \"EMPLOYER_OF\"}]\n\nThis relation indicates that the",
"[\"INVESTED_IN\"]",
" since (START)\n\n Text: ... he has served as the President and CEO of Modulus",
"[\"INVESTED_IN\"]",
"[{\"head\": [\"28\", \"35\", \"ORG\", \"the Warner Bab",
"[\"IS_FINANCIAL_OFFICER_OF\"]",
" [\"INVESTED_IN\"]",
"[\"ORGANIZATION_PART_OF\", \"the Warner Babcock Institute for Green Chem",
"\"HAS_EXPERIENCE_DURATION\"",
"[{\"head\": [\"28\", \"35\", \"ORG\", \"the Warner Bab",
"[{\"head\": [\"28\", \"35\", \"ORG\", \"the Warner Bab",
"[{\"label\": \"WORKED_FOR\"}]\n\nThis relation indicates that Christopher Hill worked",
"[{\"label\": \"EMPLOYER_OF\"}]\n\nThis relation indicates that C",
"[{\"label\": \"EMPLOYER_OF\"}]\n\nThis relation indicates that C",
"[{\"label\": \"EMPLOYED_BY\"}]\n\nThis relation indicates that Chris",
"[{\"label\": \"WORKED_FOR\"}]\n\nThis relation indicates that Chris worked for",
"[{\"label\": \"PREVIOUS_COMPANY_OF\"}]\n\nThis relation",
"[{\"label\": \"PREVIOUS_EMPLOYER\"}]",
"[{\"label\": \"PREVIOUS_COMPANY_ROLE\", \"head\": \"",
"[{\"label\": \"WORKED_FOR\"}]",
"[{\"label\": \"WORKED_FOR\"}]\n\nThis relation indicates that Chris worked for",
"EDUCATION\n\nExplanation:\nThe text states that Chris has a degree in Account",
"[{\"label\": \"WORKED_AT\"}]\n\nThis relation represents that Chris worked at",
"[{\"label\": \"SELF_REFERENCE\"}]\n\n[Or, since the",
"[\"ORGANIZATION_HEAD_OF_FINANCE\"\"]\n\nThis relation indicates",
"[\"ORGANIZATION_HEAD_OF_FINANCE_FOR_ORGANIZ",
"\"HEAD_OF\"",
"[{\"label\": \"WORKED_FOR\", \"head\": \"Chris\", \"tail\":",
"[{\"label\": \"PREVIOUS_COMPANY_OF\", \"head\": \"Ch",
" SINCE (start date for a position)",
"[{\"head\": \"Chris\", \"relation\": \"PRESIDENT_AND_CEO",
"[{\"head\": [\"41\", \"42\", \"PERSON\", \"Chris\"],",
"[{\"relation\": \"HAS_ROLE\", \"label\": \"has_role\"}]",
"[{\"label\": \"WORKED_FOR\"}]",
"[{\"relation\": \"SELF\"}]\n\nOr, if you mean to ask for the",
"\"DURATION\"",
"EDUCATED_AT",
"EDUCATION\n\nExplanation:\nThe text states that Chris holds a degree in Account",
" [\"ORGANIZATION_HEAD_OF_FINANCE\" , \"PERSON\"]\n",
" [\"INVESTED_BY\"]",
"INVESTED_IN",
"[\"INVESTED_IN\"]",
"[{\"head\": [\"48\", \"51\", \"ORG\", \"Above Board",
" [\"ORGANIZATION_HEAD_OF_FINANCE\", \"ORG\", \"Ab",
"FROM_YEAR\n\n[{'head': ['48', '51', 'OR",
" [\"PREVIOUS_EMPLOYER\"]",
"[{\"head\": [\"48\", \"51\", \"ORG\", \"Above Board",
"[{\"head\": \"Above Board Technologies\", \"relation\": \"has_cfo\",",
"PREVIOUS_EMPLOYER",
" [\"ORGANIZATION_HEAD_OF_FINANCE\", \"ORG\", \"Ab",
"[{\"head\": [\"48\", \"51\", \"ORG\", \"Above Board",
"EDUCATION\n\nExplanation:\nThe text mentions that Chris has a degree in",
"[{\"head\": [\"48\", \"51\", \"ORG\", \"Above Board",
" SINCE_FOUNDER\n or\n HAS_BEEN_CE",
" SINCE_FOUNDER\n\n [{'head': ['7', '9",
" SINCE_FOUNDER\n\n [{'head': ['18', '",
" since_1995: {\n \"relation\": \"EMPLOYED_BY\",",
" SINCE_FOUNDER\n or\n HAS_BEEN_CE",
" [\"CEO\"]",
" SINCE_FOUNDER",
"[{\"label\": \"CEO\"}]\n\n[{'head': ['108',",
"FROM_YEARS_AGO_TO_VICE_PRESIDENT_OR_DIRECT",
" SINCE_YEAR:\n [{\"head\": [\"131\", \"",
"EDUCATION\n\nExplanation:\nThe text states that Chris has a degree in Account",
"[{\"head\": [\"69\", \"70\", \"DATE\", \"1995",
" PRESIDENT_AND_CEO",
" [\"ORGANIZATION_PART_OF\"]",
" SUBORDINATE_ORGANIZATION",
"[\"ORGANIZATION_PART_OF\"]",
"[{\"head\": [\"80\", \"82\", \"ORG\", \"Modulus Gu",
"[{\"label\": \"PRESIDENT_AND_CEO\"}]\n\nOr, if",
"[\"PREVIOUS_EMPLOYER\"]",
" PRESIDENT_AND_CEO_OF\n OR\n FOUNDED\n",
"[{\"head\": [\"80\", \"82\", \"ORG\", \"Modulus Gu",
"[{\"head\": \"Modulus Guitars\", \"relation\": \"HAS_FUNCTION\", \"",
"[\"PREVIOUS_EMPLOYER\"]",
" [\"MANUFACTURER_OF\"]",
"\"DURATION\"",
"EDUCATION\n\nExplanation:\nThe text states that Chris has a degree in Account",
"EDUCATION\n\nExplanation:\nThe text mentions that Chris has a degree in",
"[{\"label\": \"WORKED_FOR\"}]\n\nThis relation indicates that Christopher Hill worked",
"[{\"label\": \"EMPLOYED_BY\"}]\n\nThis relation indicates that Chris",
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[
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] | 209 |
211 | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["Carrissa + Evan were blessed with a 72 degree day in December in Charleston, South Carolina! They had their wedding at Dunes West and it was beautiful!\nAll Blog Posts\nHi, I'm Danielle. I am the owner of Danielle Dziedzic Photography estd in 2011. We are a South Carolina based photography and videography team giving you a whole wedding experience.\nDanielle Dziedzic Photography is a Greenville SC Wedding Photographer + Videographer also servicing Asheville, Charlotte + Charleston regions. Available for travel."]
Entities:
[{'head': ['0', '1', 'PERSON', 'Carrissa'], 'tail': ['2', '3', 'PERSON', 'Evan']}]
Relation:
[/INST]
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{
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{
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{
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{
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}
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[
{
"head": [
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}
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[
{
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{
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[
{
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"tail": [
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}
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[
{
"head": [
"88",
"89",
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"Charleston"
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"tail": [
"76",
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}
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[
{
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"GPE",
"Charleston"
],
"tail": [
"84",
"85",
"GPE",
"Asheville"
]
}
],
[
{
"head": [
"88",
"89",
"GPE",
"Charleston"
],
"tail": [
"86",
"87",
"GPE",
"Charlotte"
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}
]
] | [
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"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
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"Based on the context provided, the relation label between \"Danielle Dziedzic Photography",
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"\"ORGANIZATION_FOUNDED_BY\"",
"ESTABLISHED_IN",
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"SERVICES_IN\n\nExplanation:\nThe relation \"SERVICES\\_IN",
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"Based on the context provided, the relation between the entities is: SERVICES_IN.",
"Based on the context, the relation between the entities is:\n\n[BASED_IN]",
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] | 210 |
212 | [
"Jim and Greg end the week with all crazy martinis. First, they look into allegations that China-related donations to the University of Pennsylvania soared immediately after Joe Biden established the Biden Center there following his time as vice president. They also don’t buy the U.S. Secret Service concluding that it will never be able to determine who is responsible for the cocaine found at the White House. Finally, they dissect the decline in people visiting Disney theme parks this summer – and the explanation is actually pretty simple.\nPlease visit out great sponsors:\nUse code MARTINI to get 10% off your purchase."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Jim and Greg end the week with all crazy martinis. First, they look into allegations that China-related donations to the University of Pennsylvania soared immediately after Joe Biden established the Biden Center there following his time as vice president. They also don’t buy the U.S. Secret Service concluding that it will never be able to determine who is responsible for the cocaine found at the White House. Finally, they dissect the decline in people visiting Disney theme parks this summer – and the explanation is actually pretty simple.\nPlease visit out great sponsors:\nUse code MARTINI to get 10% off your purchase.']
Entities:
[{'head': ['0', '1', 'PERSON', 'Jim'], 'tail': ['2', '3', 'PERSON', 'Greg']}]
Relation:
[/INST]
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[
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[
{
"head": [
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[
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[
{
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{
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}
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{
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{
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] | [
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[
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[
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]
] | 211 |
213 | [
"“Look At Usual Things With Unusual Eyes”: Artist Creates Surreal Images By Combining Photos In Photoshop\nAccording to Lila Frenopoulou: “Hi! I’m Lila and I’m a professional photographer and digital artist from Athens, Greece.\nI combine my photos in Adobe Photoshop in order to make surreal scenes. I like to “look at usual things with unusual eyes”. Hope you like my art! For more images, check out my socials! You can find the links below.”"
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['“Look At Usual Things With Unusual Eyes”: Artist Creates Surreal Images By Combining Photos In Photoshop\nAccording to Lila Frenopoulou: “Hi! I’m Lila and I’m a professional photographer and digital artist from Athens, Greece.\nI combine my photos in Adobe Photoshop in order to make surreal scenes. I like to “look at usual things with unusual eyes”. Hope you like my art! For more images, check out my socials! You can find the links below.”']
Entities:
[{'head': ['1', '8', 'WORK_OF_ART', 'Look At Usual Things With Unusual Eyes'], 'tail': ['22', '24', 'PERSON', 'Lila Frenopoulou']}]
Relation:
[/INST]
| [
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{
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"tail": [
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}
]
] | [
"CREATOR_OF\n\nExplanation:\nThe text mentions that Lila Fren",
"CREATOR_OF\n\nExplanation:\nThe text mentions that Lila is a",
"ORIGIN_PLACE\n\nExplanation:\nThe text mentions that Lila",
"ORIGIN_PLACE_OF_ARTIST",
"\"CREATED_WITH\"\n\nExplanation:\nThe text mentions that Lila",
"\"USES\":\n[{'head': [\"18\", \"19\", \"PRODUCT",
"USES\n\nExplanation:\nIn the context provided, Lila is a person who",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the product \"",
"\"LOCATION_OF_ORIGIN\"",
"[\" SOFTWARE_PRODUCT_MANUFACTURER\"]",
"CREATED_BY",
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"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"\"CITY_OF_RESIDENCE\"",
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"CREATED_BY",
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"[\"IS_NAME_OF\"]",
"\"FROM_LOCATION:BIRTH_PLACE\"",
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"USES\n\n[Explanation: Lila uses Photoshop to create her art.",
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"\"LOCATED_IN\"",
"[{\"head\": \"Athens\", \"tail\": \"Greece\", \"label\": \"",
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] | [
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[
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]
] | 212 |
214 | [
"Assemblage Top in Light Beige\nIssey Miyake Assemblage Top in Light Beige\nThe Assemblage Top has long sleeves and a cropped silhouette. It features a varied pleated outer creating three-dimensional forms, and rib cuffs.\nMaterial: 73% Triacetate 23% Polyester 4% Nylon\nMade in Japan\nAbout Issey Miyake:\nJapanese design icon Issey Miyake has been a pioneer in the fashion industry since the launch of his namesake brand in 1971. Known for his groundbreaking pleating technique, Miyake blends traditional Japanese techniques with modern experimental technologies to continue to push the boundaries of the fashion avant-garde. The label is dedicated to innovation in design, from philosophy and inspiration to technical construction and engineering. Expect easy, sculptural silhouettes, Japanese modernism, bold patterns, and the brand's signature pleats."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["Assemblage Top in Light Beige\nIssey Miyake Assemblage Top in Light Beige\nThe Assemblage Top has long sleeves and a cropped silhouette. It features a varied pleated outer creating three-dimensional forms, and rib cuffs.\nMaterial: 73% Triacetate 23% Polyester 4% Nylon\nMade in Japan\nAbout Issey Miyake:\nJapanese design icon Issey Miyake has been a pioneer in the fashion industry since the launch of his namesake brand in 1971. Known for his groundbreaking pleating technique, Miyake blends traditional Japanese techniques with modern experimental technologies to continue to push the boundaries of the fashion avant-garde. The label is dedicated to innovation in design, from philosophy and inspiration to technical construction and engineering. Expect easy, sculptural silhouettes, Japanese modernism, bold patterns, and the brand's signature pleats."]
Entities:
[{'head': ['0', '2', 'PRODUCT', 'Assemblage Top'], 'tail': ['6', '8', 'PERSON', 'Issey Miyake']}]
Relation:
[/INST]
| [
[
{
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}
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[
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}
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}
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}
],
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{
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}
],
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[
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[
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]
] | 213 |
215 | [
"It wasn't the best growing season but the owner of a pumpkin patch at Oak Lake still hopes for a good fall.\nJudy Podobni is into her 4th Fall Festival at Meandher Creek Pumpkin Farm. She plants 8 to 12 acres of pumpkins, gourds and squash each year.\nPodobni started the patch a few years ago to add to their cattle farm's bottom line. She says the Agri-Tourism venture has been enjoyable."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["It wasn't the best growing season but the owner of a pumpkin patch at Oak Lake still hopes for a good fall.\nJudy Podobni is into her 4th Fall Festival at Meandher Creek Pumpkin Farm. She plants 8 to 12 acres of pumpkins, gourds and squash each year.\nPodobni started the patch a few years ago to add to their cattle farm's bottom line. She says the Agri-Tourism venture has been enjoyable."]
Entities:
[{'head': ['15', '17', 'FAC', 'Oak Lake'], 'tail': ['25', '27', 'PERSON', 'Judy Podobni']}]
Relation:
[/INST]
| [
[
{
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],
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{
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}
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{
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}
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}
]
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[
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[
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"a few years ago"
]
] | 214 |
216 | [
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['General photographs collection\nThe General Photograph collection includes photographs documenting the African American experience dating from 1928 to 1996.\nMore About This Collection\nDate of Original\nAtlanta University Center Robert W. Woodruff Library\nSearch ConstraintsYou searched for: Subject African Americans--Georgia--Atlanta Remove constraint Subject: African Americans--Georgia--Atlanta Subject African American universities and colleges Remove constraint Subject: African American universities and colleges Medium photographs Remove constraint Medium: photographs\nNo results found for your search\nTry modifying your search\n- Use fewer keywords to start, then refine your search using the links on the left.']
Entities:
[{'head': ['12', '14', 'NORP', 'African American'], 'tail': ['31', '34', 'ORG', 'Atlanta University Center']}]
Relation:
[/INST]
| [
[
{
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217 | [
"After playing the villain in Thor: Love and Thunder, we could very well see Christian Bale one day playing an entirely new character in the Marvel Cinematic Universe. While it’s somewhat rare for actors to play separate established characters in the MCU, it’s something that does happen. Given Bale’s abilities as a chameleon actor who completely disappears into his various roles, it wouldn’t be a stretch to see Bale taking on a different role at some point in the MCU’s future.\nChristian Bale, who starred as Gorr the God Butcher in Thor: Love and Thunder, says he would be open to returning to the MCU in a new role. Read More"
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['After playing the villain in Thor: Love and Thunder, we could very well see Christian Bale one day playing an entirely new character in the Marvel Cinematic Universe. While it’s somewhat rare for actors to play separate established characters in the MCU, it’s something that does happen. Given Bale’s abilities as a chameleon actor who completely disappears into his various roles, it wouldn’t be a stretch to see Bale taking on a different role at some point in the MCU’s future.\nChristian Bale, who starred as Gorr the God Butcher in Thor: Love and Thunder, says he would be open to returning to the MCU in a new role. Read More']
Entities:
[{'head': ['5', '10', 'WORK_OF_ART', 'Thor: Love and Thunder'], 'tail': ['16', '18', 'PERSON', 'Christian Bale']}]
Relation:
[/INST]
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}
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[
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}
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[
{
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}
],
[
{
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}
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[
{
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}
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[
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}
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[
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}
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[
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}
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}
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[
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}
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[
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}
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[
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}
],
[
{
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"96",
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"Christian Bale"
],
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"Thor: Love and Thunder"
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}
],
[
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}
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[
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],
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}
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[
{
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"96",
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"Christian Bale"
],
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}
],
[
{
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"96",
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}
],
[
{
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],
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}
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[
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],
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"90",
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"MCU"
]
}
],
[
{
"head": [
"94",
"96",
"PERSON",
"Christian Bale"
],
"tail": [
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"104",
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"Gorr the God Butcher"
]
}
],
[
{
"head": [
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],
"tail": [
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"Thor: Love and Thunder"
]
}
],
[
{
"head": [
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}
],
[
{
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}
],
[
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}
],
[
{
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}
],
[
{
"head": [
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"104",
"PERSON",
"Gorr the God Butcher"
],
"tail": [
"45",
"46",
"ORG",
"MCU"
]
}
],
[
{
"head": [
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"104",
"PERSON",
"Gorr the God Butcher"
],
"tail": [
"55",
"56",
"PERSON",
"Bale"
]
}
],
[
{
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"104",
"PERSON",
"Gorr the God Butcher"
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}
],
[
{
"head": [
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"104",
"PERSON",
"Gorr the God Butcher"
],
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"MCU"
]
}
],
[
{
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}
],
[
{
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}
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{
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}
],
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"Christian Bale"
]
}
],
[
{
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"Thor: Love and Thunder"
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}
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[
{
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]
}
],
[
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}
],
[
{
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}
],
[
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}
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]
}
],
[
{
"head": [
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"WORK_OF_ART",
"Thor: Love and Thunder"
],
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]
}
],
[
{
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"110",
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"Thor: Love and Thunder"
],
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]
}
],
[
{
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"MCU"
],
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]
}
],
[
{
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"MCU"
],
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"18",
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"Christian Bale"
]
}
],
[
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],
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}
],
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{
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],
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}
],
[
{
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"121",
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],
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"56",
"PERSON",
"Bale"
]
}
],
[
{
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"121",
"ORG",
"MCU"
],
"tail": [
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"79",
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"Bale"
]
}
],
[
{
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"ORG",
"MCU"
],
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]
}
],
[
{
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"MCU"
],
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"96",
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"Christian Bale"
]
}
],
[
{
"head": [
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"121",
"ORG",
"MCU"
],
"tail": [
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]
}
],
[
{
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"MCU"
],
"tail": [
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"110",
"WORK_OF_ART",
"Thor: Love and Thunder"
]
}
]
] | [
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"ACTOR_OF_ORGANIZATION\n\nOr, if using the entity labels from",
"[{\"head\": \"Christian Bale\", \"tail\": \"Bale\", \"relation\":",
"[{\"head\": \"Christian Bale\", \"tail\": \"Bale\", \"relation\":",
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"PLAYED_CHARACTER",
"[{\"head\": \"Christian Bale\", \"tail\": \"Thor: Love and Th",
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"SET_IN_WORK_OF_ART\n\nOr, if you prefer a more standardized",
"[\"PART_OF\"]\n\nExplanation:\nThe text states that \"we could very",
"[{\"head\": \"the Marvel Cinematic Universe\", \"tail\": \"MCU\", \"",
"[\"PART_OF\"]\n\nExplanation:\nIn the context provided, \"the Marvel",
"[\"PART_OF\"]\n\nExplanation:\nIn the context provided, \"the Marvel",
"[{\"relation\": \"IDENTICAL_TO\"}]\n\n# Explanation:\n#",
"[\"PART_OF\"]\n\nExplanation:\nThe text states that \"we could very",
"[{\"relation\": \"APPEARS_IN\"}]",
"[{\"head\": \"the Marvel Cinematic Universe\", \"relation\": \"PREVIOUS",
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"[{\"head\": \"MCU\", \"relation\": \"PRODUCED\", \"tail\":",
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"SUBJECT_OF: MCU\nOBJECT: the Marvel Cininatic Universe",
"belongs_to\nor:\nis_associated_with",
"Belongs_To\n\nExplanation:\nThe text states that Christian Bale, who",
"PART_OF\n\nExplanation:\nThe text mentions that Christian Bale, who",
"[\"MCU\", \"PRODUCES_OR_CASTS\", \"Christian Bale",
"[{\"relation\": \"ACTOR_IN\"}]\n\nThis relation indicates that Christian Bale",
"[{\"head\": \"MCU\", \"relation\": \"PRODUCED\", \"tail\":",
"PART_OF\n\nExplanation:\nIn the context provided, MCU (Marvel",
"[{\"head\": \"Bale\", \"relation\": \"starred_in\", \"tail\":",
"[{\"relation\": \"SELF\"}]\n\nOr, since the text mentions \"d",
"[\"HAS_AFFILIATION\"]\n\nExplanation:\nThe text states that",
"ACTOR_IN_ORG\nor\nAPPEARED_IN\n(Note:",
"[\"PREVIOUS_ROLE_SAME_ENTITY\"]\n\nExplanation",
"ACTOR_OF_ORGANIZATION\n\nThis relation indicates that Christian Bale is",
"[{\"relation\": \"SELF\"}]\n\nOr, if you consider the context, you",
"[{\"relation\": \"PLAYED_CHARACTER_IN_MOVIE\"}]",
"[{\"head\": \"Bale\", \"relation\": \"starred_in\", \"tail\":",
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"[{\"head\": \"Bale\", \"relation\": \"starred_in\", \"tail\":",
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"ACTOR_OF_ORGANIZATION\nor\nAPPEARS_IN\n",
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"[{\"head\": \"MCU\", \"relation\": \"PRODUCED\", \"tail\":",
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"PART_OF\n\nExplanation:\nIn this context, MCU (Marvel Cin",
"[{\"relation\": \"ACTOR_IN\"}]\n\nThis relation indicates that the organization (",
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"[{\"head\": \"94, 96, PERSON, Christian Bale\", \"",
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"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
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"[\"APPEARS_IN\"]\n\nExplanation:\nThe text states that \"",
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"PART_OF\n\nExplanation:\nIn the context provided, the text states that \"",
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"[{\"head\": \"MCU\", \"relation\": \"PRODUCED\", \"tail\":"
] | [
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[
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[
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[
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[
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[
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[
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[
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[
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],
[
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],
[
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"MCU"
]
] | 216 |
218 | [
"About Egg Press\nEGG PRESS was founded by illustrator and weaver TESS DARROW in Portland, Oregon. Egg Press came from a love of analog printmaking and a belief that letter writing is a valuable practice that keeps people connected. Twenty - four years later, it’s still bringing the best of humor and cheek to greeting cards!\nFollow Tess on Instagram @eggpress"
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['About Egg Press\nEGG PRESS was founded by illustrator and weaver TESS DARROW in Portland, Oregon. Egg Press came from a love of analog printmaking and a belief that letter writing is a valuable practice that keeps people connected. Twenty - four years later, it’s still bringing the best of humor and cheek to greeting cards!\nFollow Tess on Instagram @eggpress']
Entities:
[{'head': ['1', '3', 'ORG', 'Egg Press'], 'tail': ['4', '6', 'ORG', 'EGG PRESS']}]
Relation:
[/INST]
| [
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{
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]
}
],
[
{
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],
"tail": [
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]
}
],
[
{
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],
"tail": [
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]
}
],
[
{
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}
],
[
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}
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[
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"tail": [
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]
}
],
[
{
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}
],
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],
"tail": [
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]
}
],
[
{
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],
"tail": [
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[
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[
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"70",
"PERSON",
"Elizabeth"
],
[
"71",
"72",
"ORG",
"Substack"
]
] | 218 |
220 | [
"Here go the Marxist Inverters\nLet's pivot & blame the dangerous, useless shot on Orange Man\nI’m fucking done with these people.\nMore PSY-OP, to keep everyone off balance and keep Trump out of the White House: jdrucker.substack.com/p/as-predicted… Wouldn't want anything to get in the way of the next globalist assault on our health and our rights, now...would we? h/t"
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["Here go the Marxist Inverters\nLet's pivot & blame the dangerous, useless shot on Orange Man\nI’m fucking done with these people.\nMore PSY-OP, to keep everyone off balance and keep Trump out of the White House: jdrucker.substack.com/p/as-predicted… Wouldn't want anything to get in the way of the next globalist assault on our health and our rights, now...would we? h/t"]
Entities:
[{'head': ['3', '4', 'NORP', 'Marxist'], 'tail': ['41', '42', 'PERSON', 'Trump']}]
Relation:
[/INST]
| [
[
{
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"42",
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"Trump"
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}
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[
{
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}
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[
{
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[
{
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"the White House"
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"tail": [
"41",
"42",
"PERSON",
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}
]
] | [
"BLAME\n\nExplanation:\nThe text implies that the Marxist group is blaming",
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"KEEP_OUT_OF_ORGANIZATION",
"KEEP_OUT\n\nExplanation:\nThe context suggests that the entities are involved in"
] | [
[
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"Marxist"
],
[
"41",
"42",
"PERSON",
"Trump"
],
[
"44",
"47",
"FAC",
"the White House"
]
] | 219 |
221 | [
"Apr 15, 2021\nAndrew Searle from IO Industries discusses the importance of camera technology in a direct relationship with the capabilities of volumetric capture within virtual and augmented reality. Over the past 30 years, IO industries have innovated the use of specialty sensors within cameras to empower and advance the immersive technology industry.\nVisit the VR/AR Association at www.TheVRARA.com for more information about how you can get involved with this worldwide organization to help gain exposure and share ideas and best practices with other experts in the industry.\nSubscribe to the podcast wherever podcasts are found or listen to past interviews at www.TheVRARA.com/podcast"
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Apr 15, 2021\nAndrew Searle from IO Industries discusses the importance of camera technology in a direct relationship with the capabilities of volumetric capture within virtual and augmented reality. Over the past 30 years, IO industries have innovated the use of specialty sensors within cameras to empower and advance the immersive technology industry.\nVisit the VR/AR Association at www.TheVRARA.com for more information about how you can get involved with this worldwide organization to help gain exposure and share ideas and best practices with other experts in the industry.\nSubscribe to the podcast wherever podcasts are found or listen to past interviews at www.TheVRARA.com/podcast']
Entities:
[{'head': ['0', '4', 'DATE', 'Apr 15, 2021'], 'tail': ['5', '7', 'PERSON', 'Andrew Searle']}]
Relation:
[/INST]
| [
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[
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{
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] | [
"DISCUES",
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"[\"ORG_NAME_ALIAS\"]\n\nExplanation:\nThe text ment",
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"[\"ORGANIZATION_MEMBER\"]",
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"\"PREPOSITIONAL_PHRASE_MODIFIER\"\n\nExplanation:",
"[\"MEMBER_OF\"]\n\nExplanation:\nIn the context provided, \"IO"
] | [
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[
"60",
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"the VR/AR Association"
]
] | 220 |
222 | [
"Founder and CEO\nElaine is an entrepreneur who thrives on creating brands, building businesses, and helping others—be they animals or humans. A native Oklahoman with an Economics degree from Tufts University, she started out in the real estate business, then spent 21 years in the wine business helping grow a small family project into a nationally recognized wine brand. In 2004, Elaine developed Wine Women & Shoes as a local community fundraiser that doubled as a marketing opportunity for Napa Valley wines—a “pairing” that proved to be so successful, she grew it into a national nonprofit events company. Honored as an Outstanding Woman in Agriculture, Elaine remains an active participant in her Napa Valley community. She’s served on the boards of several agricultural organizations, a land trust, and a center for contemporary art."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Founder and CEO\nElaine is an entrepreneur who thrives on creating brands, building businesses, and helping others—be they animals or humans. A native Oklahoman with an Economics degree from Tufts University, she started out in the real estate business, then spent 21 years in the wine business helping grow a small family project into a nationally recognized wine brand. In 2004, Elaine developed Wine Women & Shoes as a local community fundraiser that doubled as a marketing opportunity for Napa Valley wines—a “pairing” that proved to be so successful, she grew it into a national nonprofit events company. Honored as an Outstanding Woman in Agriculture, Elaine remains an active participant in her Napa Valley community. She’s served on the boards of several agricultural organizations, a land trust, and a center for contemporary art.']
Entities:
[{'head': ['4', '5', 'PERSON', 'Elaine'], 'tail': ['29', '30', 'NORP', 'Oklahoman']}]
Relation:
[/INST]
| [
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{
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] | [
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224 | [
"Strikes and lockouts--Cotton manufacture--Georgia--Atlanta--History.\nSubject Source: Library of Congress Subject Headings\nFound in 1 Collection or Record:\nOverview Founded in Atlanta during the late 1860s, the Fulton Bag and Cotton Mills operated under the management of Jacob Elsas and his descendants for more than a century. The processed portion of this collection, which is divided into four series, documents the business activities and concerns of management and workers in the Atlanta mill during the early twentieth century. Materials relating specifically to the 1914-1915 strike in Atlanta include the correspondence of Oscar Elsas, transcripts of...\nDates: Majority of material found within Bulk, 1881-1956; 1872-1994 (bulk 1881-1956)"
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Strikes and lockouts--Cotton manufacture--Georgia--Atlanta--History.\nSubject Source: Library of Congress Subject Headings\nFound in 1 Collection or Record:\nOverview Founded in Atlanta during the late 1860s, the Fulton Bag and Cotton Mills operated under the management of Jacob Elsas and his descendants for more than a century. The processed portion of this collection, which is divided into four series, documents the business activities and concerns of management and workers in the Atlanta mill during the early twentieth century. Materials relating specifically to the 1914-1915 strike in Atlanta include the correspondence of Oscar Elsas, transcripts of...\nDates: Majority of material found within Bulk, 1881-1956; 1872-1994 (bulk 1881-1956)']
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[/INST]
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"40",
"46",
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"the Fulton Bag and Cotton Mills"
]
}
],
[
{
"head": [
"131",
"132",
"DATE",
"1872"
],
"tail": [
"51",
"53",
"PERSON",
"Jacob Elsas"
]
}
],
[
{
"head": [
"131",
"132",
"DATE",
"1872"
],
"tail": [
"88",
"89",
"GPE",
"Atlanta"
]
}
],
[
{
"head": [
"131",
"132",
"DATE",
"1872"
],
"tail": [
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"107",
"GPE",
"Atlanta"
]
}
],
[
{
"head": [
"131",
"132",
"DATE",
"1872"
],
"tail": [
"111",
"113",
"PERSON",
"Oscar Elsas"
]
}
],
[
{
"head": [
"136",
"139",
"DATE",
"1881-1956"
],
"tail": [
"7",
"8",
"GPE",
"Georgia"
]
}
],
[
{
"head": [
"136",
"139",
"DATE",
"1881-1956"
],
"tail": [
"9",
"10",
"GPE",
"Atlanta"
]
}
],
[
{
"head": [
"136",
"139",
"DATE",
"1881-1956"
],
"tail": [
"34",
"35",
"GPE",
"Atlanta"
]
}
],
[
{
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"136",
"139",
"DATE",
"1881-1956"
],
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]
}
],
[
{
"head": [
"136",
"139",
"DATE",
"1881-1956"
],
"tail": [
"51",
"53",
"PERSON",
"Jacob Elsas"
]
}
],
[
{
"head": [
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"139",
"DATE",
"1881-1956"
],
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"89",
"GPE",
"Atlanta"
]
}
],
[
{
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"139",
"DATE",
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],
"tail": [
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"GPE",
"Atlanta"
]
}
],
[
{
"head": [
"136",
"139",
"DATE",
"1881-1956"
],
"tail": [
"111",
"113",
"PERSON",
"Oscar Elsas"
]
}
]
] | [
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"LOCATION_IN\n\nExplanation:\nThe text mentions that the Fulton",
"LOCATION_IN_REGION",
"[{\"head\": \"Georgia\", \"tail\": \"the late 1860",
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"[{\"label\": \"LOCATED_IN\"}]\n\nThis relation indicates that Jacob Elsas",
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"LOCATION_IN_TIME\n\nExplanation:\nThe text mentions that the F",
"[{\"relation\": \"OCCURRED_IN\"}]",
"LOCATION_IN_REGION",
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"LOCATION_OF_EVENT\n\nExplanation:\nThe text mentions that the F",
"LOCATION_IN_TIME\n\nExplanation:\nThe text mentions that the F",
"[{\"relation\": \"PRESENT_IN\"}]\n\nThis relation indicates that the entity",
"LOCATION_IN_TIME\n\n[Explanation: The relation between 'Georgia",
" PART_OF\n\n Explanation:\n The text mentions that Atlanta is located in Georgia",
"LOCATION_OF_EVENT\n\nExplanation:\nThe text mentions that the F",
"LOCATION_NEARBY",
"Founded_During\n\n[Explanation: The relation \"Founded\\_During",
"LOCATED_IN",
"[{\"label\": \"FOUNDER_OF\"}]",
"OPERATED_DURING_PERIOD",
"[{\"relation\": \"HAS_PROPERTY\", \"relation_label\": \"has_property\"}]",
"LOCATION_NEARBY",
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"[\"OCCURRED_IN\"]",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes the Fulton",
"[{\"relation\": \"CORRESPONDED_WITH\"}]",
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"START_DATE_OF_PERIOD\n\n[For the given text and entities, the",
"[{\"relation\": \"PREEXISTED_BEFORE\"}]\n\nThis relation indicates that",
"START_DATE_OF_PERIOD\n\n[For the given context and entities, the",
"LOCATION_IN\n\nExplanation:\nThe text mentions that the Fulton",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the Fulton",
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"LOCATION_OF\n\nExplanation:\nThe text mentions that the Fulton",
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"[{\"relation\": \"OCCURRED_IN\"}]",
"[{\"relation\": \"LOCATION_NEARBY\"}]\n\nExplanation:\n",
"[{\"relation\": \"CORRESPONDED_WITH\"}]",
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"START_DATE_OF_PERIOD\n\n[For the given text and entities, the",
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"Founded_in",
" foundation_year\n\n[{'head': ['34', '35', 'GPE",
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"\"FOUNDED_DURING\"",
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"[{\"label\": \"LOCATED_IN\"}]\n\nThis relation indicates that the person \"",
" OWNED_BY",
"[{\"label\": \"LOCATED_IN\"}]\n\nThis relation indicates that Jacob Elsas",
"STARTED_IN_YEARS\n\n[Explanation: The relation \"STARTED",
"[{\"label\": \"OWNER_OF\"}]",
"\"DURATION_OF_EVENT_FOR_ENTITY\"\n\nor\n\n\"",
"[\"MANAGED_BY\"]",
"[{\"label\": \"LOCATED_IN\"}]\n\nThis relation indicates that \"Jac",
"OPERATED_IN_TIME_PERIOD",
"[{\"relation\": \"STARTED_DATE_OF\"}]\n\nThis relation indicates that Jacob",
"[{\"label\": \"LOCATED_IN\"}]\n\nThis relation indicates that Jacob Elsas",
"[{\"relation\": \"CHILD_OF\"}]\n\nExplanation:\nThe text",
"NO_RELATION.\n\nThe text mentions that Jacob Elsas managed the Fulton",
"\"STARTED_DATE\"",
"[{\"label\": \"PREDATED_BY\"}]\n\nThis relation indicates that Jacob Els",
"\"STARTED_DATE\"",
"LOCATION_IN_TERRITORY\n\nOr, since the entities are represented as lists",
"LOCATION_OF_EVENT\n\nExplanation:\nThe text mentions that the F",
"LOCATION_OF_EVENT\n\nExplanation:\nThe text mentions that the F",
"OPERATED_BY",
"[{\"label\": \"EMPLOYED_BY\"}]\n\nThis relation indicates that Jacob",
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"LOCATION_OF_EVENT\n\nExplanation:\nThe text mentions that the F",
"[{\"label\": \"CORRESPONDED_WITH\"}]",
"LOCATION_IN\n\nExplanation:\nThe text mentions that the Fulton",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the Atlanta mill",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Atlanta is the",
"OPERATED_BY",
" [\"MANAGED_BY\"]",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the head entity",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the head entity",
"[{\"relation\": \"CORRESPONDED_WITH\"}]",
"LOCATION_IN_REGION",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes the Fulton",
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"\"START_DATE\"",
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"[{\"label\": \"FOUNDER_OF\"}]",
"\"DURATION\"",
"[\"HAS_PROPERTY\", \"city\", \"four series\"]\n\n# Explanation:\n",
"\"TIME_PERIOD_OF_EVENT\"",
"[{\"relation\": \"OCCURRED_IN\"}]",
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"[{\"relation\": \"CORRESPONDED_WITH\"}]",
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"LOCATION_DURING_TIMEPERIOD",
"LOCATION_DURING_TIMEPERIOD",
"OPERATED_DURING",
"[{\"label\": \"WORKED_FOR\"}]\n\nThis relation indicates that Jacob Elsas",
"LOCATION_DURING_TIMEPERIOD",
"LOCATION_IN_TIME\n\nExplanation:\nThe text mentions that the materials",
"[{\"label\": \"CORRESPONDED_WITH\"}]",
"LOCATION_OF_EVENT",
"[{\"relation\": \"OCCURRED_IN\"}]",
"[{\"relation\": \"OCCURRED_IN\"}]",
"[{\"relation\": \"STRIKE_OF_ORGANIZATION\"}]",
"[{\"label\": \"MANAGED_BY\"}]\n\nThis relation indicates that Jacob Els",
"[{\"relation\": \"OCCURRED_IN\"}]",
"[{\"relation\": \"OCCURRED_IN\"}]",
"[{\"relation\": \"CORRESPONDED_WITH\"}]",
"LOCATION_IN_REGION",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes the Fulton",
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"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Atlanta is located",
"\"FOUNDED_IN\"",
"LOCATED_IN",
"[{\"label\": \"MANAGED_BY\"}]",
"\"DURATION\"",
"[\"PART_OF\"]\n\nExplanation:\nThe text mentions that \"The processed",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Atlanta is located",
"\"TIME_PERIOD_OF_EVENT\"",
" [\"STRIKE\", \"101\", \"104\", \"1914",
"[{\"label\": \"CORRESPONDENCE_WITH\"}]",
"LOCATION_OF_BULK\n\nExplanation:\nThe text mentions that",
"START_DATE_OF_PERIOD\n\nExplanation:\nThe relation between the",
"[{\"relation\": \"PRESSED_IN_DATE\"}]\n\nThis relation indicates that",
"START_DATE_OF_PERIOD\n\nExplanation:\nThe relation between the",
"LOCATION_OF_EVENT\n\nExplanation:\nThe text mentions that there is",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the person \"",
"[{\"relation\": \"CORRESPONDED_WITH\"}]\n\nThis relation indicates",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the person \"",
"STARTED_DURING",
"MANAGED_BY",
"[{\"relation\": \"DESCENDANT_OF\"}]",
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"[{\"relation\": \"GENERATED_EVENT_PARTICIPANT_ROLE_WITH_",
"[{\"label\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"Occurred_During",
"[{\"relation\": \"PART_OF_EVENT\"}]\n\nThis relation indicates that Oscar Els",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the person \"",
"[{\"relation\": \"CORRESPONDS_WITH\"}]\n\nThis relation indicates",
"\"PERIOD_OF_TIME_FOR_PERSON\"\nor\n\"DATE_",
"[{\"relation\": \"PRECEDES\"}]\n\nThis relation indicates that the date '",
"\"PERIOD_OF_TIME_FOR_PERSON\"\nor\n\"DATE_",
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"LOCATION_OF_BULK_PRODUCTION",
"LOCATION_OF_BULK_PRODUCTION",
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"[{\"relation\": \"MANUFACTURED_BY\"}]\n\nThis relation indicates",
"LOCATION_OF_BULK_PRODUCTION",
"LOCATION_OF_BULK_PRODUCTION",
"[{\"relation\": \"CORRESPONDED_WITH\"}]\n\nThis relation indicates",
"LOCATION_IN\n\nExplanation:\nThe text mentions that the Fulton",
"LOCATION_IN_TIME\n\nExplanation:\nThe text mentions that the majority",
"LOCATION_IN_TIME\n\nExplanation:\nThe text mentions that the majority",
"OPERATED_DURING_PERIOD",
"[{\"label\": \"STARTED_BY\"}]\n\nThis relation indicates that the entity with",
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"LOCATION_IN_TIME\n\nExplanation:\nThe text mentions that the majority",
"[{\"label\": \"CORRESPONDED_WITH\"}]",
"LOCATION_PRESENCE",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the location \"",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the location \"",
"[{\"start\": 0, \"end\": 5, \"label\": \"FOUNDED",
"[{\"label\": \"FOUNDED_BY\"}]",
"[{\"label\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the location \"",
"[{\"relation\": \"CORRESPONDED_WITH\"}]",
"LOCATION_IN_TERRITORY",
"LOCATION_IN_TIME\n\nExplanation:\nThe text mentions that the majority",
"LOCATION_IN_TIME\n\nExplanation:\nThe text mentions that the majority",
"OPERATED_DURING_PERIOD",
"[{\"label\": \"STARTED_BY\"}]\n\nThis relation indicates that the entity with",
"LOCATION_IN_TIME\n\nExplanation:\nThe text mentions that the majority",
"LOCATION_IN_TIME\n\nExplanation:\nThe text mentions that the bulk",
"[{\"label\": \"CORRESPONDED_WITH\"}]"
] | [
[
"7",
"8",
"GPE",
"Georgia"
],
[
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],
[
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[
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[
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[
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[
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[
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[
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[
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],
[
"91",
"95",
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],
[
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],
[
"106",
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[
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],
[
"125",
"126",
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"Bulk"
],
[
"127",
"130",
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],
[
"131",
"132",
"DATE",
"1872"
],
[
"136",
"139",
"DATE",
"1881-1956"
]
] | 223 |
225 | [
"Perspectives from the Field: Dr. Mark CourtneyChild Abuse & Neglect\nMark Courtney is a Professor in the School of Social Service Administration at the University of Chicago. Courtney and University of Chicago colleague Amy Dworsky led the Midwest Evaluation of the Adult Functioning of Former Foster Youth, widely cited as an authoritative assessment of the adult functioning of former foster children. SPARC interviewed Professor Courtney during March, 2014, focusing on applications of the Midwest Study’s findings for child welfare advocates.\n“Even if we don’t always succeed with these interventions in preventing placement, which we’d all like to do, by engaging families in this way from the beginning, we lay the groundwork for helping these young people manage these relationships after aging out.” — Professor Mark Courtney"
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Perspectives from the Field: Dr. Mark CourtneyChild Abuse & Neglect\nMark Courtney is a Professor in the School of Social Service Administration at the University of Chicago. Courtney and University of Chicago colleague Amy Dworsky led the Midwest Evaluation of the Adult Functioning of Former Foster Youth, widely cited as an authoritative assessment of the adult functioning of former foster children. SPARC interviewed Professor Courtney during March, 2014, focusing on applications of the Midwest Study’s findings for child welfare advocates.\n“Even if we don’t always succeed with these interventions in preventing placement, which we’d all like to do, by engaging families in this way from the beginning, we lay the groundwork for helping these young people manage these relationships after aging out.” — Professor Mark Courtney']
Entities:
[{'head': ['6', '8', 'PERSON', 'Mark CourtneyChild'], 'tail': ['12', '14', 'PERSON', 'Mark Courtney']}]
Relation:
[/INST]
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[
{
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}
],
[
{
"head": [
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"PERSON",
"Mark CourtneyChild"
],
"tail": [
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]
}
],
[
{
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}
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[
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}
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}
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[
{
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}
],
[
{
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],
"tail": [
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}
],
[
{
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"tail": [
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}
],
[
{
"head": [
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}
],
[
{
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"tail": [
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}
],
[
{
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}
],
[
{
"head": [
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}
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[
{
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}
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[
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[
{
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}
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[
{
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],
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"Courtney"
]
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] | 224 |
226 | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Gateway Online is an online offer giving opportunity of walking the Way of Truth with online teaching of Aisha Salem. Signing up for Gateway Online is possible with a subscription. Read below.\nThe subscription of 20 EUR/month, gives access to monthly online events with Aisha, online enquiry in Teaching Hall, 10% discount on Online retreats and more. Read all benefits below.\nIn case of technical questions please contact email@example.com.']
Entities:
[{'head': ['0', '2', 'ORG', 'Gateway Online'], 'tail': ['18', '20', 'PERSON', 'Aisha Salem']}]
Relation:
[/INST]
| [
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{
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}
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],
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228 | [
"Alma is a PhD student at UCL’s Institute for Global Health. Her research focuses on mental health activism in Uganda. She applies a critical lens to understand people’s experiences of a hostile status quo, as well as how they envision and navigate change towards (mental) health-enabling environments. Her work is firmly rooted in the importance of listening to, and learning from, the stories of those who are typically marginalised in global health spaces. She holds a BSc and MSc from the London School of Economics (LSE) and an MA from Leiden University."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Alma is a PhD student at UCL’s Institute for Global Health. Her research focuses on mental health activism in Uganda. She applies a critical lens to understand people’s experiences of a hostile status quo, as well as how they envision and navigate change towards (mental) health-enabling environments. Her work is firmly rooted in the importance of listening to, and learning from, the stories of those who are typically marginalised in global health spaces. She holds a BSc and MSc from the London School of Economics (LSE) and an MA from Leiden University.']
Entities:
[{'head': ['0', '1', 'PERSON', 'Alma'], 'tail': ['6', '7', 'ORG', 'UCL']}]
Relation:
[/INST]
| [
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{
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],
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}
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{
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}
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{
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{
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{
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{
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{
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[
{
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[
{
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[
{
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[
{
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]
] | [
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"[{\"relation\": \"PHD_STUDENT_OF\"}]\n\nThis relation indicates",
"\"RESEARCH_IN_Country\"\n\nThis relation indicates that Alma conducts research",
" NO_RELATION.\n\nEntities and relation labels should conform to the following format: [",
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"[{\"relation\": \"ALMA_ATTENDED_EDUCATION_AT_LSE",
"[\"EDUCATED_AT\"]",
" NO_RELATION.\n\nThe text describes Alma's background and her academic achievements",
"[{\"label\": \"EDUCATED_AT\"}]\n\nThis relation indicates that Alma",
"[{\"relation\": \"PHD_STUDENT_OF\"}]\n\nThis relation indicates",
"[\"PART_OF\"]",
"[\"RESEARCH_IN_Country\"]\n\nExplanation:\nThe text states that",
" [\"EDUCATION\"]\n\n Entities: \n [{'head': ['",
" \"EDUCATION\"",
" [\"ALUMNI_OF\"]",
" [\"ALUMNI_OF\"]",
" \"EDUCATION\"",
" [\"EDUCATED_AT\"]",
"[{\"relation\": \"PHD_STUDENT_OF\"}]\n\nThis relation indicates",
"[\"PART_OF\"]",
"[\"RESEARCH_IN_Country\"]",
" \"EDUCATION\"\n or\n \"ALMA_EDUCATION_IG",
" \"EDUCATION\"",
" [\"ALUMNI_OF\"]",
" [\"ALUMNI_OF\"]",
" \"EDUCATION\"\n or\n \"OBTAINED_DEGREE",
" [\"PREVIOUS_EDUCATION\"]",
"\"RESEARCH_IN_Country\"\n\nThis relation indicates that Alma conducts her",
"[{\"relation\": \"LOCATED_AT\"}]\n\nThis relation indicates that Uganda",
"[\"LOCATION_OF\", \"GPE\", \"Uganda\", \"ORG\", \"",
"[\"EDUCATION\"]\n\nExplanation:\nThe text states that Alma holds a",
" \"EDUCATION\"\n or\n \"OBTAINED_DEGREE",
" [\"ALMA_EDUCATION_LSE\"]\n\nExplanation:\nThe text",
" [\"ALUMNI_OF\"]",
"NO_RELATION.\n\nThe text describes Alma's research focus and academic background,",
" [\"EDUCATED_AT\"]",
"[{\"relation\": \"EDUCATED_AT\"}]\n\nEntities:\n[{'head",
" \"EDUCATED_AT\"",
" \"EDUCATION_AT\"",
" RESEARCH_TOPIC_IN_LOCATION",
"[{\"relation\": \"ALMA_HAS_DEGREE_FROM\", \"head\": \"",
" [\"EDUCATION\"]",
"[{\"relation\": \"ALMA_RECEIVED_DEGREE_FROM\", \"",
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" [\"EDUCATED_AT\"]",
"[\"EDUCATION_AT\"]",
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"EDUCATED_AT",
" \"EDUCATED_AT\"",
"[\"EDUCATED_AT\"]",
" [\"EDUCATED_AT\"]",
" [\"ALUMNI_OF\"]",
" [\"ALUMNI_OF\"]",
"[{\"relation\": \"EDUCATED_AT\"}]\n\nThis relation indicates that Alma",
" \"EDUCATION\"",
" EDUCATION\n [{'head': ['93', '98', '",
" [\"ALUMNI_OF\"]",
" \"EDUCATION\"",
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] | 229 |
231 | [
"I am very happy that Endeavour finally launched today at 6:03 AM. Unfortunately, after chasing the even for very long, I over slept this morning, and was not able to watch the even live – due to wake up too early two days ago.\nNow I am watching the post-launch press conference, and watch the launch again and again, but the replay does not have all the communication between the crew, and the base station, which I am most interested in.\nVery good. After trying for 6 times, they finally launched, and Chris should already be on the space – 200 miles+ above, and he is finally ready to do the spacewalk after years of training and waiting. Good luck!"
] | [
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"years",
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"training",
"and",
"waiting",
".",
"Good",
"luck",
"!"
]
] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['I am very happy that Endeavour finally launched today at 6:03 AM. Unfortunately, after chasing the even for very long, I over slept this morning, and was not able to watch the even live – due to wake up too early two days ago.\nNow I am watching the post-launch press conference, and watch the launch again and again, but the replay does not have all the communication between the crew, and the base station, which I am most interested in.\nVery good. After trying for 6 times, they finally launched, and Chris should already be on the space – 200 miles+ above, and he is finally ready to do the spacewalk after years of training and waiting. Good luck!']
Entities:
[{'head': ['5', '6', 'PRODUCT', 'Endeavour'], 'tail': ['109', '110', 'PERSON', 'Chris']}]
Relation:
[/INST]
| [
[
{
"head": [
"5",
"6",
"PRODUCT",
"Endeavour"
],
"tail": [
"109",
"110",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"8",
"9",
"DATE",
"today"
],
"tail": [
"109",
"110",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"10",
"12",
"TIME",
"6:03 AM"
],
"tail": [
"109",
"110",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"26",
"28",
"TIME",
"this morning"
],
"tail": [
"109",
"110",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"45",
"48",
"DATE",
"two days ago"
],
"tail": [
"109",
"110",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"101",
"102",
"CARDINAL",
"6"
],
"tail": [
"109",
"110",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"109",
"110",
"PERSON",
"Chris"
],
"tail": [
"5",
"6",
"PRODUCT",
"Endeavour"
]
}
],
[
{
"head": [
"109",
"110",
"PERSON",
"Chris"
],
"tail": [
"8",
"9",
"DATE",
"today"
]
}
],
[
{
"head": [
"109",
"110",
"PERSON",
"Chris"
],
"tail": [
"10",
"12",
"TIME",
"6:03 AM"
]
}
],
[
{
"head": [
"109",
"110",
"PERSON",
"Chris"
],
"tail": [
"26",
"28",
"TIME",
"this morning"
]
}
],
[
{
"head": [
"109",
"110",
"PERSON",
"Chris"
],
"tail": [
"45",
"48",
"DATE",
"two days ago"
]
}
],
[
{
"head": [
"109",
"110",
"PERSON",
"Chris"
],
"tail": [
"101",
"102",
"CARDINAL",
"6"
]
}
],
[
{
"head": [
"109",
"110",
"PERSON",
"Chris"
],
"tail": [
"117",
"120",
"QUANTITY",
"200 miles+ above"
]
}
],
[
{
"head": [
"109",
"110",
"PERSON",
"Chris"
],
"tail": [
"131",
"132",
"DATE",
"years"
]
}
],
[
{
"head": [
"117",
"120",
"QUANTITY",
"200 miles+ above"
],
"tail": [
"109",
"110",
"PERSON",
"Chris"
]
}
],
[
{
"head": [
"131",
"132",
"DATE",
"years"
],
"tail": [
"109",
"110",
"PERSON",
"Chris"
]
}
]
] | [
"[{\"relation\": \"FLY_ON\"}]\n\nExplanation:\nThe text",
"[{\"relation\": \"LAUNCHED_AT_TIME_OF\", \"head\": \"",
"[{\"label\": \"LAUNCHED_AT\", \"head\": \"6:03",
"[{\"label\": \"STARTED_BY\", \"head\": \"26, 28",
"[{\"label\": \"PRECEDED_BY\", \"head\": \"two days ago\", \"",
"[{\"relation\": \"PRECEDES\"}]\n\nExplanation:\nThe text",
"[{\"relation\": \"LAUNCHED_BY\"}]\n\nExplanation:\n",
"[{\"relation\": \"launched_on\"}]",
"[{\"relation\": \"STARTED_AT\"}]\n\nThis relation indicates that Chris started the",
"[{\"label\": \"PRECEDED_BY\", \"head\": \"Chris\", \"tail",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"LAUNCHED_AFTER_WAITED_FOR\", \"head",
"\"LOCATION_ABOVE\"",
"[{\"relation\": \"HAS_BEEN_TRAINING_FOR\"}]\n\nThis",
"[\"LOCATION_ABOVE\"]",
"[{\"relation\": \"STARTED_TRAINING_YEARS_AGO\"}]"
] | [
[
"5",
"6",
"PRODUCT",
"Endeavour"
],
[
"8",
"9",
"DATE",
"today"
],
[
"10",
"12",
"TIME",
"6:03 AM"
],
[
"26",
"28",
"TIME",
"this morning"
],
[
"45",
"48",
"DATE",
"two days ago"
],
[
"101",
"102",
"CARDINAL",
"6"
],
[
"109",
"110",
"PERSON",
"Chris"
],
[
"117",
"120",
"QUANTITY",
"200 miles+ above"
],
[
"131",
"132",
"DATE",
"years"
]
] | 230 |
232 | [
"Registered in England No. 03458520. The Hospice Lottery Partnership Ltd is licensed and regulated in Great Britain by The Gambling Commission (gamblingcommission.gov.uk) under account number 5060.\nPromoter: The Hospice Lottery Partnership Limited, 72-80 Akeman Street, Tring, Hertfordshire, HP23 6AF. T: 01442 891459. Responsible person: Belinda Ellis. If you or someone you know needs information or help with a gambling problem, please call us on 01442 891459 or you may wish to visit gambleaware.org"
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Registered in England No. 03458520. The Hospice Lottery Partnership Ltd is licensed and regulated in Great Britain by The Gambling Commission (gamblingcommission.gov.uk) under account number 5060.\nPromoter: The Hospice Lottery Partnership Limited, 72-80 Akeman Street, Tring, Hertfordshire, HP23 6AF. T: 01442 891459. Responsible person: Belinda Ellis. If you or someone you know needs information or help with a gambling problem, please call us on 01442 891459 or you may wish to visit gambleaware.org']
Entities:
[{'head': ['2', '3', 'GPE', 'England'], 'tail': ['5', '6', 'CARDINAL', '03458520']}]
Relation:
[/INST]
| [
[
{
"head": [
"2",
"3",
"GPE",
"England"
],
"tail": [
"5",
"6",
"CARDINAL",
"03458520"
]
}
],
[
{
"head": [
"2",
"3",
"GPE",
"England"
],
"tail": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
]
}
],
[
{
"head": [
"2",
"3",
"GPE",
"England"
],
"tail": [
"17",
"19",
"GPE",
"Great Britain"
]
}
],
[
{
"head": [
"2",
"3",
"GPE",
"England"
],
"tail": [
"20",
"23",
"ORG",
"The Gambling Commission"
]
}
],
[
{
"head": [
"2",
"3",
"GPE",
"England"
],
"tail": [
"29",
"30",
"CARDINAL",
"5060"
]
}
],
[
{
"head": [
"2",
"3",
"GPE",
"England"
],
"tail": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
]
}
],
[
{
"head": [
"2",
"3",
"GPE",
"England"
],
"tail": [
"40",
"41",
"CARDINAL",
"72"
]
}
],
[
{
"head": [
"2",
"3",
"GPE",
"England"
],
"tail": [
"46",
"47",
"GPE",
"Tring"
]
}
],
[
{
"head": [
"2",
"3",
"GPE",
"England"
],
"tail": [
"48",
"49",
"GPE",
"Hertfordshire"
]
}
],
[
{
"head": [
"2",
"3",
"GPE",
"England"
],
"tail": [
"50",
"52",
"CARDINAL",
"HP23 6AF"
]
}
],
[
{
"head": [
"2",
"3",
"GPE",
"England"
],
"tail": [
"55",
"57",
"CARDINAL",
"01442 891459"
]
}
],
[
{
"head": [
"2",
"3",
"GPE",
"England"
],
"tail": [
"61",
"63",
"PERSON",
"Belinda Ellis"
]
}
],
[
{
"head": [
"5",
"6",
"CARDINAL",
"03458520"
],
"tail": [
"2",
"3",
"GPE",
"England"
]
}
],
[
{
"head": [
"5",
"6",
"CARDINAL",
"03458520"
],
"tail": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
]
}
],
[
{
"head": [
"5",
"6",
"CARDINAL",
"03458520"
],
"tail": [
"17",
"19",
"GPE",
"Great Britain"
]
}
],
[
{
"head": [
"5",
"6",
"CARDINAL",
"03458520"
],
"tail": [
"20",
"23",
"ORG",
"The Gambling Commission"
]
}
],
[
{
"head": [
"5",
"6",
"CARDINAL",
"03458520"
],
"tail": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
]
}
],
[
{
"head": [
"5",
"6",
"CARDINAL",
"03458520"
],
"tail": [
"46",
"47",
"GPE",
"Tring"
]
}
],
[
{
"head": [
"5",
"6",
"CARDINAL",
"03458520"
],
"tail": [
"48",
"49",
"GPE",
"Hertfordshire"
]
}
],
[
{
"head": [
"5",
"6",
"CARDINAL",
"03458520"
],
"tail": [
"61",
"63",
"PERSON",
"Belinda Ellis"
]
}
],
[
{
"head": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
],
"tail": [
"2",
"3",
"GPE",
"England"
]
}
],
[
{
"head": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
],
"tail": [
"5",
"6",
"CARDINAL",
"03458520"
]
}
],
[
{
"head": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
],
"tail": [
"17",
"19",
"GPE",
"Great Britain"
]
}
],
[
{
"head": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
],
"tail": [
"20",
"23",
"ORG",
"The Gambling Commission"
]
}
],
[
{
"head": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
],
"tail": [
"29",
"30",
"CARDINAL",
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}
],
[
{
"head": [
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"The Hospice Lottery Partnership Ltd"
],
"tail": [
"34",
"39",
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}
],
[
{
"head": [
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"ORG",
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],
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]
}
],
[
{
"head": [
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"The Hospice Lottery Partnership Ltd"
],
"tail": [
"46",
"47",
"GPE",
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]
}
],
[
{
"head": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
],
"tail": [
"48",
"49",
"GPE",
"Hertfordshire"
]
}
],
[
{
"head": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
],
"tail": [
"50",
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"CARDINAL",
"HP23 6AF"
]
}
],
[
{
"head": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
],
"tail": [
"55",
"57",
"CARDINAL",
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]
}
],
[
{
"head": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
],
"tail": [
"61",
"63",
"PERSON",
"Belinda Ellis"
]
}
],
[
{
"head": [
"17",
"19",
"GPE",
"Great Britain"
],
"tail": [
"2",
"3",
"GPE",
"England"
]
}
],
[
{
"head": [
"17",
"19",
"GPE",
"Great Britain"
],
"tail": [
"5",
"6",
"CARDINAL",
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]
}
],
[
{
"head": [
"17",
"19",
"GPE",
"Great Britain"
],
"tail": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
]
}
],
[
{
"head": [
"17",
"19",
"GPE",
"Great Britain"
],
"tail": [
"20",
"23",
"ORG",
"The Gambling Commission"
]
}
],
[
{
"head": [
"17",
"19",
"GPE",
"Great Britain"
],
"tail": [
"29",
"30",
"CARDINAL",
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]
}
],
[
{
"head": [
"17",
"19",
"GPE",
"Great Britain"
],
"tail": [
"34",
"39",
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]
}
],
[
{
"head": [
"17",
"19",
"GPE",
"Great Britain"
],
"tail": [
"40",
"41",
"CARDINAL",
"72"
]
}
],
[
{
"head": [
"17",
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"Great Britain"
],
"tail": [
"46",
"47",
"GPE",
"Tring"
]
}
],
[
{
"head": [
"17",
"19",
"GPE",
"Great Britain"
],
"tail": [
"48",
"49",
"GPE",
"Hertfordshire"
]
}
],
[
{
"head": [
"17",
"19",
"GPE",
"Great Britain"
],
"tail": [
"50",
"52",
"CARDINAL",
"HP23 6AF"
]
}
],
[
{
"head": [
"17",
"19",
"GPE",
"Great Britain"
],
"tail": [
"55",
"57",
"CARDINAL",
"01442 891459"
]
}
],
[
{
"head": [
"17",
"19",
"GPE",
"Great Britain"
],
"tail": [
"61",
"63",
"PERSON",
"Belinda Ellis"
]
}
],
[
{
"head": [
"20",
"23",
"ORG",
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],
"tail": [
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]
}
],
[
{
"head": [
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"23",
"ORG",
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],
"tail": [
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}
],
[
{
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],
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]
}
],
[
{
"head": [
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"23",
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],
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]
}
],
[
{
"head": [
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],
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"CARDINAL",
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]
}
],
[
{
"head": [
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"The Gambling Commission"
],
"tail": [
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"39",
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]
}
],
[
{
"head": [
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],
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]
}
],
[
{
"head": [
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],
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"46",
"47",
"GPE",
"Tring"
]
}
],
[
{
"head": [
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"23",
"ORG",
"The Gambling Commission"
],
"tail": [
"48",
"49",
"GPE",
"Hertfordshire"
]
}
],
[
{
"head": [
"20",
"23",
"ORG",
"The Gambling Commission"
],
"tail": [
"50",
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"CARDINAL",
"HP23 6AF"
]
}
],
[
{
"head": [
"20",
"23",
"ORG",
"The Gambling Commission"
],
"tail": [
"55",
"57",
"CARDINAL",
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]
}
],
[
{
"head": [
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"ORG",
"The Gambling Commission"
],
"tail": [
"61",
"63",
"PERSON",
"Belinda Ellis"
]
}
],
[
{
"head": [
"29",
"30",
"CARDINAL",
"5060"
],
"tail": [
"2",
"3",
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]
}
],
[
{
"head": [
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"30",
"CARDINAL",
"5060"
],
"tail": [
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]
}
],
[
{
"head": [
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"30",
"CARDINAL",
"5060"
],
"tail": [
"17",
"19",
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]
}
],
[
{
"head": [
"29",
"30",
"CARDINAL",
"5060"
],
"tail": [
"20",
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}
],
[
{
"head": [
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]
}
],
[
{
"head": [
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"30",
"CARDINAL",
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],
"tail": [
"46",
"47",
"GPE",
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]
}
],
[
{
"head": [
"29",
"30",
"CARDINAL",
"5060"
],
"tail": [
"48",
"49",
"GPE",
"Hertfordshire"
]
}
],
[
{
"head": [
"29",
"30",
"CARDINAL",
"5060"
],
"tail": [
"61",
"63",
"PERSON",
"Belinda Ellis"
]
}
],
[
{
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"34",
"39",
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"The Hospice Lottery Partnership Limited"
],
"tail": [
"2",
"3",
"GPE",
"England"
]
}
],
[
{
"head": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
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"tail": [
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"6",
"CARDINAL",
"03458520"
]
}
],
[
{
"head": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
],
"tail": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
]
}
],
[
{
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"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
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"tail": [
"17",
"19",
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"Great Britain"
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}
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[
{
"head": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
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"tail": [
"20",
"23",
"ORG",
"The Gambling Commission"
]
}
],
[
{
"head": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
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"tail": [
"29",
"30",
"CARDINAL",
"5060"
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}
],
[
{
"head": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
],
"tail": [
"40",
"41",
"CARDINAL",
"72"
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}
],
[
{
"head": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
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"tail": [
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"47",
"GPE",
"Tring"
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}
],
[
{
"head": [
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"39",
"ORG",
"The Hospice Lottery Partnership Limited"
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"tail": [
"48",
"49",
"GPE",
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}
],
[
{
"head": [
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"39",
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"The Hospice Lottery Partnership Limited"
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}
],
[
{
"head": [
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"tail": [
"55",
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"01442 891459"
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}
],
[
{
"head": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
],
"tail": [
"61",
"63",
"PERSON",
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}
],
[
{
"head": [
"40",
"41",
"CARDINAL",
"72"
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"tail": [
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"3",
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"England"
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}
],
[
{
"head": [
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"41",
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"72"
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"tail": [
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"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
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}
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[
{
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"41",
"CARDINAL",
"72"
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"tail": [
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"19",
"GPE",
"Great Britain"
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}
],
[
{
"head": [
"40",
"41",
"CARDINAL",
"72"
],
"tail": [
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"23",
"ORG",
"The Gambling Commission"
]
}
],
[
{
"head": [
"40",
"41",
"CARDINAL",
"72"
],
"tail": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
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}
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[
{
"head": [
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"41",
"CARDINAL",
"72"
],
"tail": [
"46",
"47",
"GPE",
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}
],
[
{
"head": [
"40",
"41",
"CARDINAL",
"72"
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"tail": [
"48",
"49",
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}
],
[
{
"head": [
"40",
"41",
"CARDINAL",
"72"
],
"tail": [
"61",
"63",
"PERSON",
"Belinda Ellis"
]
}
],
[
{
"head": [
"46",
"47",
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"Tring"
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"tail": [
"2",
"3",
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"England"
]
}
],
[
{
"head": [
"46",
"47",
"GPE",
"Tring"
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"tail": [
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"6",
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"03458520"
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}
],
[
{
"head": [
"46",
"47",
"GPE",
"Tring"
],
"tail": [
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"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
]
}
],
[
{
"head": [
"46",
"47",
"GPE",
"Tring"
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"tail": [
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"19",
"GPE",
"Great Britain"
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}
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[
{
"head": [
"46",
"47",
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"Tring"
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"tail": [
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"23",
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}
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[
{
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"47",
"GPE",
"Tring"
],
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"30",
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"5060"
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}
],
[
{
"head": [
"46",
"47",
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"Tring"
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"tail": [
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"39",
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"The Hospice Lottery Partnership Limited"
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}
],
[
{
"head": [
"46",
"47",
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"Tring"
],
"tail": [
"40",
"41",
"CARDINAL",
"72"
]
}
],
[
{
"head": [
"46",
"47",
"GPE",
"Tring"
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"tail": [
"48",
"49",
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"Hertfordshire"
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}
],
[
{
"head": [
"46",
"47",
"GPE",
"Tring"
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"tail": [
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"52",
"CARDINAL",
"HP23 6AF"
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}
],
[
{
"head": [
"46",
"47",
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"Tring"
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"tail": [
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"57",
"CARDINAL",
"01442 891459"
]
}
],
[
{
"head": [
"46",
"47",
"GPE",
"Tring"
],
"tail": [
"61",
"63",
"PERSON",
"Belinda Ellis"
]
}
],
[
{
"head": [
"48",
"49",
"GPE",
"Hertfordshire"
],
"tail": [
"2",
"3",
"GPE",
"England"
]
}
],
[
{
"head": [
"48",
"49",
"GPE",
"Hertfordshire"
],
"tail": [
"5",
"6",
"CARDINAL",
"03458520"
]
}
],
[
{
"head": [
"48",
"49",
"GPE",
"Hertfordshire"
],
"tail": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
]
}
],
[
{
"head": [
"48",
"49",
"GPE",
"Hertfordshire"
],
"tail": [
"17",
"19",
"GPE",
"Great Britain"
]
}
],
[
{
"head": [
"48",
"49",
"GPE",
"Hertfordshire"
],
"tail": [
"20",
"23",
"ORG",
"The Gambling Commission"
]
}
],
[
{
"head": [
"48",
"49",
"GPE",
"Hertfordshire"
],
"tail": [
"29",
"30",
"CARDINAL",
"5060"
]
}
],
[
{
"head": [
"48",
"49",
"GPE",
"Hertfordshire"
],
"tail": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
]
}
],
[
{
"head": [
"48",
"49",
"GPE",
"Hertfordshire"
],
"tail": [
"40",
"41",
"CARDINAL",
"72"
]
}
],
[
{
"head": [
"48",
"49",
"GPE",
"Hertfordshire"
],
"tail": [
"46",
"47",
"GPE",
"Tring"
]
}
],
[
{
"head": [
"48",
"49",
"GPE",
"Hertfordshire"
],
"tail": [
"50",
"52",
"CARDINAL",
"HP23 6AF"
]
}
],
[
{
"head": [
"48",
"49",
"GPE",
"Hertfordshire"
],
"tail": [
"55",
"57",
"CARDINAL",
"01442 891459"
]
}
],
[
{
"head": [
"48",
"49",
"GPE",
"Hertfordshire"
],
"tail": [
"61",
"63",
"PERSON",
"Belinda Ellis"
]
}
],
[
{
"head": [
"50",
"52",
"CARDINAL",
"HP23 6AF"
],
"tail": [
"2",
"3",
"GPE",
"England"
]
}
],
[
{
"head": [
"50",
"52",
"CARDINAL",
"HP23 6AF"
],
"tail": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
]
}
],
[
{
"head": [
"50",
"52",
"CARDINAL",
"HP23 6AF"
],
"tail": [
"17",
"19",
"GPE",
"Great Britain"
]
}
],
[
{
"head": [
"50",
"52",
"CARDINAL",
"HP23 6AF"
],
"tail": [
"20",
"23",
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"The Gambling Commission"
]
}
],
[
{
"head": [
"50",
"52",
"CARDINAL",
"HP23 6AF"
],
"tail": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
]
}
],
[
{
"head": [
"50",
"52",
"CARDINAL",
"HP23 6AF"
],
"tail": [
"46",
"47",
"GPE",
"Tring"
]
}
],
[
{
"head": [
"50",
"52",
"CARDINAL",
"HP23 6AF"
],
"tail": [
"48",
"49",
"GPE",
"Hertfordshire"
]
}
],
[
{
"head": [
"50",
"52",
"CARDINAL",
"HP23 6AF"
],
"tail": [
"61",
"63",
"PERSON",
"Belinda Ellis"
]
}
],
[
{
"head": [
"55",
"57",
"CARDINAL",
"01442 891459"
],
"tail": [
"2",
"3",
"GPE",
"England"
]
}
],
[
{
"head": [
"55",
"57",
"CARDINAL",
"01442 891459"
],
"tail": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
]
}
],
[
{
"head": [
"55",
"57",
"CARDINAL",
"01442 891459"
],
"tail": [
"17",
"19",
"GPE",
"Great Britain"
]
}
],
[
{
"head": [
"55",
"57",
"CARDINAL",
"01442 891459"
],
"tail": [
"20",
"23",
"ORG",
"The Gambling Commission"
]
}
],
[
{
"head": [
"55",
"57",
"CARDINAL",
"01442 891459"
],
"tail": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
]
}
],
[
{
"head": [
"55",
"57",
"CARDINAL",
"01442 891459"
],
"tail": [
"46",
"47",
"GPE",
"Tring"
]
}
],
[
{
"head": [
"55",
"57",
"CARDINAL",
"01442 891459"
],
"tail": [
"48",
"49",
"GPE",
"Hertfordshire"
]
}
],
[
{
"head": [
"55",
"57",
"CARDINAL",
"01442 891459"
],
"tail": [
"61",
"63",
"PERSON",
"Belinda Ellis"
]
}
],
[
{
"head": [
"61",
"63",
"PERSON",
"Belinda Ellis"
],
"tail": [
"2",
"3",
"GPE",
"England"
]
}
],
[
{
"head": [
"61",
"63",
"PERSON",
"Belinda Ellis"
],
"tail": [
"5",
"6",
"CARDINAL",
"03458520"
]
}
],
[
{
"head": [
"61",
"63",
"PERSON",
"Belinda Ellis"
],
"tail": [
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
]
}
],
[
{
"head": [
"61",
"63",
"PERSON",
"Belinda Ellis"
],
"tail": [
"17",
"19",
"GPE",
"Great Britain"
]
}
],
[
{
"head": [
"61",
"63",
"PERSON",
"Belinda Ellis"
],
"tail": [
"20",
"23",
"ORG",
"The Gambling Commission"
]
}
],
[
{
"head": [
"61",
"63",
"PERSON",
"Belinda Ellis"
],
"tail": [
"29",
"30",
"CARDINAL",
"5060"
]
}
],
[
{
"head": [
"61",
"63",
"PERSON",
"Belinda Ellis"
],
"tail": [
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
]
}
],
[
{
"head": [
"61",
"63",
"PERSON",
"Belinda Ellis"
],
"tail": [
"40",
"41",
"CARDINAL",
"72"
]
}
],
[
{
"head": [
"61",
"63",
"PERSON",
"Belinda Ellis"
],
"tail": [
"46",
"47",
"GPE",
"Tring"
]
}
],
[
{
"head": [
"61",
"63",
"PERSON",
"Belinda Ellis"
],
"tail": [
"48",
"49",
"GPE",
"Hertfordshire"
]
}
],
[
{
"head": [
"61",
"63",
"PERSON",
"Belinda Ellis"
],
"tail": [
"50",
"52",
"CARDINAL",
"HP23 6AF"
]
}
],
[
{
"head": [
"61",
"63",
"PERSON",
"Belinda Ellis"
],
"tail": [
"55",
"57",
"CARDINAL",
"01442 891459"
]
}
]
] | [
"REGISTERED_NUMBER",
"REGISTERED_IN",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the head entity",
"REGULATED_BY",
"[{\"relation\": \"REGISTERED_UNDER\"}]\n\nThis relation indicates that the",
"REGISTERED_IN",
"REGISTERED_IN\n\nExplanation:\nThe text states that \"The Hosp",
"LOCATED_IN",
"LOCATED_IN",
"LOCATION_OF\n\nExplanation:\nThe text mentions that \"The Hosp",
"\"TELEPHONE_NUMBER_OF\"",
"\"REGULATED_BY\"",
"REGISTERED_IN",
"REGISTRATION_NUMBER_OF\n\nExplanation:\nThe text states that \"",
"REGISTERED_IN\n\nExplanation:\nThe text states that \"The Hosp",
"REGISTERED_WITH",
"REGISTRATION_NUMBER_OF\n\nExplanation:\nThe text states that \"",
"REGISTERED_IN\n\nExplanation:\nThe text states that \"The Hosp",
"LOCATED_IN",
"\"REGISTRANT\\_OF\"",
"[{\"relation\": \"REGISTERED_IN\"}]\n\nThis relation indicates that the head",
"REGISTRATION_NUMBER",
"[{\"label\": \"REGULATED_BY\"}]\n\nThis relation indicates that \"The",
"[\"REGULATED_BY\"]",
"{\"relation\": \"REGULATED_BY\"}",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"LOCATION\n\nExplanation:\nThe text mentions that The Hospice Lottery",
"LOCATED_IN",
"LOCATED_IN",
"LOCATION_OF\n\nExplanation:\nThe relation between 'The Hospice Lot",
"\"TELEPHONE_NUMBER_OF\"",
"\"RESPONSIBLE\\_FOR\"",
"LOCATION_IN_LOCATION\n\nOr, since the entities are represented as strings, the",
"REGISTRATION_NUMBER_COUNTRY",
"\"REGULATED_BY\"",
"[\"REGULATES\"]",
"[\"REGULATED_BY\"]",
"\"REGULATED_BY\"",
"[{\"head\": \"Great Britain\", \"relation\": \"REGULATES\", \"tail\":",
"LOCATION_IN_REGION",
"LOCATION_IN\n\nExplanation:\nThe text mentions that \"The Hosp",
"LOCATION_OF\n\nExplanation:\nThe text mentions that The Hospice",
"\"REGULATED_BY\"",
"REGULATED_BY",
"REGISTRATION_LOCATION",
"REGISTRATION_NUMBER_ISSUED_BY",
"[\"REGULATES\"]",
"REGULATES\n\n[{'head': ['17', '19', 'G",
"[\"REGULATES\"]\n\nThis relation indicates that The Gambling Commission regulates The H",
"[\"REGULATES\"]",
"REGULATES\n\nOr, if you prefer a more JSON-like format:\n\n",
"LOCATED_IN",
"LOCATED_IN",
"REGULATES\n\nExplanation:\nThe Gambling Commission regulates The Hosp",
"REGULATES\n\nExplanation:\nThe Gambling Commission regulates The Hosp",
"[\"REGULATOR\"]",
"[{\"label\": \"REGISTRATION_NUMBER_OF\", \"head\": \"50",
"{\"REGULATED_BY\": []}\n\nIf the text mentions that \"The H",
"[\"REGULATED_BY\"]",
"[\"REGULATED_BY\"]",
"\"REGULATED_BY\"",
"LOCATION_OF\n\nExplanation:\nThe text mentions that The Hospice",
"LOCATION_OF\n\nExplanation:\nThe text mentions that The Hospice",
"REGULATED_BY",
"REGISTERED_IN",
"REGISTRATION_NUMBER",
"[{\"relation\": \"IDENTICAL_TO\"}]\n\nThis text is about The Hosp",
"\"REGULATED_BY\"",
"\"REGULATED_BY\"",
"{\"REGISTRATION\": [\"The Hospice Lottery Partnership Limited\", \"50",
"LOCATION\n\nExplanation:\nThe text mentions that The Hospice Lottery",
"LOCATED_IN",
"LOCATED_IN",
"LOCATION_OF\n\nExplanation:\nThe text mentions that The Hospice",
"\"TELEPHONE_NUMBER_OF\"",
"\"RESPONSIBLE\\_FOR\"",
"REGISTERED_IN\n\n[{'head': ['The Hospice Lottery Partnership",
"\"REGISTERED_ADDRESS\"",
"[\"REGULATED_BY\"]",
"[\"REGULATED_BY\"]",
"LOCATED_AT",
"LOCATION_OF\n\nExplanation:\nThe text mentions that \"The Hosp",
"LOCATED_IN",
"RESponsible_for",
"LOCATED_IN",
"REGISTRATION_NUMBER_OF\n\nExplanation:\nThe text mentions that",
"LOCATED_AT",
"LOCATED_IN",
"REGULATED_BY",
"{\"relation\": \"REGULATED_BY\"}",
"LOCATED_AT",
"LOCATION_OF\n\nExplanation:\nThe text mentions that \"The Hosp",
"LOCATION_IN_LOCATION",
"LOCATION_OF\n\nExplanation:\nThe text mentions that The Hospice",
"\"TELEPHONE_NUMBER_OF\"",
"\"RESPONSIBLE_FOR\"",
"LOCATED_IN",
"LOCATED_IN",
"LOCATED_IN",
"LOCATED_IN",
"REGULATED_BY",
"\"REGISTRATION\\_NUMBER\"\n\nExplanation:\nThe text mentions that",
"LOCATED_IN",
"LOCATED_AT",
"LOCATION_IN_LOCATION",
"LOCATION_OF\n\nExplanation:\nThe text mentions that The Hospice",
"LOCATION_OF\n\nExplanation:\nThe text mentions that The Hospice",
"\"RESPONSIBLE_FOR\"",
"LOCATED_IN",
"LOCATION_OF\n\nExplanation:\nThe text mentions that The Hospice",
"LOCATED_IN",
"[\"REGULATED_BY\"]",
"LOCATION_OF\n\nExplanation:\nThe text mentions that The Hospice",
"LOCATION_OF\n\nExplanation:\nThe text mentions that The Hospice",
"LOCATED_IN",
"LOCATION_OF\n\nExplanation:\nThe text mentions that Belinda Ellis",
"LOCATED_IN",
"\"TELEPHONE_NUMBER_OF\"",
"REGULATED_BY",
"REGULATED_BY",
"\"TELEPHONE_NUMBER_OF\"",
"LOCATED_IN",
"LOCATED_IN",
"\"TELEPHONE_NUMBER_OF\"",
"REGISTRATION_LOCATION",
"[{\"relation\": \"REGISTRATION_NUMBER_OF\"}]\n\nThis relation indicates",
"\"RESPONSIBLE_FOR\"",
"REGULATED_BY",
"REGULATED_BY",
"\"REGULATED_BY\"",
"\"RESPONSIBLE_FOR\"",
"[{\"relation\": \"RESPONSIBLE_FOR\"}]\n\nExplanation",
"LOCATION_OF\n\nExplanation:\nThe relation \"LOCATION\\_OF\" indicates",
"LOCATION_OF\n\nExplanation:\nThe given text mentions that Belinda Ell",
"\"LOCATION_OF_PERSON\"",
"\"TELEPHONE_NUMBER_OF\""
] | [
[
"2",
"3",
"GPE",
"England"
],
[
"5",
"6",
"CARDINAL",
"03458520"
],
[
"7",
"12",
"ORG",
"The Hospice Lottery Partnership Ltd"
],
[
"17",
"19",
"GPE",
"Great Britain"
],
[
"20",
"23",
"ORG",
"The Gambling Commission"
],
[
"29",
"30",
"CARDINAL",
"5060"
],
[
"34",
"39",
"ORG",
"The Hospice Lottery Partnership Limited"
],
[
"40",
"41",
"CARDINAL",
"72"
],
[
"46",
"47",
"GPE",
"Tring"
],
[
"48",
"49",
"GPE",
"Hertfordshire"
],
[
"50",
"52",
"CARDINAL",
"HP23 6AF"
],
[
"55",
"57",
"CARDINAL",
"01442 891459"
],
[
"61",
"63",
"PERSON",
"Belinda Ellis"
]
] | 231 |
233 | [
"Blaming “all intelligence agencies of the world” for failing to uncover the terror leader’s compound, Mr Gilani reiterated the country’s resolve to eliminate terrorism and said an inquiry had been ordered.\n“We are determined to get to the bottom of how, when and why about OBL’s presence in Abbottabad. An investigation has been ordered,” he said, later adding that it would be conducted by a senior general.\n“Let me also affirm the government’s full confidence in the high command of the Pakistan Armed Forces and the Inter-Services Intelligence (ISI),” he said.\nMr Gilani also criticised the US raid that caught and killed the al-Qaeda chief, despite an earlier statement that it had been a “great victory” for counterterror efforts."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Blaming “all intelligence agencies of the world” for failing to uncover the terror leader’s compound, Mr Gilani reiterated the country’s resolve to eliminate terrorism and said an inquiry had been ordered.\n“We are determined to get to the bottom of how, when and why about OBL’s presence in Abbottabad. An investigation has been ordered,” he said, later adding that it would be conducted by a senior general.\n“Let me also affirm the government’s full confidence in the high command of the Pakistan Armed Forces and the Inter-Services Intelligence (ISI),” he said.\nMr Gilani also criticised the US raid that caught and killed the al-Qaeda chief, despite an earlier statement that it had been a “great victory” for counterterror efforts.']
Entities:
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Relation:
[/INST]
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}
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[
{
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"Aaron Franklin"
],
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"47",
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}
],
[
{
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"28",
"PERSON",
"Aaron Franklin"
],
"tail": [
"48",
"50",
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"Jack Ferraiolo"
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}
],
[
{
"head": [
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"PERSON",
"Aaron Franklin"
],
"tail": [
"51",
"54",
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"the Edgar Award"
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}
],
[
{
"head": [
"35",
"39",
"WORK_OF_ART",
"The Second Winter Trailer"
],
"tail": [
"2",
"3",
"GPE",
"Maui"
]
}
],
[
{
"head": [
"35",
"39",
"WORK_OF_ART",
"The Second Winter Trailer"
],
"tail": [
"6",
"9",
"PERSON",
"Neiman Marcus Cooks"
]
}
],
[
{
"head": [
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"39",
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"The Second Winter Trailer"
],
"tail": [
"21",
"24",
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}
],
[
{
"head": [
"35",
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"The Second Winter Trailer"
],
"tail": [
"26",
"28",
"PERSON",
"Aaron Franklin"
]
}
],
[
{
"head": [
"35",
"39",
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"The Second Winter Trailer"
],
"tail": [
"40",
"42",
"PERSON",
"Todd Strasser"
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}
],
[
{
"head": [
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"39",
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"The Second Winter Trailer"
],
"tail": [
"48",
"50",
"PERSON",
"Jack Ferraiolo"
]
}
],
[
{
"head": [
"40",
"42",
"PERSON",
"Todd Strasser"
],
"tail": [
"2",
"3",
"GPE",
"Maui"
]
}
],
[
{
"head": [
"40",
"42",
"PERSON",
"Todd Strasser"
],
"tail": [
"6",
"9",
"PERSON",
"Neiman Marcus Cooks"
]
}
],
[
{
"head": [
"40",
"42",
"PERSON",
"Todd Strasser"
],
"tail": [
"10",
"11",
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]
}
],
[
{
"head": [
"40",
"42",
"PERSON",
"Todd Strasser"
],
"tail": [
"16",
"19",
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"Our Chemical Hearts"
]
}
],
[
{
"head": [
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"42",
"PERSON",
"Todd Strasser"
],
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"21",
"24",
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"New York Times"
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}
],
[
{
"head": [
"40",
"42",
"PERSON",
"Todd Strasser"
],
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"28",
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"Aaron Franklin"
]
}
],
[
{
"head": [
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"42",
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"Todd Strasser"
],
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"35",
"39",
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"The Second Winter Trailer"
]
}
],
[
{
"head": [
"40",
"42",
"PERSON",
"Todd Strasser"
],
"tail": [
"43",
"47",
"WORK_OF_ART",
"The Beast of Cretacea"
]
}
],
[
{
"head": [
"40",
"42",
"PERSON",
"Todd Strasser"
],
"tail": [
"48",
"50",
"PERSON",
"Jack Ferraiolo"
]
}
],
[
{
"head": [
"40",
"42",
"PERSON",
"Todd Strasser"
],
"tail": [
"51",
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"the Edgar Award"
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}
],
[
{
"head": [
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"WORK_OF_ART",
"The Beast of Cretacea"
],
"tail": [
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}
],
[
{
"head": [
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"The Beast of Cretacea"
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}
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{
"head": [
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}
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{
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}
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"tail": [
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}
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}
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}
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}
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{
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"tail": [
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}
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[
{
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"50",
"PERSON",
"Jack Ferraiolo"
],
"tail": [
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"PERSON",
"Aaron Franklin"
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}
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[
{
"head": [
"48",
"50",
"PERSON",
"Jack Ferraiolo"
],
"tail": [
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]
}
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[
{
"head": [
"48",
"50",
"PERSON",
"Jack Ferraiolo"
],
"tail": [
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"42",
"PERSON",
"Todd Strasser"
]
}
],
[
{
"head": [
"48",
"50",
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"Jack Ferraiolo"
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"The Beast of Cretacea"
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}
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[
{
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}
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{
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}
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{
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}
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}
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}
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{
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"the Edgar Award"
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}
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[
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"the Edgar Award"
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"tail": [
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] | [
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"MENTIONED_IN\n\nExplanation:\nThe text mentions \"New York Times",
"COOKING_OF_STEAK_BY_AUTHOR\n(Note: I assume",
"TRAILER_FOR\n\nExplanation:\nThe relation \"TRAILER_FOR",
"[{\"relation\": \"MENTIONED_IN\"}]\n\nExplanation:\nThe",
" topic_of_Trailer\n\n Explanation:\n In the context provided, 'M",
"WINNER_OF_AWARD",
"WIN_AWARD",
"LOCATION_AT\n\nExplanation:\nThe text mentions \"Neiman Marcus Cook",
"[{\"relation\": \"PRECEDES\"}]\n\nExplanation:\nThe context",
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"[\"MENTIONED_IN\"]\n\nExplanation:\nThe text mentions that \"",
"[{\"relation\": \"AUTHOR_OF\"}]\n\nExplanation:\nIn the",
"\"TRAILER_FOR\"",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"Ne",
"AUTHOR_OF\n\nExplanation:\nThe context does not provide enough information to establish",
"NO_RELATION.\n\nThe text does not provide any context that establishes a relation",
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"[{\"relation\": \"PRESENTS_TRAILER_FOR\"}]\n\nEx",
"[{\"relation\": \"MENTIONED_IN\"}]\n\nExplanation:\nThe",
"[{\"relation\": \"AUTHOR_OF\"}]\n\nThis relation indicates that Aaron Franklin is",
"appeared_before\n\n[Explanation: In this context, \"First Look\" is",
"WIN_AWARD",
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"CREATE_EVENT\n\nThe relation between \"Our Chemical Hearts\" (head) and \"",
"MENTIONED_IN\n\nExplanation:\nThe text mentions that \"New York",
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"WINNER_OF\n\nExplanation:\nThe text mentions that Jack Ferrai",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the New York",
"MENTIONED_IN\n\nExplanation:\nThe New York Times is mentioned in relation",
"[{\"relation\": \"PRECEDES\"}]\n\nThis relation indicates that the first event",
"[\"NEW_YORK_TIMES_PUBLISHED\"]",
"\"NEW_YORK_TIMES_AUTHOR\"",
"MENTIONED_IN\n\nExplanation:\nThe New York Times is mentioned in the",
"AUTHOR_OF\n\nExplanation:\nIn the given text, 'New York Times",
"\"NEWSPAPER_HAS_WORK_OF_ART\"",
"WINNER_OF_AWARD",
"\"WIN_AWARD\"",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Aaron Franklin is",
"COOKED_FOR",
"[{\"relation\": \"PRECEDES\"}]\n\nThis relation indicates that the first mention",
"AUTHOR_OF\n\nExplanation:\nThe relation between the entities is \"AUTHOR",
"AUTHOR_OF\n\n[{'head': ['26', '28', 'PER",
"\"APPEARS_IN\"",
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"AUTHOR_OF\n\nExplanation:\nThe text mentions that \"New York Times",
"NO_RELATION",
"WIN_AWARD",
"LOCATION_OF\n\nExplanation:\nThe text mentions \"The Second Winter Tra",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"MENTIONED_IN\n\n[Explanation: The New York Times is mentioned in relation",
"\"DISCUSSION_OF\"",
"\"SUBJECT_OF\"",
"WINNER_OF\n\nExplanation:\nThe text mentions that Jack Ferrai",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Todd Stras",
"AUTHOR_OF\n\nExplanation:\nIn the context provided, Todd Strasser",
"[{\"relation\": \"PRECEDES\"}]\n\nThis relation indicates that the head entity",
"AUTHOR_OF\n\nExplanation:\nThe text mentions that Todd Strasser",
"MENTIONED_IN\n\nExplanation:\nThe text mentions that \"Todd",
"NO_RELATION.\n\nThe text does not provide any context for a relation between Todd Str",
"CREATE_TRAILER_FOR\n\nExplanation:\nThe text mentions that Todd",
"AUTHOR_OF\n\nExplanation:\nThe text mentions Todd Strasser being",
"WIN_AWARD\n\nThis relation indicates that Todd Strasser won an award and Jack",
"WIN_AWARD",
"LOCATION_OF\n\nExplanation:\nThe text mentions 'Todd Stras",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"MENTIONED_IN\n\nExplanation:\nThe text mentions \"Todd Str",
"AUTHOR_OF\n\nExplanation:\nThe text mentions \"New York Times best",
"AUTHOR_OF\n\nExplanation:\nThe text mentions \"Todd Stras",
"AUTHOR_OF\n\nExplanation:\nThe text mentions that Jack Ferrai",
"WIN_AWARD_AT_LOCATION\n\nOr, if using a more standardized",
"NO_RELATION.\n\nThe text does not provide any context that would establish a relation between",
"WIN_FIRST_PLACE",
"AUTHOR_OF\n\nExplanation:\nThe given text mentions that Jack Ferra",
"WINNER_OF\n\nExplanation:\nThe text mentions that Jack Ferrai",
"WIN_AWARD_BY\n\nThis relation indicates that Jack Ferraiolo won an",
"WINNER_OF\n\nExplanation:\nThe text mentions that Jack Ferrai",
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"AUTHOR_OF\n\nExplanation:\nThe text does not provide enough context to determine",
"WIN_AWARD",
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"WIN_AWARD",
"RECEIVED_AWARD_FROM",
"WIN_AWARD",
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"WIN_AWARD"
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[
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[
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[
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[
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[
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[
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[
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[
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[
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],
[
"51",
"54",
"WORK_OF_ART",
"the Edgar Award"
]
] | 234 |
236 | [
"Welcome to Love Your Life + Law of Attraction.\nToday we’re going to talk about how to ensure the things that follow you get better and better. To access this episode, join LYL Premium.\nThis episode is perfect for anyone who wants to learn…\n- How you can allow the Universe to do the heavy lifting of manifesting\n- What happens when you reach for a thought that feels better\n- Why Abraham says the Universe is not punishing you or blessing you\n- What joy is a sign of\n- Two pointers to help you reach for a thought that feels better\n“When you reach for the thought that feels better, the Universe is now responding differently to you because of that effort. And so, the things that follow you get better and better, too. So it gets easier to reach for the thought that feels better, because you are on ever-increasing, improving platforms that feel better.” —Abraham"
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Welcome to Love Your Life + Law of Attraction.\nToday we’re going to talk about how to ensure the things that follow you get better and better. To access this episode, join LYL Premium.\nThis episode is perfect for anyone who wants to learn…\n- How you can allow the Universe to do the heavy lifting of manifesting\n- What happens when you reach for a thought that feels better\n- Why Abraham says the Universe is not punishing you or blessing you\n- What joy is a sign of\n- Two pointers to help you reach for a thought that feels better\n“When you reach for the thought that feels better, the Universe is now responding differently to you because of that effort. And so, the things that follow you get better and better, too. So it gets easier to reach for the thought that feels better, because you are on ever-increasing, improving platforms that feel better.” —Abraham']
Entities:
[{'head': ['2', '9', 'WORK_OF_ART', 'Love Your Life + Law of Attraction'], 'tail': ['37', '39', 'ORG', 'LYL Premium']}]
Relation:
[/INST]
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}
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[
"185",
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]
] | 235 |
237 | [
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ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
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[{'head': ['0', '3', 'DATE', 'Saturday October 15th'], 'tail': ['17', '19', 'PERSON', 'Jim Shore']}]
Relation:
[/INST]
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{
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}
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[
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238 | [
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ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Buku: Health care for women subjected to intimate partner violence or sexual violence – A clinical handbook\nKategori: Health care\nTahun Terbit: 2022\nThis handbook is for health-care providers like you. It can help you care for women who have been subjected to violence. This can be physical, sexual or emotional violence whether by a partner or in the case of sexual violence by any perpetrator.\nViolence damages women’s health in many ways, both immediate and long-term, both obvious and hidden. Women who have been abused or assaulted need care and support. As her health-care provider, you may be the first person that she talks to about the violence. This handbook is meant especially to help you respond appropriately.']
Entities:
[{'head': ['0', '1', 'PERSON', 'Buku'], 'tail': ['19', '20', 'PERSON', 'Kategori']}]
Relation:
[/INST]
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],
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}
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[
{
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[
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}
],
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],
"tail": [
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}
]
] | [
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239 | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
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ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Via Valprato, 68\n10153 - Torino\nOur story is a simple story of friendship and profession. We were competitors in the market for several years. Curiosity for our job led us to meet and discuss technologies.\nWe started collaborating and discovered many different skills, in the same field.\nWe thought it would nice to work together. And when we dared to tell each other, we got together and created Kahuna Sound.']
Entities:
[{'head': ['1', '2', 'PERSON', 'Valprato'], 'tail': ['27', '29', 'DATE', 'several years']}]
Relation:
[/INST]
| [
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{
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}
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}
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[
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] | 238 |
240 | [
"Minot Native Crowned 2022 Miss North Dakota\nWilliston, ND (KEYZ/KX News) Congratulations continue to pour in for a Minot woman crowned Saturday night as the new Miss North Dakota.\nMiss Sidni Kast won the title after competing against 12 other contestants in the event held annually in Williston.\nKast's social impact initiative is called “The One Body Movement,” focusing on personal health and the importance of taking care of oneself. She tells our partners at KXNews that if you take care of yourself and what makes you happy, the rest will fall into place.\nKast will go on to represent the state at the Miss America Competition in December.\nPhoto Credit: Sidni Kast - Facebook"
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["Minot Native Crowned 2022 Miss North Dakota\nWilliston, ND (KEYZ/KX News) Congratulations continue to pour in for a Minot woman crowned Saturday night as the new Miss North Dakota.\nMiss Sidni Kast won the title after competing against 12 other contestants in the event held annually in Williston.\nKast's social impact initiative is called “The One Body Movement,” focusing on personal health and the importance of taking care of oneself. She tells our partners at KXNews that if you take care of yourself and what makes you happy, the rest will fall into place.\nKast will go on to represent the state at the Miss America Competition in December.\nPhoto Credit: Sidni Kast - Facebook"]
Entities:
[{'head': ['0', '1', 'GPE', 'Minot'], 'tail': ['3', '4', 'DATE', '2022']}]
Relation:
[/INST]
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"LOCATION_OF\n\nExplanation:\nThe text states that the event was held in",
"LOCATION_IN_REGION",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that the entity",
"[{\"head\": \"0\", \"tail\": \"24\", \"label\": \"LOC_",
"[{\"head\": \"0\", \"tail\": \"27\", \"label\": \"EVENT_",
"[{\"head\": \"0\", \"tail\": \"28\", \"label\": \"OCC",
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"[{\"head\": \"GPE/Minot\", \"tail\": \"CARDINAL/",
"[{\"head\": \"0\", \"tail\": \"53\", \"label\": \"LOCATION",
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"\"CITY_OF_RESIDENCE\"",
"\"HEAD_OF\":\n\nExplanation:\nThe text states that Miss Sidni K",
"[{\"relation\": \"INFORMANT_OF\"}]\n\nThis relation indicates that Minot",
"\"CITY_OF_RESIDENCE\"\n\nExplanation:\nThe text states",
"[\"PARTICIPANT_IN\"]",
"[\"REPRESENTS\"]",
"\"CITY_OF_RESIDENCE\"\n\nExplanation:\nThe text states",
"LOCATION_OF_EVENT",
"\"WIN_PAGEANT\"",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]",
"\"LOCATION_OF_EVENT\"",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that the entity",
"LOCATION_OF_EVENT",
"\"WIN_PAGEANT\"",
"[{\"relation\": \"WIN_PAGEANT\"}]",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]",
"\"WON_AT\"",
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"[{\"relation\": \"INFORMANT_OF\"}]",
"[{\"relation\": \"WIN_PAGEANT\"}]",
"[{\"relation\": \"WIN_PAGEANT\"}]",
"LOCATION_OF\n\nExplanation:\nThe text states that the event was held in",
"\"HOST_IN_YEAR\"",
"LOCATION_OF\n\nExplanation:\nThe text states that the event (Miss North",
"[{\"relation\": \"EQ_NAME\"}]\n\nOr, since the text mentions \"",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that \"KEY",
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"[{\"relation\": \"WIN_AT_EVENT\", \"head\": \"North Dakota\", \"",
"[{\"relation\": \"OCCURRED_IN\"}]",
"[{\"relation\": \"PART_OF\"}]\n\nExplanation:\nThe text states",
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"[{\"head\": \"North Dakota\", \"relation\": \"HOSTED\", \"tail\": \"",
"[{\"head\": \"North Dakota\", \"tail\": \"held annually\"}]\n\nThis",
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"\"HEAD_OF_ORGANIZATION\"",
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"\"REPRESENTS\"",
"[\"REPRESENTS\"]",
"[\"REPRESENTS\"]",
"\"REPRESENTS\"",
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"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nOr, if you prefer",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the event where Miss",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the event was held",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that KEYZ",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the event where Miss",
"[{\"event_location\": \"Williston\", \"event_date\": \"Saturday\"",
"[{\"event\": \"held\", \"location\": \"Williston\"}]\n\nOr,",
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"LOCATION_OF\n\nExplanation:\nThe text states that the event where Sidni",
"[{\"relation\": \"HOSTED_EVENT_WITH_NUMBER_OF_CONTESTANTS",
"[{\"relation\": \"LOCATION_HAS_PROPERTY\", \"property\": \"holds_annually",
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"LOCATION_OF\n\nExplanation:\nThe text states that the event where Miss K",
"\"LOCATION_OF_EVENT\"",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that Willist",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]",
"[\"PART_OF\"]",
"[\"REPRESENTS\"]",
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"LOCATION_OF\n\nExplanation:\nThe text mentions that the event where Miss",
"[{\"relation\": \"HOSTED_ON\"}]\n\nExplanation:\nThe text",
"[{\"relation\": \"PART_OF\"}]\n\nExplanation:\nThe text states",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes how the event \"",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that \"KEY",
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"[{\"relation\": \"OCCURRED_IN\"}]",
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"[{\"relation\": \"PREPOSITIONAL_PHrase_MODIFIER\", \"head_",
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"[{\"relation\": \"LOCATION_HAS_PROPERTY\", \"property\": \"holds_annually",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes how an event took",
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" [\"REPRESENTS\"]",
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"\"LOCATION_OF_EVENT\"",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]",
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"[{\"head\": \"DATE\", \"tail\": \"GPE\", \"label\": \"LOCATION",
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"[{\"relation\": \"WIN_CONTEST_BY_ENTITY\", \"head_label\":",
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"[{\"head\": \"TIME\", \"tail\": \"GPE\", \"relation\": \"LOCATION",
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"[{\"head\": \"TIME\", \"tail\": \"GPE\", \"relation\": \"LOCATION",
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"[{\"relation\": \"WIN\"}]",
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"[{\"head\": \"North Dakota\", \"tail\": \"held annually\"}]\n\nThis",
"LOCATION_OF\n\n[Explanation: The text states that the event was held in",
"\"RESIDES_IN\"\nor\n\"BELONGS_TO\"\n\n",
"\"ORGANIZED_BY\"",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that \"K",
"\"RESIDES_IN\"\nor\n\"BELONGS_TO\"\n\n",
"[\"REPRESENTS\"]",
"[\"REPRESENTS\"]",
"\"RESIDES_IN\"\nor\n\"BELONGS_TO\"\n\n",
"\"CITY_OF_RESIDENCE\"\n\nExplanation:\nThe text states",
"\"WON_ON_DATE\"",
"\"REPRESENTS\"",
"LOCATION_OF\n\nExplanation:\nThe text states that \"the event was held",
"\"RESIDES_IN\"\nor\n\"BELONGS_TO\"",
"SOURCE_MENTIONED\n\nExplanation:\nThe text mentions that \"congr",
"\"CITY_OF_RESIDENCE\"\n\nExplanation:\nThe text states",
"[{\"relation\": \"WON_ON_DATE\"}]",
"[{\"relation\": \"WIN_AT\"}]\n\nThis relation represents that the head entity (",
"\"RESIDES_IN\"\nor\n\"BELONGS_TO\"\n\n",
"Competed_Against",
"[{\"relation\": \"EVENT_OCCURS_ANNUALLY_AT_LOCATION",
"LOCATION_OF\n\nExplanation:\nThe text states that \"the event was held",
"[\"IS_IDENTIFIED_BY\"]",
"\"HEAD_OF_ORGANIZATION\"",
"INTERACTED_WITH",
"[\"IS_IDENTIFIED_BY\"]",
"\"WILL_REPRESENT\"",
" \"WILL_REPRESENT\"",
"\"IS_IDENTICAL\"",
"[{\"head\": \"12\", \"relation\": \"LOCATED_IN\", \"tail\":",
"represents\n\nExplanation:\nThe given text states that \"Miss Sidni Kast",
"[{\"location\": \"held\", \"relation\": \"LOCATION_OF\", \"head\": \"",
"[{\"head\": \"12\", \"relation\": \"REPRESENTS\", \"tail",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that the entity",
"[{\"head\": \"12\", \"relation\": \"HOM_TOWN_OF\",",
"represents\n\nExplanation:\nThe text states that \"Miss Sidni Kast won",
"[{\"relation\": \"WIN_PAGEANT\"}]",
"[{\"location\": \"held\"}]\n\nThis text describes the event \"Miss North Dakota Compet",
"[{\"relation\": \"WIN_PAGEANT\"}]\n\nThis text describes Sidni Kast",
"\"INITIATIVE_OF\"",
"[{\"relation\": \"INFORMANT_OF\"}]\n\nThis relation indicates that KX",
"[{\"relation\": \"WIN_PAGEANT\"}]",
"[{\"relation\": \"WIN_PAGEANT\"}]",
"[{\"head\": \"GPE\", \"tail\": \"GPE\", \"label\": \"LOC",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes an event that takes",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes an event that takes",
"[{\"relation\": \"REPORTS_ON\"}]\n\nThis relation indicates that KEYZ",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nOr, if you prefer",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes an event that takes",
" [\"ANNUALLY_HOSTS\"]",
"[{\"head\": \"annually\", \"relation\": \"HOSTS\", \"tail\": \"Will",
"[{\"relation\": \"HOSTS\"}]\n\nExplanation:\nThe text states that",
"[{\"head\": \"annually\", \"rel\": \"HOSTS\", \"tail\": \"The",
"[{\"relation\": \"REPORTS_ON\"}]\n\nThis relation indicates that the entity",
"[{\"relation\": \"HOSTS\"}]\n\nExplanation:\nThe text states that",
" [\"ANNUALLY_HOSTS\"]",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the event where Miss",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nOr, if you prefer",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the event where Miss",
"[{\"location\": \"annually held in\"}]\n\nOr, since the text mentions",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the event was held",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that KEYZ",
"[{\"location1\": \"Williston\", \"location2\": \"Minot\", \"relation",
"[{\"event_location\": \"Williston\", \"event_date\": \"Saturday\"",
"[{\"event\": \"held\", \"location\": \"Williston\"}]\n\nOr,",
"LOCATION_OF\n\nExplanation:\nThe text states that the event was held in",
"LOCATION_OF\n\nExplanation:\nThe text states that the event where Sidni",
"[{\"relation\": \"HOSTED_EVENT_WITH_NUM_PARTICIPANTS\"",
"[{\"head\": \"Williston\", \"relation\": \"HOSTS\", \"tail\": \"",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis text describes an event",
"LOCATION_OF\n\nExplanation:\nThe text states that the event where Miss Sid",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that Willist",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]",
"[\"PART_OF\"]",
" [\"GOING_TO\", \"Miss North Dakota\", \"represent\", \"December\"]",
"LOCATION_OF\n\nExplanation:\nThe text states that the event where Sidni",
"\"LOCATION_OF_EVENT\"",
"\"WIN_YEAR\"",
"\"REPRESENTS\"",
"LOCATION_OF\n\nExplanation:\nThe text states that the event where Miss K",
"\"RESIDES_IN\"\nor\n\"BELONGS_TO\"\n\n",
"[{\"relation\": \"MENTIONED_BY\"}]\n\nThis relation indicates that the entity",
"\"LOCATION_OF_EVENT\"",
"[{\"relation\": \"WON_ON_DATE\"}]",
"[{\"relation\": \"HAPPENED_ON\"}]",
"\"REPRESENTS\"",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"Competed_Against",
"[{\"relation\": \"EVENT_OCCURS_ANNUALLY_AT_LOCATION",
"LOCATION_OF\n\nExplanation:\nThe text states that \"Miss North Dakota was",
"\"HEAD_OF\"\n\nExplanation:\nThe text states that \"Miss Sidni",
"[{\"relation\": \"INFORMANT_OF\"}]\n\nThis relation indicates that KX",
"[{\"relation\": \"IDENTICAL_TO\"}]\n\nOr, since the entities are the",
" \"WILL_REPRESENT\"",
" \"WILL_REPRESENT\"",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
" origin_city\n\n Explanation:\n The text mentions that \"Sidni K",
"\"INITIATIVE_YEAR\"",
"\"ORGANIZED_IN\"\n\nThis relation indicates that the organization \"The One",
"LOCATION_OF\n\nExplanation:\nThe text mentions that \"The One Body",
" originates_from",
"MENTIONED_IN\n\n[Explanation: The text mentions \"our partners at",
" origin_city_of_movement\n\n Explanation:\n The text states that \"",
"\"EVENT_STARTED\"",
"[{\"relation\": \"PRECEDES\"}]\n\nThis relation indicates that \"The One",
"\"ORGANIZATION_LOCATED_IN\"",
"\"ORGANIZATION_OF_PERSON\"",
"[{\"relation\": \"HAS_NUM_CONTESTANTS\", \"head\": \"“The",
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"\"ORGANIZATION_OF_PERSON\"",
"INTERACTED_WITH",
"\"ORGANIZATION_OF_PERSON\"",
"represents\n\nExplanation:\nThe given text states that \"Sidni Kast",
" Represents_at\n\n Explanation:\n The given text states that \"Sidni",
"\"ORGANIZATION_OF_PERSON\"",
"[{\"relation\": \"REPORTED_IN\"}]",
"[{\"relation\": \"REPORTED_DATE\", \"head\": \"KXNews\", \"",
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"PARTNER_OF",
"[{\"relation\": \"is_affiliated_with\"}]",
"[{\"relation\": \"REPORTED_FROM\"}]\n\nThis relation indicates that KX",
"[{\"relation\": \"REPORTED_ON\"}]\n\nThis relation indicates that the event",
"[{\"relation\": \"PREP_FOR_EVENT\", \"head\": \"KXNews\",",
"[{\"relation\": \"REPORTS_FROM\"}]\n\nThis relation indicates that KX",
"[\"MEDIA_ORGANIZATION_REPORTS_ABOUT_PERSON\"]",
"[{\"relation\": \"reported_on\"}]\n\nThis text states that KXNews",
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"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that KXNews",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that KX",
"\"ORG_MENTIONED_IN\"",
"[{\"relation\": \"REPORTED_BY\"}]",
"[\"REPRESENTS\"]",
"represents_at\n\nExplanation:\nThe text states that \"Kast will go",
"[\"MEDIA_ORGANIZATION_REPORTS_ABOUT_PERSON\"]",
"\"LOCATION_OF_EVENT\"",
"\"WON_ON_DATE\"",
"\"REPRESENTS\"",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes how Kast,",
"\"RESIDES_IN\"\nor\n\"BELONGS_TO\"\n\n",
"[{\"relation\": \"MENTIONED_BY\"}]\n\nThis relation indicates that the entity",
"\"CITY_OF_RESIDENCE\"\n\nExplanation:\nThe text states",
"[{\"relation\": \"WON_ON_DATE\"}]",
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"\"RESIDES_IN\"\nor\n\"BELONGS_TO\"\n\n",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"WINNER_OF\n\nExplanation:\nThe text states that \"Minot woman [",
"[{\"relation\": \"EVENT_OCCURS_ANNUALLY_AT_LOCATION",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes how Kast,",
"[{\"relation\": \"IDENTICAL_TO\"}]\n\nOr, since the entities are the",
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"INTERACTED_WITH",
" \"WILL_REPRESENT\"",
" \"WILL_REPRESENT\"",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[\"REPRESENTS\"]",
"[\"REPRESENTS\"]",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"the Miss America Competition\",",
"[\"REPRESENTS\"]",
"[\"REPRESENTS\"]",
"[\"REPRESENTS\"]",
"represents\n\nExplanation:\nThe given text states that the new Miss North Dakota,",
"\"PARTICIPANT_IN\"",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"the Miss America Competition\",",
"[\"PARTICIPANT_IN\"]",
"represents\n\nExplanation:\nThe given text states that \"Kast will go on",
"[\"MEDIA_COVERAGE\"]\n\nExplanation:\nThe text mentions that",
"\"PARTICIPANT_IN\"",
"\"PARTICIPANT_IN\"",
"represents_at\n\nExplanation:\nThe given text states that Miss Kast will",
"represents_at\n\nExplanation:\nThe given text states that Miss North Dakota,",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis text describes that the",
"represents_at\n\nExplanation:\nThe given text states that Miss Kast will",
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"represents_at\n\nExplanation:\nThe given text mentions that Miss Kast",
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" \"WILL_REPRESENT\"",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"December\", \"tail\":",
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"LOCATION_OF\n\nExplanation:\nThe text states that \"the event was held",
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[
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],
[
"132",
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"Sidni Kast"
]
] | 239 |
241 | [
"Kamari Loses a Tooth by Kendra Thomas\nKamari Loses a Tooth is a fun and encouraging book about a child’s first loose tooth.\nA Little girl Kamari finds that she has her very first loose tooth. She feels scared to lose her teeth and asks her mom, don’t I need them to eat. Then her mom explains to her what to expect when you get a loose tooth and about a tooth fairy visit.\nJoin Kamari on her adventure to meet the tooth fairy as she learns it is okay to lose her teeth, and there is no need to worry about the loose tooth as a new adult tooth will grow soon in place of your baby tooth.\nThis simple and engaging story is perfect for young readers, especially those who are in the “loose tooth” stage.\nPerfect for 1+\nGrab your copy from Amazon."
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Kamari Loses a Tooth by Kendra Thomas\nKamari Loses a Tooth is a fun and encouraging book about a child’s first loose tooth.\nA Little girl Kamari finds that she has her very first loose tooth. She feels scared to lose her teeth and asks her mom, don’t I need them to eat. Then her mom explains to her what to expect when you get a loose tooth and about a tooth fairy visit.\nJoin Kamari on her adventure to meet the tooth fairy as she learns it is okay to lose her teeth, and there is no need to worry about the loose tooth as a new adult tooth will grow soon in place of your baby tooth.\nThis simple and engaging story is perfect for young readers, especially those who are in the “loose tooth” stage.\nPerfect for 1+\nGrab your copy from Amazon.']
Entities:
[{'head': ['0', '4', 'WORK_OF_ART', 'Kamari Loses a Tooth'], 'tail': ['5', '7', 'PERSON', 'Kendra Thomas']}]
Relation:
[/INST]
| [
[
{
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}
],
[
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}
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}
],
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{
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}
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}
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}
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[
{
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}
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{
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}
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{
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{
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}
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[
{
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[
{
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}
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{
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}
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[
{
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}
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{
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}
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{
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}
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{
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}
],
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{
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] | 240 |
242 | [
"Coming Up Short\nThe Knicks lost another heartbreaker to the Nets, this time in a game they were briefly in control of. The usual issues were to blame.\nGame 51: NYK 112, Nets 114 - “One Day We’re Gonna Beat Those Guys”\nThis one was tight to start, with the lead never exceeding four points either way throughout the entire first quarter, the most significant moment of which came when James Harden left the game for good after just four minutes of action.\nThanks to solid contributions from his unheralded te…"
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Coming Up Short\nThe Knicks lost another heartbreaker to the Nets, this time in a game they were briefly in control of. The usual issues were to blame.\nGame 51: NYK 112, Nets 114 - “One Day We’re Gonna Beat Those Guys”\nThis one was tight to start, with the lead never exceeding four points either way throughout the entire first quarter, the most significant moment of which came when James Harden left the game for good after just four minutes of action.\nThanks to solid contributions from his unheralded te…']
Entities:
[{'head': ['5', '6', 'ORG', 'Knicks'], 'tail': ['11', '12', 'ORG', 'Nets']}]
Relation:
[/INST]
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"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
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"[{\"relation\": \"WON_AGAINST\"}]",
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"[{\"relation\": \"LOST_TO\"}]\n\nThis relation represents that the head entity",
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] | 241 |
243 | [
"December of 2008, I became part of the First Person Singular Team at KUSP (at that point we were five). During the last months of KUSP in 2016, I was the last hold-out. Now I am providing the same 2-minute program at KSQD, Community Radio, because I wholeheartedly believe in giving community members a voice.\nI am also the treasurer at KSQD.\nI am attracted to the process of reducing a meaningful story or opinion to 90 seconds. I am a writer, so editing and honing a piece is a special love of mine. I have joined Mathilde Rand as co-producer of First Person Singular, and I encourage you to share your commentary on the air. This is community radio at its best."
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['December of 2008, I became part of the First Person Singular Team at KUSP (at that point we were five). During the last months of KUSP in 2016, I was the last hold-out. Now I am providing the same 2-minute program at KSQD, Community Radio, because I wholeheartedly believe in giving community members a voice.\nI am also the treasurer at KSQD.\nI am attracted to the process of reducing a meaningful story or opinion to 90 seconds. I am a writer, so editing and honing a piece is a special love of mine. I have joined Mathilde Rand as co-producer of First Person Singular, and I encourage you to share your commentary on the air. This is community radio at its best.']
Entities:
[{'head': ['0', '3', 'DATE', 'December of 2008'], 'tail': ['14', '15', 'ORG', 'KUSP']}]
Relation:
[/INST]
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"128",
"PERSON",
"Maurice Chammah"
],
"tail": [
"68",
"69",
"GPE",
"Austin"
]
}
],
[
{
"head": [
"126",
"128",
"PERSON",
"Maurice Chammah"
],
"tail": [
"70",
"71",
"GPE",
"Texas"
]
}
],
[
{
"head": [
"126",
"128",
"PERSON",
"Maurice Chammah"
],
"tail": [
"77",
"79",
"PERSON",
"Emily Chammah"
]
}
],
[
{
"head": [
"126",
"128",
"PERSON",
"Maurice Chammah"
],
"tail": [
"82",
"85",
"WORK_OF_ART",
"The Insider Prize"
]
}
],
[
{
"head": [
"126",
"128",
"PERSON",
"Maurice Chammah"
],
"tail": [
"96",
"99",
"ORG",
"American Short Fiction"
]
}
],
[
{
"head": [
"126",
"128",
"PERSON",
"Maurice Chammah"
],
"tail": [
"105",
"106",
"GPE",
"Egypt"
]
}
],
[
{
"head": [
"126",
"128",
"PERSON",
"Maurice Chammah"
],
"tail": [
"107",
"108",
"GPE",
"Jordan"
]
}
],
[
{
"head": [
"126",
"128",
"PERSON",
"Maurice Chammah"
],
"tail": [
"111",
"121",
"WORK_OF_ART",
"Let The Lord Sort Them: The Rise and Fall"
]
}
],
[
{
"head": [
"126",
"128",
"PERSON",
"Maurice Chammah"
],
"tail": [
"130",
"131",
"GPE",
"Texas"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"0",
"2",
"PERSON",
"Maurice Chammah"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"9",
"12",
"ORG",
"The Marshall Project"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"24",
"27",
"ORG",
"The New Yorker"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"28",
"32",
"ORG",
"The New York Times"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"33",
"35",
"ORG",
"The Atlantic"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"36",
"37",
"ORG",
"Esquire"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"39",
"41",
"ORG",
"Mother Jones"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"43",
"44",
"ORDINAL",
"first"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"53",
"54",
"DATE",
"2019"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"54",
"62",
"WORK_OF_ART",
"J. Anthony Lukas Work-In-Progress"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"68",
"69",
"GPE",
"Austin"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"70",
"71",
"GPE",
"Texas"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"77",
"79",
"PERSON",
"Emily Chammah"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"82",
"85",
"WORK_OF_ART",
"The Insider Prize"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"96",
"99",
"ORG",
"American Short Fiction"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"105",
"106",
"GPE",
"Egypt"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"107",
"108",
"GPE",
"Jordan"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"111",
"121",
"WORK_OF_ART",
"Let The Lord Sort Them: The Rise and Fall"
]
}
],
[
{
"head": [
"130",
"131",
"GPE",
"Texas"
],
"tail": [
"126",
"128",
"PERSON",
"Maurice Chammah"
]
}
]
] | [
"\"EMPLOYED_BY\"",
"[\"HAS_BEEN_PUBLISHED_BY\"]",
"[\"HAS_PUBLISHED\"]",
"[{\"label\": \"HAS_PUBLISHED\"}]",
"[{\"relation\": \"WRITES_FOR\"}]\n\nThis relation indicates that Maurice Ch",
"[{\"label\": \"HAS_BEEN_PUBLISHED_BY\"}]",
"[{\"relation\": \"AUTHOR_OF\"}]\n\nThis relation indicates that Maurice Chamma",
"[{\"label\": \"WON_AWARD\"}]",
"[{\"WINNER_OF\": \"\"}]\n\nThis relation label indicates that Maurice Chammah",
"\"RESIDES_IN\"",
"\"CAPITAL_OF\"\n\nExplanation:\nMaurice Chammah",
"CO-ORGANIZER",
" sponsor\n\n[{'head': ['0', '2', 'PERSON', 'M",
" sponsor\n\n[{'head': ['0', '2', 'PERSON', 'M",
"NO_RELATION.",
"[{\"label\": \"PREVIOUS_RESIDENCE_IN\"}]\n\nThis",
"\"AUTHOR_OF\"",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"\"LOCATION_OF_WORK\"\n\nExplanation:\nMaurice Chamma",
"[\"EMPLOYED_BY\"]",
"[\"PUBLISHED_BY\"]",
"[\"PUBLISHED_BY\"]",
"[\"PUBLISHED_IN\"]",
"Published_in",
"Published_In",
"[{\"head\": \"The Marshall Project\", \"relation\": \"wrote\", \"tail\": \"",
"[{\"head\": \"The Marshall Project\", \"tail\": \"2019\", \"label",
"[\"AWARDED_BY\"]",
"[\"LOCATION_OF\"]",
"[{\"head\": \"The Marshall Project\", \"relation\": \"is based in\", \"tail\":",
"CO-ORGANIZER",
" sponsor\n\n[{'head': ['9', '12', 'ORG', '",
" sponsor\n\n[{'head': ['9', '12', 'ORG', '",
"NO_RELATION.",
"[{\"head\": \"The Marshall Project\", \"tail\": \"Jordan\", \"relation\":",
"\"PUBLISHED_BY\"",
"\"EMPLOYED_BY\"",
"[{\"head\": \"The Marshall Project\", \"relation\": \"is_based_in\", \"",
"Published_By",
"[\"PUBLISHED_BY\"]",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED\"]",
"[\"AWARDED_BY\"]",
"[\"LIVES_IN\"]",
"[{\"head\": \"The New Yorker\", \"relation\": \"PUBLISHED_",
"CO-ORGANIZER",
" sponsors\n\n[{'head': ['24', '27', 'ORG',",
" sponsor\n\n[{'head': ['24', '27', 'ORG',",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"Published_By",
"Published_By",
"[{\"head\": \"The New Yorker\", \"relation\": \"PUBLISHED_",
"Published_by",
"[\"PUBLISHER_OF\"]",
"Published_in",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_BY\"]",
"[\"PUBLISHED_BY\"]",
"[\"PUBLISHED\"]",
"[\"AWARDED_BY\"]",
"[\"LIVES_IN\"]",
"[{\"head\": \"The New York Times\", \"relation\": \"PUBLISHED_",
"CO-ORGANIZER",
" sponsor\n\n[{'head': ['28', '32', 'ORG',",
" sponsor\n\n[{'head': ['28', '32', 'ORG',",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"Published_By",
"Published_by",
"[{\"head\": \"The New York Times\", \"relation\": \"PUBLISHED_",
"Published_By",
"[\"PUBLISHED_BY\"]",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_BY\"]",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_BY\"]",
"[\"PUBLISHED_IN\"]",
"Published\n\n[{'head': ['53', '54', 'DATE', '",
"[\"PUBLISHED_BY\"]",
"[\"LOCATION_OF\"]",
"Published_in",
"[\"CO-ORGANIZER\"]",
" sponsor\n\n[{'head': ['33', '35', 'ORG',",
" sponsor\n\n[{'head': ['33', '35', 'ORG',",
"[{\"head\": \"The Atlantic\", \"tail\": \"Egypt\", \"relation\": \"",
"[{\"head\": \"The Atlantic\", \"tail\": \"Jordan\", \"relation\": \"",
"Published_By",
"Published_By",
"Published_in",
"Published_By",
"[{\"publisher_of\": []}]\n\nThis relation label indicates that \"Esquire\"",
"Published_in",
"Published_in",
"Published_in\n\nExplanation:\nThe text states that Maurice Chammah'",
"[\"PUBLISHED_IN\"]",
"Published\\_in\n\n[Explanation: The head entity \"Esquire\" published the",
"Published\n\n[{'head': ['36', '37', 'ORG',",
"Published_in\n\nExplanation:\nThe text states that Maurice Chammah'",
"[\"LOCATION_OF\"]",
"Published_in",
"CO-ORGANIZER",
" sponsor\n\n[{'head': ['36', '37', 'ORG',",
" sponsor\n\n[{'head': ['36', '37', 'ORG',",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"head\": \"Esquire\", \"tail\": \"Jordan\", \"label\": \"",
"Published_By\n\nExplanation:\nThe text states that Maurice Chammah'",
"Published_By",
"Published_in",
"Published_By",
"Published_By",
"Published_in",
"Published_in",
"Published_in\n\nExplanation:\nThe text states that Maurice Chammah'",
"Published_in\n\nExplanation:\nThe text states that Maurice Chammah'",
"[\"PUBLISHED_IN\"]",
"Published\n\n[{'head': ['39', '41', 'ORG',",
"[\"PUBLISHED_BY\"]",
"[\"LOCATION_OF\"]",
"Published_in",
"[\"SPONSOR\"]",
" sponsor\n\n[{'head': ['39', '41', 'ORG',",
" sponsor\n\n[{'head': ['39', '41', 'ORG',",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"head\": \"Mother Jones\", \"relation\": \"PUBLISHED_IN",
"Published_By",
"Published_By",
"Published_in",
"[{\"relation\": \"AUTHOR_OF\"}]\n\nThis relation indicates that Maurice Chamma",
"[{\"head\": \"first\", \"relation\": \"WORKS_FOR\", \"tail\": \"",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_BY\"]",
"[\"PUBLISHED_IN\"]",
"Published_in",
"Published\\_in",
"\"LIVES_IN\"",
"[{\"head\": \"first\", \"relation\": \"is_from\", \"tail\": \"Tex",
"CO-ORGANIZER",
" sponsor\n\n[{'head': ['43', '44', 'ORDINAL",
"[{'head': 'head', 'tail': 'tail', 'label': 'PREVIO",
" prior_residence\n\n[Explanation: The text mentions that Maurice Chammah",
"[{\"relation\": \"AUTHOR_OF\"}]",
"[{\"head\": \"first\", \"relation\": \"is_located_in\", \"tail",
"[{\"label\": \"WIN_AWARD\"}]",
"[{\"head\": \"2019\", \"tail\": \"The Marshall Project\", \"label",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_BY\"]",
"Published_in",
"Published_in",
"Published\\_in",
"[\"LIVES_IN\"]",
"[{\"label\": \"LOCATION_OF_AWARD\"}]\n\nThis relation indicates",
"CO-ORGANIZER",
" sponsor\n\n[{'head': ['53', '54', 'DATE', '",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"label\": \"WIN_AWARD\"}]",
"[{\"label\": \"LOCATION_OF_AWARD\"}]\n\nThis relation indicates",
"\"WINNER_OF\"",
"[\"AWARDED_BY\"]",
"Published_In",
"Published_in",
"Published_In",
"Published_in",
"Published_In",
"RESIDES_IN",
"LOCATION_OF_EVENT\n\nExplanation:\nThe text mentions that Maurice Ch",
" CO-ORGANIZER",
" sponsor\n\n[{'head': ['54', '62', 'WORK_OF",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between Maurice",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"\"WINNER_OF\"",
"[{\"head\": \"J. Anthony Lukas Work-In-Progress\", \"relation\":",
"LIVES_IN",
"\"LOCATION_OF\"\n\nExplanation:\nThe text states that Maurice Chamma",
"Published_in",
"Published_in",
"[{\"publisher_of\": \"\"}]\n\nThis relation label indicates that \"Austin",
"Published_in",
"Published_in",
"[{\"head\": \"Austin\", \"tail\": \"first\"}]\n\nRelation",
"[{\"head\": \"Austin\", \"tail\": \"2019\", \"label",
"LOCATION_OF\n\nExplanation:\nThe text mentions that Maurice Chammah",
"[{\"head\": \"Austin\", \"tail\": \"Texas\", \"label\": \"",
"CO-ORGANIZER",
"\"LOCATION_OF\"",
" sponsor\n\n[{'head': ['68', '69', 'GPE',",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"PREVIOUSLY_LIVED_IN\"]",
"LOCATION_OF\n\nExplanation:\nThe head entity \"Austin\" is",
"LIVES_IN",
"[{\"head\": \"Austin\", \"tail\": \"Texas\", \"label\": \"",
"LOCATION_OF\n\nExplanation:\nThe text states that Maurice Chammah is",
"\"LOCATION_OF\"\n\nThis relation indicates that \"Texas\" is the location where",
"Published_in",
"Published_in",
"Published_in",
"Published_in",
"Published_in",
"[{\"head\": \"GPE-Texas\", \"tail\": \"ORDINAL-first",
"[{\"head\": \"GPE-Texas\", \"tail\": \"DATE-201",
"LOCATION_OF\n\nExplanation:\nThe text mentions that Maurice Chammah",
"[\"LOCATION_IN_REGION\"]",
"CO-ORGANIZER",
" sponsor_of\n\nExplanation:\nThe text mentions that Maurice Chammah",
" sponsor\n\n[{'head': ['70', '71', 'GPE',",
"NO_RELATION.",
"[{\"PREV_RESIDENCE\": \"\"}]\n\nIf the text mentions that Maurice",
"LOCATION_OF_WORK\n\nExplanation:\nThe text states that Maurice Chamma",
"LOCATION_OF\n\nExplanation:\nThe text states that Maurice Chammah is",
"[{\"relation\": \"CAPITAL_OF\"}]\n\nThis text describes how Maurice Ch",
"[{\"label\": \"SPOUSE\"}]",
"[{\"CO-ORGANIZER_OF\": \"\"}]\n\nThis relation label indicates",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"WORKS_FOR\"}]\n\nThis relation indicates that Emily Chamma",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between Emily",
"NO_RELATION.\n\nThe text mentions that Emily Chammah co-organizes",
"[\"PUBLISHED_BY\"]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between Emily",
"[{\"head\": \"Emily Chammah\", \"tail\": \"Austin\", \"",
"CO-ORGANIZER_OF\n\nExplanation:\nEmily Chamma",
" CO-ORGANIZER",
" sponsor\n\n[{'head': ['77', '79', 'PERSON',",
"NO_RELATION.",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
" CO-ORGANIZER_OF\n\n Explanation:\n In the context provided",
"CO-ORGANIZER",
"CO-ORGANIZES\n\nThis relation indicates that Emily Chammah and Maurice Ch",
" sponsor\n\n[{'head': ['0', '2', 'PERSON', 'M",
" sponsor\n\n[{'head': ['82', '85', 'WORK_OF",
" sponsor\n\n[{'head': ['82', '85', 'WORK_OF",
"Published_in",
"Published_In",
"Published_In",
" sponsor\n\n[{'head': ['82', '85', 'WORK_OF",
"LOCATION_OF\n\n[Explanation: The Insider Prize is located in Austin.]",
" sponsor_of\n\nExplanation:\nThe text states that Maurice Chammah and",
" CO-ORGANIZER",
" sponsor\n\n[{'head': ['82', '85', 'WORK_OF",
" prior_residence\n\n[Explanation: The entities represent 'The Insider Prize'",
"[{\"head\": \"The Insider Prize\", \"tail\": \"Jordan\", \"relation",
" sponsor\n\n[{'head': ['82', '85', 'WORK_OF",
" sponsor_of\n\nExplanation:\nThe text states that Maurice Chammah and",
" sponsor\n\n[{'head': ['96', '99', 'ORG',",
" sponsor\n\n[{'head': ['96', '99', 'ORG',",
" sponsor\n\n[{'head': ['96', '99', 'ORG',",
" sponsor\n\n[{'head': ['96', '99', 'ORG',",
"[\"PUBLISHED_IN\"]",
"[\"PUBLISHED_IN\"]",
" sponsor\n\n[{'head': ['96', '99', 'ORG',",
" sponsor\n\n[{'head': ['43', '44', 'ORDINAL",
" sponsor_year\n\n[{'head': ['53', '54', 'DATE",
" sponsor\n\n[{'head': ['96', '99', 'ORG',",
" sponsors_in\n\nExplanation:\nThe text mentions that Maurice Chammah",
"SPONSOR\n\nExplanation:\nIn the context provided, \"American Short F",
"CO-ORGANIZER",
" sponsor\n\n[{'head': 'American Short Fiction', 'tail': 'The Ins",
"NO_RELATION.",
"[{\"head\": \"American Short Fiction\", \"tail\": \"Jordan\", \"relation",
"Published_by",
" sponsor\n\n[{'head': '126, 128, PERSON",
" sponsor_of",
"[{\"label\": \"LIVED_IN\"}]",
"[{\"head\": \"GPE-Egypt\", \"tail\": \"ORG-The",
"[{\"relation\": \"PREVIOUSLY_LIVED_IN\"}]",
"[{\"head\": \"GPE-Egypt\", \"tail\": \"ORG-The",
"[{\"head\": \"GPE-Egypt\", \"tail\": \"ORG-The",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"publisher_of\": []}]\n\nThis relation represents that \"Egypt\"",
"[{'head': 'GPE', 'tail': 'PERSON', 'relation': 'PRE",
"NO_RELATION.\n\nEntities refer to different parts of the text and the given relation does",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"PREVIOUS_RESIDENCE\"]",
"[\"PREVIOUS_RESIDENCE_OF\"]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.",
"[\"LOCATION_OF\", \"GPE\", \"Egypt\", \"ORG\", \"",
"[\"PREVIOUS_RESIDENCE\"]\n\nExplanation:\nThe text ment",
"\"LOCATION_OF_ORIGIN\"",
"[\"PREVIOUS_RESIDENCE\"]",
"[\"PREVIOUS_RESIDENCE\"]",
"[{\"label\": \"LIVED_IN\"}]",
"[{\"head\": \"GPE-Jordan\", \"tail\": \"ORG-The",
"Published_in",
"Published_in",
"[{\"publisher_of\": []}]\n\nIf the text mentions that \"The Atlantic",
"[{\"publisher_of\": \"\"}]\n\nThis relation represents that \"Jordan\"",
"Published\\_in",
"[{'head': 'GPE', 'tail': 'ORDINAL', 'label': '",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"PREVIOUS_RESIDENCE\"]",
"[\"COUNTRY_CAPITAL\"]",
"CO-ORGANIZER",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
" sponsor\n\n[{'head': ['96', '99', 'ORG',",
"[{\"PREVIOUS_RESIDENCE\": \"\"}]\n\nIf the text mentions",
"\"ORIGIN\"",
"[\"LOCATION_OF_RESIDENCE\"]",
"[\"COUNTRY_CAPITAL\"]",
"\"AUTHOR_OF\"",
"\"PUBLISHED_BY\"",
" Published_in",
"Published_by",
"Published_in",
"Published_in",
"Published_In",
"LOCATION_OF_PUBLICATION",
"LOCATION_OF_EVENT",
" CO-ORGANIZER",
" sponsor\n\n[{'head': ['111', '121', 'WORK",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"\"AUTHOR_OF\"",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"\"JOURNALIST_OF\"\n\nOr, if using a more standardized relation label",
"\"PUBLISHED\\_BY\"",
"\"HAS_BEEN_PUBLISHED_BY\"",
"\"HAS_PUBLISHED\"",
"\"HAS_BEEN_PUBLISHED_BY\"",
"\"PUBLISHED\\_BY\"",
"[{\"relation\": \"AUTHOR_OF\"}]\n\nOr, if you prefer a more",
"WINNER_OF_AWARD",
"\"WINNER_OF\"",
"LIVES_IN",
"\"CAPITAL_OF\"\n\nExplanation:\nIn the context provided, Maurice",
"CO-ORGANIZER",
" sponsor\n\n[{'head': ['126', '128', 'PER",
" sponsor\n\n[{'head': ['126', '128', 'PER",
"NO_RELATION.\n\nEntities represent:\n[126-128:",
" LIVED_IN",
"\"AUTHOR_OF\"",
"\"LOCATION_OF_WORK\"\n\nor\n\n\"RESIDES_IN\"",
"LOCATION_OF\n\nExplanation:\nThe text states that Maurice Chammah is",
"[{\"head\": \"GPE/Texas\", \"tail\": \"ORG/The Marshall",
"Published_in",
"Published_in",
"Published_in",
"Published_in",
"Published\\_in",
"[{\"head\": \"GPE-Texas\", \"tail\": \"ORDINAL-first",
"[{\"head\": \"GPE-Texas\", \"tail\": \"DATE-201",
"LOCATION_OF\n\nExplanation:\nThe text states that Maurice Chammah'",
"[\"LOCATION_IN_REGION\"]",
"[{\"head\": \"GPE-Texas\", \"tail\": \"GPE-Texas",
"CO-ORGANIZER",
" sponsor_of\n\nExplanation:\nThe text states that Maurice Chammah and",
" sponsor\n\n[Explanation: Maurice Chammah and his wife Emily Chammah",
"NO_RELATION.",
"[{\"head\": \"GPE-Texas\", \"tail\": \"GPE-Jord",
"LOCATION_OF_WORK\n\nExplanation:\nThe text states that Maurice Chamma",
"LOCATION_OF\n\nExplanation:\nThe text states that Maurice Chammah is"
] | [
[
"0",
"2",
"PERSON",
"Maurice Chammah"
],
[
"9",
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[
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248 | [
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ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
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[{'head': ['2', '3', 'FAC', 'Charlevoix'], 'tail': ['39', '41', 'PERSON', 'Earl Young']}]
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}
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"tail": [
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}
]
] | [
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"[\"MENTIONED_IN\"]",
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[
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[
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"Lost In Michigan"
]
] | 247 |
249 | [
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ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
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Entities:
[{'head': ['10', '13', 'PERSON', 'Jennifer R. Welty'], 'tail': ['93', '94', 'GPE', 'CANADA']}]
Relation:
[/INST]
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] | [
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250 | [
"Poster and sketch artwork for the band The Scrap Cats. The band wanted a Mad Max meets ThunderCats vibe.\nWorking on an idea for a comic strip series\nHere is an old cartoon that won me Young Cartoonist of the Year (2012)! Many thanks to my cat Monty for the inspiration, I’m sure he is up to his old antics in cat paradise."
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Poster and sketch artwork for the band The Scrap Cats. The band wanted a Mad Max meets ThunderCats vibe.\nWorking on an idea for a comic strip series\nHere is an old cartoon that won me Young Cartoonist of the Year (2012)! Many thanks to my cat Monty for the inspiration, I’m sure he is up to his old antics in cat paradise.']
Entities:
[{'head': ['7', '10', 'ORG', 'The Scrap Cats'], 'tail': ['15', '17', 'PERSON', 'Mad Max']}]
Relation:
[/INST]
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{
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] | [
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],
[
"54",
"55",
"PERSON",
"Monty"
]
] | 249 |
251 | [
"Magrisso Forte, LLC was founded in 2006 by Colin M. Caplan as a launch pad for his numerous services. Caplan is a native of New Haven having educated in New Orleans where he earned his Masters in Architecture from Tulane University. Building on his design background Caplan added his passion for history to his career. As a State registered genealogist and National Register consultant, services include architectural design, architectural history, historic building consultation, historic image database & marketplace, published author, National Register consultation, family genealogy, guided tours & digital presentations.\nCaplan is also the founder of Taste of New Haven, cultural and culinary tours & events, and Elm City Party Bike, pedaled sightseeing, exercise & leisure tours. He also owns and runs Limo Cycle and Sanford Food Tours in Orlando, Florida, and Hipside Peddler in Austin, Texas."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Magrisso Forte, LLC was founded in 2006 by Colin M. Caplan as a launch pad for his numerous services. Caplan is a native of New Haven having educated in New Orleans where he earned his Masters in Architecture from Tulane University. Building on his design background Caplan added his passion for history to his career. As a State registered genealogist and National Register consultant, services include architectural design, architectural history, historic building consultation, historic image database & marketplace, published author, National Register consultation, family genealogy, guided tours & digital presentations.\nCaplan is also the founder of Taste of New Haven, cultural and culinary tours & events, and Elm City Party Bike, pedaled sightseeing, exercise & leisure tours. He also owns and runs Limo Cycle and Sanford Food Tours in Orlando, Florida, and Hipside Peddler in Austin, Texas.']
Entities:
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Relation:
[/INST]
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[
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[
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] | [
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"[{\"label\": \"FOUNDER\"}]\n\nThis relation represents that Caplan founded the",
"REGISTRANT\n\nExplanation:\nThe text states that Caplan is a \"",
"[{\"label\": \"FOUNDER_OF\"}]\n\nThis relation indicates that Caplan",
" [\"FOUNDER\"]",
" [\"FOUNDER_OF\"]",
" [\"OWNS\"]",
" [\"OWNS\"]",
"[{\"head\": \"National Register\", \"relation\": \"owns\", \"tail\": \"Or",
"[\"OWNS_LOCATION\"]\n\nExplanation:\nThe text states that Cap",
" [\"OWNS\"]",
" [\"OWNS\"]\n\n Explanation:\n Caplan owns and runs Hipside",
"[\"OWNS_BUSiness_IN\"]\n\nExplanation:\nThe text ment",
"\"FOUNDED_BY\"",
"\"FOUNDED_DATE\"",
"[{\"label\": \"SELF_MENTION\"}]\n\nOr, since the question asks",
"[{\"label\": \"SELF_FOUNDED_OF\"}]",
"[{\"head\": \"Caplan\", \"tail\": \"New Haven\", \"relation\": \"LOC",
"[{\"head\": \"Caplan\", \"tail\": \"New Orleans\", \"label\": \"B",
"EDUCATED_AT",
"[{\"label\": \"SELF_FOUNDED_OF\"}]",
"[{\"label\": \"FOUNDER_OF\"}]\n\nThis relation indicates that Caplan",
"[{\"label\": \"FOUNDER_OF\"}]\n\nThis relation indicates that Caplan",
" [\"FOUNDER\"]",
" [\"OWNER\"]",
" OWNER",
" [\"OWNER\"]",
"[\"OWNS\"]",
" [\"OWNS\", \"OPERATES\"] # These labels can be used interchangeably for",
" [\"OWNER\"]",
" [\"OWNS\", \"RUNS\"] # These labels can be used interchangeably for business",
" [\"OWNS\"]",
" Founded_by",
"[{\"label\": \"FOUNDED_DATE\"}]",
"[{\"label\": \"FOUNDER_OF\"}]",
" [\"FOUNDER\"]",
"Based on the context in the text, the relation between the entities \"Taste of New Haven\"",
"[{\"head\": \"Taste of New Haven\", \"tail\": \"New Orleans\", \"label",
"EDUCATED_AT",
"[\"FOUNDER\"]",
" founder_of\n\n[{'head': ['Magrisso Forte, LLC', 'OR",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"FOUNDER\"]",
"[\"FOUNDER\"]",
" [\"ORGANIZATION\", \"FOUNDED_BY\"]",
"[\"FOUNDER\"]",
" [\"OWNS\"]\n\n Explanation:\n Caplan is the head entity and he",
" [\"OWNS\", \"OPERATES_IN\"]\n\nExplanation:\nThe",
"[\"FOUNDER\"]",
" [\"OWNS\", \"OPERATES\"] # These labels can be used interchangeably for",
" [\"OWNS\"]\n\n Explanation:\n Caplan is the head entity and he",
" [\"OWNER\"]",
"[\"FOUNDED\"]",
"[{\"label\": \"FOUNDER_OF\"}]",
"[{\"label\": \"FOUNDER\"}]",
"[\"LOCATED_IN\"]",
"[{\"head\": \"Elm City Party Bike\", \"tail\": \"New Orleans\", \"",
"EDUCATED_AT",
"[{\"label\": \"FOUNDER\"}]",
"[\"OWNER_OF\"]\n\nExplanation:\nThe text states that Caplan",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"label\": \"FOUNDER\"}]",
"[\"FOUNDER\"]",
"[\"OWNER_OF\"]",
"[\"OWNER\"]",
"[\"ORGANIZED_IN_LOCATION\"]",
"[\"OWNS_LOCATION\"]",
"[\"OWNER\"]",
"[\"OWNS_LOCATION\"]",
" [\"OWNS_LOCATION\"]",
" [\"OWNER\"]",
" FOUNDED_IN_YEAR",
" OWNER",
" OWNER",
" [\"OWNS_LOCATION\"]",
"[{\"head\": \"Limo Cycle\", \"tail\": \"New Orleans\", \"label\":",
"EDUCATED_AT",
" OWNER",
" OWNER_OF\n or\n REGISTERED_IN (for State)",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
" OWNER",
" [\"OWNER\"]",
" [\"OWNER_OF\"]",
"[\"OWNER\"]",
" [\"OWNS\"]",
"[\"OWNS_LOCATION\"]",
"[\"OWNER\"]",
" [\"OWNS\"]",
" [\"OWNS\"]\n\n Explanation:\n The text states that \"He also owns",
" [\"OWNS\"]",
"[{\"label\": \"FOUNDED_DATE\"}]",
"[{\"label\": \"FOUNDER\"}]",
" [\"OWNER\"]",
" [\"OWNS_LOCATION\"]",
"[{\"head\": \"Sanford Food Tours\", \"tail\": \"New Orleans\", \"label",
"EDUCATED_AT",
"[{\"label\": \"OWNER\"}]",
"[\"OWNED_BY\"]\n\nExplanation:\nThe text states that \"He",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"OWNER\"]",
"[\"ORGANIZATION_FOUNDED_BY\"]",
"[\"OWNER\"]",
"[\"OWNER\"]",
"[\"OWNS_LOCATION\"]",
"[{\"label\": \"LOCATED_IN\"}]",
"[\"OWNER\"]",
"[\"OWNER_OF\"]\n\nExplanation:\nThe text states that Caplan",
"[\"OWNS\"]\n\nExplanation:\nThe text states that Caplan \"own",
" OWNER\n\n[Explanation: The text states that Caplan owns and runs",
"[{\"label\": \"FOUNDED_IN\"}]",
" OWNER\n\n[Explanation: The text states that Colin M. Caplan",
"[\"OWNER\"]",
" [\"ORIGIN_IN\"] # Caplan is from New Haven, but the company is based",
"[{\"head\": \"GPE-Orlando\", \"tail\": \"GPE-New Orleans",
"EDUCATED_AT",
"[{\"label\": \"OWNER_OF\"}]",
"[\"ORG_LOCATED_IN\"]",
"[{\"head\": \"Orlando\", \"tail\": \"National Register\", \"relation\": \"LOC",
" OWNER\n\n[Explanation: Caplan is the owner of the businesses mentioned",
" [\"FOUNDER\"]",
"[\"OWNER\"]",
" OWNER",
" [\"OWNER\"]",
" [\"OWNS\"]",
"[\"OWNER\"]",
" [\"OWNS\", \"RUNS\"] # These labels can be used interchangeably for business",
"[\"OWNS\"]",
" [\"LOCATION\"]\n\n Explanation:\n In the context provided, 'Magrisso",
"[{\"head\": \"Florida\", \"tail\": \"2006\", \"label",
" [\"OWNS\"]",
" [\"OWNS\"]",
" [\"ORGANIZATION_LOCATION\"] # Magrisso Forte, LLC is located",
"[{\"head\": \"Florida\", \"tail\": \"New Orleans\", \"label\": \"",
"[{\"head\": \"GPE-Florida\", \"tail\": \"ORG-T",
"[\"OWNS\"]",
"[{\"head\": \"Florida\", \"relation\": \"is_located_in\",",
"[{\"head\": \"Florida\", \"tail\": \"National Register\", \"relation\": \"",
" [\"OWNS\"]",
" [\"OWNER\"]",
"[\"OWNER\"]",
" OWNER\n or\n [{'head': ['141', '1",
"[\"OWNER\"]",
"[\"OWNS\"]",
"[\"OWNER\"]",
" [\"OWNS\", \"RUNS\"] # These labels can be used interchangeably for business",
" [\"OWNS\", \"RUNS\"] # These labels can be used interchangeably for business",
" [\"OWNER\"]",
" [\"FOUNDED_IN_YEAR\"]",
"[{\"label\": \"FOUNDER_OF\"}]",
" [\"OWNER\"]",
"LOCATED_IN",
"[{\"head\": \"Hipside Peddler\", \"relation\": \"LOCATED_IN",
"EDUCATED_AT",
"[{\"label\": \"OWNER\"}]",
"[{\"label\": \"OWNER_OF\", \"head\": \"Hipside Pedd",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"label\": \"OWNER\"}]",
"[{\"head\": \"Hipside Peddler\", \"tail\": \"Taste of New",
"[{\"head\": \"Hipside Peddler\", \"tail\": \"Elm City Party",
"[{\"head\": \"Hipside Peddler\", \"tail\": \"Limo Cycle",
"[\"OWNER\"]",
" [\"OWNS_LOCATION\"]",
"[{\"head\": \"Hipside Peddler\", \"relation\": \"LOCATED_IN",
"\"LOCATED\\_IN\"",
"[\"OWNS\"]\n\nExplanation:\nThe text states that \"He also owns",
" OWNER\n or\n HEAD_ORGANIZATION\n or",
"[{\"label\": \"FOUNDED_IN\"}]",
" [\"OWNER\"]",
" OWNER\n or\n [{'head': ['21', '22",
" [\"OWNS_LOCATION\"]\n\nExplanation:\nThe text mentions that",
"[{\"head\": \"GPE-Austin\", \"tail\": \"GPE-New",
"EDUCATED_AT",
"[\"OWNER\"]",
"[{\"head\": \"Austin\", \"tail\": \"State\", \"relation\": \"loc",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
" [\"OWNER\"]",
" [\"OWNER\"]",
"[\"OWNER\"]",
" OWNER",
" [\"OWNER\"]",
" OWNER_OF",
" [\"OWNS\"]",
"[\"OWNER\"]",
"[\"OWNS_OR_RUNS\"]",
" [\"OWNS\"]",
"[{\"label\": \"FOUNDED_IN\"}]",
" OWNER\n or\n [{'head': ['9', '12',",
" OWNER\n\n[Explanation: Caplan owns and runs Hipside Ped",
" [\"OWNS_LOCATION\"]\n\n Explanation:\n Caplan owns and runs",
"[{\"head\": \"GPE-Texas\", \"tail\": \"GPE-New Orleans",
"EDUCATED_AT",
" OWNER\n\n[Explanation: Caplan owns and runs Hipside Ped",
" [\"OWNS\"]\n\n Explanation:\n The text states that Caplan owns and",
"[{\"head\": \"Texas\", \"tail\": \"National Register\", \"relation\": \"LOC",
" OWNER\n or\n [{'head': ['104', 'Cap",
" [\"OWNER\"]",
" [\"OWNER\"]",
" OWNER",
" [\"OWNER_OF\"]",
" OWNER_OF",
" [\"OWNS\", \"RUNS\"] # These labels can be used interchangeably for business",
" OWNER\n\n [Explanation: The text states that Caplan \"own",
" [\"OWNS\"]"
] | [
[
"0",
"4",
"ORG",
"Magrisso Forte, LLC"
],
[
"7",
"8",
"DATE",
"2006"
],
[
"9",
"12",
"PERSON",
"Colin M. Caplan"
],
[
"21",
"22",
"PERSON",
"Caplan"
],
[
"26",
"28",
"GPE",
"New Haven"
],
[
"31",
"33",
"GPE",
"New Orleans"
],
[
"41",
"43",
"ORG",
"Tulane University"
],
[
"49",
"50",
"PERSON",
"Caplan"
],
[
"61",
"62",
"ORG",
"State"
],
[
"90",
"92",
"ORG",
"National Register"
],
[
"104",
"105",
"PERSON",
"Caplan"
],
[
"110",
"114",
"ORG",
"Taste of New Haven"
],
[
"123",
"127",
"ORG",
"Elm City Party Bike"
],
[
"141",
"143",
"ORG",
"Limo Cycle"
],
[
"144",
"147",
"ORG",
"Sanford Food Tours"
],
[
"148",
"149",
"GPE",
"Orlando"
],
[
"150",
"151",
"GPE",
"Florida"
],
[
"153",
"155",
"ORG",
"Hipside Peddler"
],
[
"156",
"157",
"GPE",
"Austin"
],
[
"158",
"159",
"GPE",
"Texas"
]
] | 250 |
252 | [
"Continuity mistake: When Uncle Vernon is nailing a small piece of board to the mail slot, he nails it angled slightly to the right. When Harry's letters start pouring in and the small piece of board is ripped from the door, it is angled slightly to the left. The actual wood boards differ as well. (00:09:55 - 00:12:00)\nTo submit a picture, just click the edit icon under the relevant entry, then choose 'add a picture'. Thanks!\nAll images remain the copyright of their original owners - these low resolution images are simply individual frames used to demonstrate the entry.\nJoin the mailing list\nSeparate from membership, this is to get updates about mistakes in recent releases. Addresses are not passed on to any third party, and are used solely for direct communication from this site. You can unsubscribe at any time.Check out the mistake & trivia books, on Kindle and in paperback."
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["Continuity mistake: When Uncle Vernon is nailing a small piece of board to the mail slot, he nails it angled slightly to the right. When Harry's letters start pouring in and the small piece of board is ripped from the door, it is angled slightly to the left. The actual wood boards differ as well. (00:09:55 - 00:12:00)\nTo submit a picture, just click the edit icon under the relevant entry, then choose 'add a picture'. Thanks!\nAll images remain the copyright of their original owners - these low resolution images are simply individual frames used to demonstrate the entry.\nJoin the mailing list\nSeparate from membership, this is to get updates about mistakes in recent releases. Addresses are not passed on to any third party, and are used solely for direct communication from this site. You can unsubscribe at any time.Check out the mistake & trivia books, on Kindle and in paperback."]
Entities:
[{'head': ['5', '6', 'PERSON', 'Vernon'], 'tail': ['28', '29', 'PERSON', 'Harry']}]
Relation:
[/INST]
| [
[
{
"head": [
"5",
"6",
"PERSON",
"Vernon"
],
"tail": [
"28",
"29",
"PERSON",
"Harry"
]
}
],
[
{
"head": [
"5",
"6",
"PERSON",
"Vernon"
],
"tail": [
"63",
"66",
"TIME",
"00:09:55 - 00:12:00"
]
}
],
[
{
"head": [
"5",
"6",
"PERSON",
"Vernon"
],
"tail": [
"146",
"147",
"ORDINAL",
"third"
]
}
],
[
{
"head": [
"5",
"6",
"PERSON",
"Vernon"
],
"tail": [
"176",
"177",
"ORG",
"Kindle"
]
}
],
[
{
"head": [
"28",
"29",
"PERSON",
"Harry"
],
"tail": [
"5",
"6",
"PERSON",
"Vernon"
]
}
],
[
{
"head": [
"28",
"29",
"PERSON",
"Harry"
],
"tail": [
"63",
"66",
"TIME",
"00:09:55 - 00:12:00"
]
}
],
[
{
"head": [
"28",
"29",
"PERSON",
"Harry"
],
"tail": [
"146",
"147",
"ORDINAL",
"third"
]
}
],
[
{
"head": [
"28",
"29",
"PERSON",
"Harry"
],
"tail": [
"176",
"177",
"ORG",
"Kindle"
]
}
],
[
{
"head": [
"63",
"66",
"TIME",
"00:09:55 - 00:12:00"
],
"tail": [
"5",
"6",
"PERSON",
"Vernon"
]
}
],
[
{
"head": [
"63",
"66",
"TIME",
"00:09:55 - 00:12:00"
],
"tail": [
"28",
"29",
"PERSON",
"Harry"
]
}
],
[
{
"head": [
"63",
"66",
"TIME",
"00:09:55 - 00:12:00"
],
"tail": [
"176",
"177",
"ORG",
"Kindle"
]
}
],
[
{
"head": [
"146",
"147",
"ORDINAL",
"third"
],
"tail": [
"5",
"6",
"PERSON",
"Vernon"
]
}
],
[
{
"head": [
"146",
"147",
"ORDINAL",
"third"
],
"tail": [
"28",
"29",
"PERSON",
"Harry"
]
}
],
[
{
"head": [
"146",
"147",
"ORDINAL",
"third"
],
"tail": [
"176",
"177",
"ORG",
"Kindle"
]
}
],
[
{
"head": [
"176",
"177",
"ORG",
"Kindle"
],
"tail": [
"5",
"6",
"PERSON",
"Vernon"
]
}
],
[
{
"head": [
"176",
"177",
"ORG",
"Kindle"
],
"tail": [
"28",
"29",
"PERSON",
"Harry"
]
}
],
[
{
"head": [
"176",
"177",
"ORG",
"Kindle"
],
"tail": [
"63",
"66",
"TIME",
"00:09:55 - 00:12:00"
]
}
],
[
{
"head": [
"176",
"177",
"ORG",
"Kindle"
],
"tail": [
"146",
"147",
"ORDINAL",
"third"
]
}
]
] | [
"Sender_Recipient\n\nOr, if using a more specific relation label for mail-related",
"occurred_during",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the entities",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between '",
"\"PARENT_OF\"\nor\n\"FATHER_OF\" (depending",
"occurred_during",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the entities",
"\"PRODUCES\"\n\nor\n\n\"OFFERS\"\n\ndepending on",
"PERforms_action_on_TIME\nor\nCAUSED_CHANGE_IN_STATE_",
"[{\"relation\": \"GEN_EVENT_FOR_ENTITY\"}]\n\nExplanation",
"MENTIONED_IN\n\n[Explanation: The text mentions \"Check out the",
"UNCLE_OF\n\n[Explanation: The text mentions \"Uncle Vernon",
"[\"RECIPIENT_OF\"]",
"\"PRODUCED_BY\"",
"\"SELLER_OF_PRODUCT\"",
"\"SELLS\"\nor\n\"PROVIDES_ACCESS_TO\" (for digital",
"DISPLAY_TEXT: \"MENTIONED_IN_TEXT\"\nJSON_LABEL: \"",
"\"SELLS_THROUGH_PLATFORM\""
] | [
[
"5",
"6",
"PERSON",
"Vernon"
],
[
"28",
"29",
"PERSON",
"Harry"
],
[
"63",
"66",
"TIME",
"00:09:55 - 00:12:00"
],
[
"146",
"147",
"ORDINAL",
"third"
],
[
"176",
"177",
"ORG",
"Kindle"
]
] | 251 |
253 | [
"Congratulations to Aaron Koch for a successful defense of his dissertation on October 31st. He graduated from David Sherman's laboratory. Aaron will be starting a postdoc at Cayman Chemical. Best wishes in your future endeavors and forever...GO BLUE!\nOctober 31, 2017\nCongrats to Aaron on his Defense!\nAaron Koch successfully defended his dissertation on October 31st!"
] | [
[
"Congratulations",
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"!"
]
] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["Congratulations to Aaron Koch for a successful defense of his dissertation on October 31st. He graduated from David Sherman's laboratory. Aaron will be starting a postdoc at Cayman Chemical. Best wishes in your future endeavors and forever...GO BLUE!\nOctober 31, 2017\nCongrats to Aaron on his Defense!\nAaron Koch successfully defended his dissertation on October 31st!"]
Entities:
[{'head': ['2', '4', 'PERSON', 'Aaron Koch'], 'tail': ['12', '14', 'DATE', 'October 31st']}]
Relation:
[/INST]
| [
[
{
"head": [
"2",
"4",
"PERSON",
"Aaron Koch"
],
"tail": [
"12",
"14",
"DATE",
"October 31st"
]
}
],
[
{
"head": [
"2",
"4",
"PERSON",
"Aaron Koch"
],
"tail": [
"18",
"21",
"PERSON",
"David Sherman's"
]
}
],
[
{
"head": [
"2",
"4",
"PERSON",
"Aaron Koch"
],
"tail": [
"23",
"24",
"PERSON",
"Aaron"
]
}
],
[
{
"head": [
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" [\"LOC_IN_GPE\"]",
" [\"REDEVELOPMENT_OF\", \"LOCATION\", \"LOC\"]\n\n [",
"[\"LOC_IN_QUANTITY\"]",
"[{\"relation\": \"PREVIOUS_PROJECT_LOCATION_1\", \"label",
" [\"LOC_IN_GPE\"]",
"[\"DISTINCT_LOCATION_PROJECT\"] # or use the specific relation label for",
"[\"ASSOC_QUANTITY\"]\n\nExplanation:\nThe text mentions that",
" [\"ASSIGNED_BY\"]\n\nExplanation:\nIn the context provided, \"",
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"[\"LOCATION_WITHIN\"]\n\nExplanation:\nThe text states that Mei",
" [\"TRAVELS_TO\", \"VISITS\"]\n\nThis relation represents that Robert W",
" [\"TRAVELS_TO\", \"REDEVELOPMENT_OF\"]\n\n",
"[\"LOCATION_WITHIN\"]\n\nExplanation:\nThe text states that Mei",
"[\"LOC_IN_QUANTITY\"]",
"[\"REDEVELOPMENT_OF_AREA\", \"NO_RELATION\", \"",
"[\"NEARBY\"]\n\nExplanation:\nThe text mentions that one of the",
"ASSIGNED_AS\n\nExplanation:\nIn the context provided, the text ment",
"[\"ASSIGNED_BY\"]",
"[\"IN_CITY\"]",
"[\"TRAVELS_TO\", \"has_been_asked_to_visit",
"[\"TRAVELS_TO\", \"has_been_asked_to_visit",
"[\"IN_CITY\"]",
" [\"REDEVELOPMENT_OF\", \"LOCATION\"]\n [\"IS_LOCATION",
"[\"IN_CITY\"]",
"[\"REDEVELOPMENT_OF\"]\n\nExplanation:\nThe text ment",
"[\"ASSIGNED_BY\"]",
" [\"ASSIGNED_BY\"]",
"[\"ASSOC\", \"Oslo\", \"two projects\"]",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Oslo is",
"[\"LOCATION_same\"]\n\nExplanation:\nThe text mentions that Mei",
"[\"TRAVELED_TO\"]",
"[\"TRAVELLED_TO\"]",
"[\"TRAVELLED_TO\"]",
"[\"LOCATION_Same\"]\n\nExplanation:\nThe text states that Mei architect",
"[\"LOCATION_OF\"]",
" [\"LOC_IN_GPE\"] # The city of Oslo is located in the region of",
"LOCATION_QUANTITY\n\nOr, in JSON format:\n\n{\n\"relation",
"[\"ONE_OF_MANY\", \"Oslo\", \"project\"]\n\n[{'head",
" [\"LOCATION_OF\"]",
"[\"HAS_PROGRAM_SIZE\"]",
" [\"ASSIGNED_BY\"]",
" [\"DESIGNED_BY\"]",
"[\"REDEVELOPMENT_OF\", \"two\", \"projects\"]\n[\"IS_",
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"[\"LOCATION_IN\"]",
" [\"PRESENT_TIME\", \"TRAVELLED\"]\n\n or \n\n [\"",
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"[\"REDEVELOPMENT_LOCATION\"]",
"[\"INVOLVED_IN_REDEVELOPMENT_OF\", {\"size\": ",
"[\"ONE_OF_MANY\", \"second\", \"project\"]\n\nExplanation:",
" [\"LOCATION_IN_CITY\"]",
"\"HAS_PROGRAM_SIZE\"",
"[\"DESIGNED_BY\"]",
" DESIGNED_FOR",
"[\"PROGRAM_SIZE_IN_GPE\"]",
" [\"ASSIGNED_TO\"]",
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"[\"PROJECT_LOCATION\"]",
"[\"SIZE_OF_PROJECT\", \"Moss\"]",
"[\"PROGRAM_SIZE_IN_GPE\"]",
"[\"HAS_PROGRAM_SIZE\"]",
" DESIGNED_FOR",
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"[\"ASSIGNED_TO\"]",
"[{\"relation\": \"LOCATED_IN\"}]\n\nExplanation:\nThe text",
"[\"LOCATION_OF\"]",
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"[\"REDEVELOPMENT_LOCATION\"]",
"[\"HAS_AREA_OF_MORE_THAN\"]",
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[
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"Mei architects"
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[
"28",
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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],
[
"130",
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"Mei architects"
]
] | 253 |
255 | [
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Fast Metabolism 10-Day Cleanse Kit\n- In stock, ready to ship\n- Inventory on the way\nHaylie Pomroy’s 10-Day Fast Metabolism Cleanse helps to flush out the toxins and get you on your way to a faster metabolism. Nourishes the body, never depriving it. Mix Metabolism Shakes in your included Blender Bottle for two, three, four, or five meal and snack replacements daily. These shakes allow you to load up on nutrients, vitamins, and essential minerals while not feeling deprived.\nThe cleanse starts with a proprietary pea/rice protein, vegan and gluten-free. Contains targeted micronutrients and whole foods, such as organic kale, spinach, and spirulina. Enhanced with antioxidants and anti-inflammatory ingredients like quercetin, rutin, turmeric, and pomegranate.']
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[{'head': ['2', '5', 'DATE', '10-Day'], 'tail': ['22', '25', 'PERSON', 'Haylie Pomroy’s']}]
Relation:
[/INST]
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{
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{
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[
{
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[
{
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[
{
"head": [
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}
],
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{
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[
{
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[
{
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[
{
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[
{
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[
{
"head": [
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"73",
"CARDINAL",
"five"
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"tail": [
"22",
"25",
"PERSON",
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}
],
[
{
"head": [
"77",
"78",
"DATE",
"daily"
],
"tail": [
"22",
"25",
"PERSON",
"Haylie Pomroy’s"
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}
]
] | [
"[{\"relation\": \"AUTHOR_OF\"}]\n\nThis relation indicates that \"Hay",
"[\"AUTHOR_OF_PRODUCT\"\"]\n\nExplanation:\nThe text ment",
"[{\"relation\": \"PRODUCES_EVENT\"}]\n\nThis relation indicates that Hay",
"INCLUDED_IN",
"[{\"relation\": \"PRODUCES\"}]\n\nThis relation indicates that Haylie Pom",
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"[{\"relation\": \"AUTHOR_OF\"}]\n\nThis relation indicates that \"Hay",
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" creator\n\n[Explanation: The given text mentions that \"Haylie Pomroy",
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"[{\"label\": \"PRODUCER_OF\"}]\n\nThis relation indicates that \"",
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] | [
[
"2",
"5",
"DATE",
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],
[
"22",
"25",
"PERSON",
"Haylie Pomroy’s"
],
[
"25",
"28",
"DATE",
"10-Day"
],
[
"62",
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[
"65",
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[
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[
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[
"72",
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"five"
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[
"77",
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] | 254 |
256 | [
"NAJC Never disappoints - we have been working with them for 9 years and Tommy and his team are always up to the challenge. If they say they will delivery THEY WILL DELIVER! Great prices and great communications. We have also reached out to them for many projects that you would normally not associate with an emblematic jewelry company, however since they have been a staple in that category for so many years, their resources are impressive. Tommy and his team are a go to for us.\nLarry A. - Axis Promotions"
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['NAJC Never disappoints - we have been working with them for 9 years and Tommy and his team are always up to the challenge. If they say they will delivery THEY WILL DELIVER! Great prices and great communications. We have also reached out to them for many projects that you would normally not associate with an emblematic jewelry company, however since they have been a staple in that category for so many years, their resources are impressive. Tommy and his team are a go to for us.\nLarry A. - Axis Promotions']
Entities:
[{'head': ['0', '1', 'ORG', 'NAJC'], 'tail': ['11', '13', 'DATE', '9 years']}]
Relation:
[/INST]
| [
[
{
"head": [
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"tail": [
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}
],
[
{
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{
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}
],
[
{
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"so many years"
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}
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[
{
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}
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{
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],
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{
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}
],
[
{
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}
],
[
{
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],
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"PERSON",
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{
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"so many years"
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}
],
[
{
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}
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[
{
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[
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] | 255 |
257 | [
"27th October 2021 11:09pm\nCJ McCollum puts the Blazers up 6 with the pullup jumper\nHarden slaps Klays butt after the shot goes in\nCJ McCollum with the CLUTCH three in OT to tie the game!\nJames Harden with the absolutely insane assist to Jeff Green"
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['27th October 2021 11:09pm\nCJ McCollum puts the Blazers up 6 with the pullup jumper\nHarden slaps Klays butt after the shot goes in\nCJ McCollum with the CLUTCH three in OT to tie the game!\nJames Harden with the absolutely insane assist to Jeff Green']
Entities:
[{'head': ['0', '3', 'DATE', '27th October 2021'], 'tail': ['5', '7', 'PERSON', 'CJ McCollum']}]
Relation:
[/INST]
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}
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[
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258 | [
"The shortage of drinking water in the twin cities of Hubballi and Dharawad continues to rise. Former CM Jagadish Shettar has also given a lot of instructions...\nWith the onset of summer, there has been a water crisis in many parts of the Taluks. There is a shortage of drinking water in...\nFind the best odds at 10Cric and IPL Betting 2023! Signup today and get up to a 100% deposit bonus.\nGet latest news karnataka updates on your email.\nTo get the latest news on WhatsApp"
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['The shortage of drinking water in the twin cities of Hubballi and Dharawad continues to rise. Former CM Jagadish Shettar has also given a lot of instructions...\nWith the onset of summer, there has been a water crisis in many parts of the Taluks. There is a shortage of drinking water in...\nFind the best odds at 10Cric and IPL Betting 2023! Signup today and get up to a 100% deposit bonus.\nGet latest news karnataka updates on your email.\nTo get the latest news on WhatsApp']
Entities:
[{'head': ['10', '11', 'GPE', 'Hubballi'], 'tail': ['12', '13', 'GPE', 'Dharawad']}]
Relation:
[/INST]
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{
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[
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}
],
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}
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}
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],
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}
],
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],
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]
}
],
[
{
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"48",
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],
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}
],
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{
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],
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}
],
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}
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]
}
],
[
{
"head": [
"77",
"79",
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"100%"
],
"tail": [
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"11",
"GPE",
"Hubballi"
]
}
],
[
{
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"79",
"PERCENT",
"100%"
],
"tail": [
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"13",
"GPE",
"Dharawad"
]
}
],
[
{
"head": [
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"79",
"PERCENT",
"100%"
],
"tail": [
"19",
"21",
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"Jagadish Shettar"
]
}
],
[
{
"head": [
"77",
"79",
"PERCENT",
"100%"
],
"tail": [
"86",
"87",
"GPE",
"karnataka"
]
}
],
[
{
"head": [
"86",
"87",
"GPE",
"karnataka"
],
"tail": [
"10",
"11",
"GPE",
"Hubballi"
]
}
],
[
{
"head": [
"86",
"87",
"GPE",
"karnataka"
],
"tail": [
"12",
"13",
"GPE",
"Dharawad"
]
}
],
[
{
"head": [
"86",
"87",
"GPE",
"karnataka"
],
"tail": [
"19",
"21",
"PERSON",
"Jagadish Shettar"
]
}
],
[
{
"head": [
"86",
"87",
"GPE",
"karnataka"
],
"tail": [
"34",
"35",
"DATE",
"summer"
]
}
],
[
{
"head": [
"86",
"87",
"GPE",
"karnataka"
],
"tail": [
"47",
"48",
"NORP",
"Taluks"
]
}
],
[
{
"head": [
"86",
"87",
"GPE",
"karnataka"
],
"tail": [
"71",
"72",
"DATE",
"today"
]
}
],
[
{
"head": [
"86",
"87",
"GPE",
"karnataka"
],
"tail": [
"77",
"79",
"PERCENT",
"100%"
]
}
]
] | [
"[\"LOCATION_NEARBY\"]\n\nExplanation:\nThe text mentions that",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"Hub",
"NO_RELATION",
"[{\"relation\": \"LOCATED_IN\"}]\n\nExplanation:\nThe text",
"NO_RELATION.\n\nThe text does not provide any context for extracting a relation between",
"NO_RELATION.\n\nThe text does not provide any context for extracting a relation between",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"LOCATION_NEAR_LOCATION\"]",
"[\"GOVERNED_BY\"]\n\nExplanation:\nThe text mentions that",
"[{\"relation\": \"PRECEDES\"}]\n\nExplanation:\nThe text",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Dharaw",
"NO_RELATION.\n\nThe text does not provide any context for extracting a relation between",
"NO_RELATION.\n\nThe text does not provide any context for extracting a relation between",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"GOVERNED_OVER\"}]\n\nExplanation:",
"GIVEN_PERSON_IN_LOCATION\n\nOr, if you prefer a more",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[\"GOVERNMENT_OF_PERSON_FOR_AREA\" if head[0",
"NO_RELATION.\n\nThe text does not provide any context for extracting a relation between",
"NO_RELATION.",
"[{\"relation\": \"GOVERNED_BY\"}]\n\nExplanation:\n",
"[\"CAUSES_EVENT_IN\"]",
"[\"CAUSE_OF\", \"summer\", \"Dharawad\"]\n\nOr,",
"[\"INSTITUTED_INSTructions_BY\"]",
"[\"SEASON_IN_REGION\"]",
"[\"LOCATION_IN_LOCATION\"] # or [\"PART_OF\"] if you prefer the",
" [\"HAS_LOCATION\"]\n\nExplanation:\nThe entities represent the following:\n",
"[\"GOVERNED_BY\"]\n\nExplanation:\nThe text mentions that",
"LOCATION_IN_REGION",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the entities",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the entities",
"[{\"relation\": \"INSTRUCTED_BY\"}]\n\nThis relation indicates that Jagad",
"NO_RELATION.\n\nThe text does not provide any context for extracting a relation between",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"GAVE_INSTRUCTIONS\"}]",
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259 | [
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260 | [
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"160",
"ORG",
"the Smithsonian Latino Center"
],
"tail": [
"68",
"73",
"ORG",
"the United Farm Workers Union"
]
}
],
[
{
"head": [
"156",
"160",
"ORG",
"the Smithsonian Latino Center"
],
"tail": [
"74",
"75",
"ORG",
"UFW"
]
}
],
[
{
"head": [
"156",
"160",
"ORG",
"the Smithsonian Latino Center"
],
"tail": [
"84",
"85",
"NORP",
"Latina"
]
}
],
[
{
"head": [
"156",
"160",
"ORG",
"the Smithsonian Latino Center"
],
"tail": [
"109",
"111",
"PERSON",
"Dolores Huerta"
]
}
],
[
{
"head": [
"156",
"160",
"ORG",
"the Smithsonian Latino Center"
],
"tail": [
"112",
"121",
"WORK_OF_ART",
"Revolution in the Fields / Revolucion en los Campos"
]
}
],
[
{
"head": [
"156",
"160",
"ORG",
"the Smithsonian Latino Center"
],
"tail": [
"127",
"133",
"ORG",
"the Smithsonian Institution Traveling Exhibition Service"
]
}
],
[
{
"head": [
"156",
"160",
"ORG",
"the Smithsonian Latino Center"
],
"tail": [
"134",
"135",
"ORG",
"SITES"
]
}
],
[
{
"head": [
"156",
"160",
"ORG",
"the Smithsonian Latino Center"
],
"tail": [
"139",
"143",
"ORG",
"the National Portrait Gallery"
]
}
],
[
{
"head": [
"156",
"160",
"ORG",
"the Smithsonian Latino Center"
],
"tail": [
"149",
"153",
"ORG",
"the Latino Initiatives Pool"
]
}
]
] | [
"Subject_Of\n\nExplanation:\nThe text describes \"Dolores Huerta\"",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nor\n\n[{\"",
"BIRTH_OF\n\n[{'head': ['0', '2'], 'tail':",
"[{\"relation\": \"ACTIVITY_STARTED_DECades_AGO\"}]\n",
"[{\"relation\": \"ACTIVITY_STARTED_DATE\", \"head\": \"Dol",
"[{\"relation\": \"BIRTH_PLACE_OF\"}]\n\nExplanation",
"[{\"label\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"\"FOUNDER\"",
"CO-FOUNDER",
"[{\"label\": \"IDENTITY_OF_GROUP\"}]\n\nThis relation indicates that Dol",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nor\n\n[{\"",
"Subject_Is_Creator_Of\n\nExplanation:\nThe text describes Dolores",
"ORGANIZED_BY",
"Organizer\n\nExplanation:\nIn the context provided, Dolores Huerta is the",
"[{\"relation\": \"ORGANIZED_BY\"}]",
"RECEIVED_SUPPORT_FROM",
"RECEIVED\\_SUPPORT\\_FROM",
"Subject_Of: # The work of art is about Dolores Huerta.",
"Subject_Of: # The work of art is about Dolores Huerta.",
"Subject_Of: # The work of art is about Dolores Huerta.",
" topic_of: # The work of art is about the United Farm Workers Union.",
" topic_of_work_for:\n\n This relation indicates that the work of art, \"",
"Subject_Of: # The work of art is about Dolores Huerta.",
"ORGANIZED_BY",
"ORGANIZED_BY",
"Organizer_of\n\nExplanation:\nThe text mentions that \"the exhibition is",
"RECEIVED_SUPPORT",
"RECEIVED\\_SUPPORT\\_FROM",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nor\n\n[{\"",
"Subject_Of\n\nExplanation:\nThe text describes \"Dolores Huerta\"",
"[{\"relation\": \"BIRTH_OF\"}]\n\nOr, since the entities are",
"[{\"relation\": \"ACTIVITY_STARTED_IN_TIME_PERIOD\"",
"[{\"relation\": \"STARTED_IN\"}]\n\nThis relation indicates that Dolores Hu",
"[{\"relation\": \"BORN_IN_NATION\"}]\n\nOr, since",
"[{\"label\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"\"FOUNDER\"",
"CO-FOUNDER",
"[{\"label\": \"IDENTITY_OF_GROUP\"}]\n\nThis relation indicates that Dol",
" self\n\n# This is a mistake, the entities provided are the same. Here is the correct",
"Subject_Is_Creator_Of\n\nExplanation:\nThe text describes Dolores",
"ORGANIZED_BY",
"ORGANIZED_BY",
"Organizer_of\n\nExplanation:\nIn the context provided, Dolores Huerta",
"RECEIVED_SUPPORT_FROM",
"RECEIVED\\_SUPPORT\\_FROM",
"[{\"label\": \"BIRTH_OF\"}]\n\nThis relation indicates that the year",
"[{\"label\": \"BIRTH_OF\"}]\n\nThis relation indicates that the year",
"[{\"label\": \"BIRTH_OF\"}]\n\nThis relation indicates that the year",
"\"FOUNDER\"",
"CO-FOUNDER",
"[{\"label\": \"BIRTH_OF\"}]\n\nThis relation indicates that the year",
"ORGANIZED_BY",
"ORGANIZED_BY",
"\"ORGANIZED_BY\"",
"\"RECEIVED\\_SUPPORT\\_FROM\"",
"\"RECEIVED\\_SUPPORT\\_FROM\"",
"ACTIVITY_DURING_TIME: ['1960s', 'Dol",
"ACTIVITY_DURING_TIME: ['1960s', 'Dol",
"[{\"relation\": \"BELONGS_TO_TIME_PERIOD\"}]\n",
"founded_by",
"[{\"relation\": \"FOUNDED_BY\"}]\n\nThis relation indicates that the ",
"ACTIVITY_DURING_TIME: ['1960s', 'Dol",
"ORGANIZED_BY",
"ORGANIZED_BY",
"Organized_By",
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"RECEIVED\\_SUPPORT\\_FROM",
"[{\"relation\": \"ACTIVITY_STARTED_DATE\", \"head\": \"70",
"[{\"relation\": \"ACTIVITY_STARTED_BY_PERSON\"}]\n\n",
"[{\"relation\": \"BELONGS_TO_TIME_PERIOD\"}]\n",
"[{\"START\": \"70s\", \"END\": \"70s\", \"LABEL\":",
"[{\"START\": \"70s\", \"END\": \"70s\", \"LABEL\":",
"[{\"relation\": \"ACTIVITY_DURING_TIME\"}]\n\nThis relation",
"ORGANIZED_BY",
"[{\"organizer\": \"NO_RELATION\"}]\n[{\"sponsor\": \"",
"Organized_by",
"RECEIVED\\_SUPPORT\\_FROM",
"RECEIVED\\_SUPPORT\\_FROM",
"[{\"relation\": \"BELONGS_TO_NATION\"}]\n\nOr,",
"[{\"relation\": \"SUBJECT_OF\"}]\n\nThis relation indicates that \"Dol",
"[{\"relation\": \"SUBJECT_OF\"}]\n\nThis relation indicates that the head entity",
"\"ORGANIZED_BY\"",
"[{\"head\": \"American\", \"relation\": \"founded\", \"tail\": \"UFW",
"[{\"relation\": \"SUBJECT_OF\"}]\n\nThis relation indicates that \"Dol",
"ORGANIZED_BY",
"ORGANIZED_BY",
"Organizer_of\n\nExplanation:\nThe text mentions that the exhibition \"D",
"\"RECEIVED_SUPPORT_FROM\"",
"RECEIVED\\_SUPPORT\\_FROM",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"Subject_Of\n\nExplanation:\nThe text describes \"Dolores Huerta:",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{\"relation\": \"BIRTH_OF\"}]\n\nOr, if you prefer a",
"[{\"relation\": \"BACKGROUND_OF_EVENT\"}]\n\nThis relation indicates that",
"[{\"relation\": \"STARTED_IN\"}]\n\nThis relation indicates that Dolores Hu",
"[{\"relation\": \"BORN_IN_NATION\"}]\n\nOr, since",
"\"FOUNDER\"",
"CO-FOUNDER",
"[{\"label\": \"IDENTITY_OF_GROUP\"}]\n\nThis relation indicates that \"",
"[{\"relation\": \"SELF\"}]\n\nor\n\n[{\"relation\": \"IDENT",
"Subject_Is_A_Creator_Of\n\nExplanation:\nThe text describes",
"ORGANIZED_BY",
"ORGANIZED_BY",
"\"ORGANIZED_BY\"",
"RECEIVED_SUPPORT_FROM",
"RECEIVED\\_SUPPORT\\_FROM",
"\"FOUNDER\"",
"\"IS_A_WORK_OF_THE_ORGANIZATION\"",
"\"FOUNDER\"",
"\"FOUNDING_YEARS\"",
"[{\"relation\": \"STARTED_IN\"}]\n\nThis relation indicates that the United Farm",
"EXISTS_IN_TIMEFRAME\n\n[Explanation: The relation between the United",
"[{\"relation\": \"ORIGIN_FROM_NATION\"}]\n\nThis relation indicates",
"\"CO-FOUNDED_BY\"",
"[{\"relation\": \"self_reference\"}]\n\n# Explanation:\n# The",
"\"ORGANIZED_BY\"",
"\"FOUNDER\"",
"\"IS_A_WORK_OF_THE_UNION\"\nor\n\"PRODU",
"COLABORATOR",
"COLABORATOR",
"COLABORATOR",
"RECEIVED\\_SUPPORT\\_FROM",
"\"RECEIVED\\_SUPPORT\\_FROM\"",
"\"FOUNDER_OF\"",
"\"IS_A_WORK_OF_THE_ORGANIZATION\"",
"CO-FOUNDER",
"\"FOUNDER\"",
"[{\"relation\": \"STARTED_IN\"}]\n\nThis relation indicates that the United Farm",
"[{\"relation\": \"ACTIVITY_STARTED_DATE\", \"head_label\": \"",
"[{\"relation\": \"ORGANIZED_BY_NATIONALITY\", \"head",
"CO-FOUNDER",
"[{\"relation\": \"self_reference\"}]\n\n# Explanation:\n# The",
"[{\"relation\": \"FOUNDER_OF\"}]\n\nThis relation indicates that the United",
"CO-FOUNDER",
"\"EXHIBITED_BY\"",
"COLABORATOR",
"COLABORATOR",
"COLABORATOR",
"RECEIVED\\_SUPPORT\\_FROM",
"RECEIVED\\_SUPPORT\\_FROM",
"[{\"relation\": \"SUBJECT_OF\"}]\n\nThis relation indicates that the entity \"",
"\"ORGANIZED_BY\"",
"[{\"label\": \"ORGANIZED_BY\", \"head\": \"Latina\",",
"\"FOUNDER_OF\"",
"[\"CO-FOUNDED_BY\"]",
"\"ORGANIZED_BY\"",
"ORGANIZED_BY",
"\"ORGANIZED_BY\"",
"Organizer_of\n\nExplanation:\nIn the given text, the entity 'the",
"\"FUNDING_BY\"",
"\"ADMINISTERED_BY\"",
"self_reference",
"Subject_Is_Creator_Of\n\nExplanation:\nThe text describes Dolores",
"self_reference",
"BIRTH_OF\n\n[{'head': ['109', '111",
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"[{\"relation\": \"ACTIVITY_STARTED_DATE\", \"head\": \"Dol",
"[{\"relation\": \"BORN_IN_NATION\"}]\n\nThis relation indicates",
"[{\"label\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"\"FOUNDER\"",
"CO-FOUNDER",
"[{\"relation\": \"IDENTITY_OF\"}]\n\nThis relation indicates that \"Dol",
"Subject_Is_Creator_Of\n\nExplanation:\nThe text states that Dol",
"ORGANIZED_BY",
"ORGANIZED_BY",
"\"ORGANIZED_BY\"",
"RECEIVED_SUPPORT_FROM",
"RECEIVED\\_SUPPORT\\_FROM",
"Subject_Of: # The work of art is about Dolores Huerta.",
"Subject_Of: # The work of art is about Dolores Huerta.",
"Subject_Of: # The work of art is about Dolores Huerta.",
"Topic: The exhibition \"Revolution in the Fields / Revolucion en los Campos",
" topic_of_work_for:\n\n This relation represents that the work of art (Rev",
"Subject_Of: # The work of art is about Dolores Huerta.",
"\"ORGANIZED_BY\"",
"ORGANIZED_BY",
"Organized_By",
"RECEIVED_SUPPORT",
"RECEIVED\\_SUPPORT\\_FROM",
"ORGANIZED_BY",
"ORGANIZED_WORK_OF_ART",
"ORGANIZED_BY",
"ORGANIZED_BY",
"Organized_in_decade\n\n[{'head': ['127', '1",
"Organized_in_the_70s",
"ORGANIZED_BY",
"ORGANIZED_BY",
"ORGANIZED_BY",
"Organizer_of\n\nExplanation:\nThe Smithsonian Institution Traveling Exhib",
"COLLABORATOR",
"ORGANIZED_BY",
"ORGANIZED_WORK_OF_ART",
"[{\"IS_A\": [\"the Smithsonian Institution Traveling Exhibition Service\", \"",
"COLABORATOR",
"[\"ORGANIZED_BY\"]",
"COLABORATOR",
"ORGANIZED_BY",
"ORGANIZED_BY",
"ORGANIZED_BY",
"ORGANIZED_BY",
"Organized_in_decade\n\n[{'head': ['134', '1",
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"[{\"label\": \"ORGANIZED_BY\"}]\n\nThis relation indicates that",
"ORGANIZED_BY",
"COLABORATOR",
"COLABORATOR",
"[{\"organizer_of\": []}]\n\nThis relation label indicates that the head entity (",
"ORGANIZED_BY",
"ORGANIZED_BY",
"[{\"organizer_of\": []}]\n\nThis relation label indicates that the head entity (",
"COLABORATOR",
"\"SUPPORTED_BY\"",
"COLABORATOR",
"ORGANIZED_BY",
"\"EXHIBITED_BY\"",
"ORGANIZED_BY",
"\"ORGANIZED_BY\"",
"Organized_in_decade\n\n[{'head': ['139', '1",
"Organized_in_the_70s",
"Organizer_of\n\n[{'head': ['139', '143',",
"Organizer_of\n\nExplanation:\nThe text mentions that \"The exhibition is",
"COLABORATOR",
"COLABORATOR",
"\"ORGANIZED_BY\"",
"ORGANIZED_BY",
"\"EXHIBITED_WORK_OF_ART\"",
"COLABORATOR",
"COLABORATOR",
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"\"RECEIVED\\_SUPPORT\\_FROM\"",
"\"FEDERAL_SUPPORT\"",
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"\"FEDERAL_SUPPORT_FOR\"",
"[{\"label\": \"FUNDING_PERIOD\"}]\n\nThis relation indicates that",
"[{\"label\": \"FUNDING_PERIOD\"}]\n\nThis relation indicates that",
"[{\"label\": \"FUNDING_BY\"}]\n\nThis relation indicates that the \"",
"\"RECEIVED_SUPPORT_FROM\"",
"\"SUPPORTED_BY\"",
"\"FEDERAL_SUPPORT\"",
"\"ADMINISTERED_BY\"",
"\"RECEIVED\\_SUPPORT\\_FROM\"",
"\"FEDERAL_SUPPORT\"",
"\"ADMINISTERED_BY\"",
"\"ADMINISTERED_BY\"",
"\"RECEIVED\\_SUPPORT\\_FROM\"",
"ADMINISTERED_BY",
"[{\"label\": \"ADMINISTERED_BY\"}]\n\nThis relation indicates that the",
"\"ORGANIZED_BY\"",
"\"RECEIVED\\_SUPPORT\\_FROM\"",
"ADMINISTERED_BY",
"[{\"label\": \"SUPPORTED_BY_TIME\"}]\n\nThis relation indicates that the",
"[{\"label\": \"SUPPORTED_BY_TIME\"}]\n\nThis relation indicates that the",
"[{\"label\": \"SUPPORTED_BY\"}]\n\nThis relation indicates that the American entity",
"[{\"label\": \"ADMINISTERED_BY\"}]\n\nThis relation indicates that the",
"ADMINISTERED_BY",
"ADMINISTERED_BY",
"\"ADMINISTRATOR\"\n\nExplanation:\nThe Smithsonian Latino",
"ADMINISTERED_BY",
"\"ORGANIZED_BY\"",
"ADMINISTERED_BY",
"ADMINISTERED_BY",
"COLABORATOR",
"ADMINISTERED_BY"
] | [
[
"0",
"2",
"PERSON",
"Dolores Huerta"
],
[
"3",
"12",
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],
[
"21",
"23",
"PERSON",
"Dolores Huerta"
],
[
"24",
"25",
"DATE",
"b.1930"
],
[
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],
[
"35",
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],
[
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[
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[
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[
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],
[
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],
[
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[
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[
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[
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],
[
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"the National Portrait Gallery"
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[
"149",
"153",
"ORG",
"the Latino Initiatives Pool"
],
[
"156",
"160",
"ORG",
"the Smithsonian Latino Center"
]
] | 259 |
261 | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["Hi! My name is Véronique, I'm from Limburg (The Netherlands) and live in the south of France. I'm passionate about cooking, my kitchen garden, sharing recipes and our three dogs!\nOhmydish has been around since 2014 and normally 5x a week I will publish a new recipe or any other cooking related content. Recipes at Ohmydish are not specifically healthy, vegan, easy or cheap but have all been made with love and passion. You can contact me if you have any questions.\n@ohmydish on Instagram |\n@ohmydish on Pinterest |"]
Entities:
[{'head': ['5', '6', 'PERSON', 'Véronique'], 'tail': ['10', '11', 'GPE', 'Limburg']}]
Relation:
[/INST]
| [
[
{
"head": [
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"Véronique"
],
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]
}
],
[
{
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],
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"The Netherlands"
]
}
],
[
{
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],
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}
],
[
{
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],
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}
],
[
{
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],
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]
}
],
[
{
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],
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}
],
[
{
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"PERSON",
"Véronique"
],
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}
],
[
{
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],
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}
],
[
{
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}
],
[
{
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}
],
[
{
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}
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}
],
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{
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}
],
[
{
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],
"tail": [
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}
],
[
{
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],
"tail": [
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]
}
],
[
{
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}
],
[
{
"head": [
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"tail": [
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]
}
],
[
{
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}
],
[
{
"head": [
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"GPE",
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],
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}
],
[
{
"head": [
"12",
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"The Netherlands"
],
"tail": [
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"DATE",
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]
}
],
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[
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] | 260 |
262 | [
"Barcelona Reach €150m With Dortmund Deal For Dembele\nBarcelona has reached an agreement to sign Ousmane Dembele from Borussia Dortmund, according to reports in Spain.\nThe 20-year-old Frenchman will cost the Spanish giants around €150m, which would make him the second most expensive footballer ever, after the €222m Neymar, who incidentally was sold by Barcelona to Paris Saint-Germain.\nCatalan newspaper Mundo Deportivo reported that Barcelona officials confirmed they have reached an agreement in principle to sign Dembele from Borussia Dortmund after the player was suspended by the German club when he missed training while agitating for a move.\nThe deal is said to be worth an initial €120m with up to €30m in add-ons.\nDembele is expected to be unveiled over the weekend.\nphoto credit: thesun.co.uk"
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Barcelona Reach €150m With Dortmund Deal For Dembele\nBarcelona has reached an agreement to sign Ousmane Dembele from Borussia Dortmund, according to reports in Spain.\nThe 20-year-old Frenchman will cost the Spanish giants around €150m, which would make him the second most expensive footballer ever, after the €222m Neymar, who incidentally was sold by Barcelona to Paris Saint-Germain.\nCatalan newspaper Mundo Deportivo reported that Barcelona officials confirmed they have reached an agreement in principle to sign Dembele from Borussia Dortmund after the player was suspended by the German club when he missed training while agitating for a move.\nThe deal is said to be worth an initial €120m with up to €30m in add-ons.\nDembele is expected to be unveiled over the weekend.\nphoto credit: thesun.co.uk']
Entities:
[{'head': ['0', '1', 'ORG', 'Barcelona'], 'tail': ['3', '4', 'MONEY', '150']}]
Relation:
[/INST]
| [
[
{
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}
],
[
{
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[
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}
],
[
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],
[
{
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}
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[
{
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}
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{
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}
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[
{
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}
],
[
{
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}
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[
{
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}
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[
{
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}
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[
{
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}
],
[
{
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}
],
[
{
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}
],
[
{
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}
],
[
{
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],
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]
}
],
[
{
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],
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}
],
[
{
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}
],
[
{
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}
],
[
{
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[
{
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}
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{
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}
],
[
{
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}
],
[
{
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],
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}
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{
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}
],
[
{
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],
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}
],
[
{
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{
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}
],
[
{
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}
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[
{
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[
{
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}
],
[
{
"head": [
"145",
"146",
"PERSON",
"Dembele"
],
"tail": [
"73",
"77",
"ORG",
"Paris Saint-Germain"
]
}
],
[
{
"head": [
"145",
"146",
"PERSON",
"Dembele"
],
"tail": [
"79",
"80",
"NORP",
"Catalan"
]
}
],
[
{
"head": [
"145",
"146",
"PERSON",
"Dembele"
],
"tail": [
"81",
"83",
"ORG",
"Mundo Deportivo"
]
}
],
[
{
"head": [
"145",
"146",
"PERSON",
"Dembele"
],
"tail": [
"85",
"86",
"ORG",
"Barcelona"
]
}
],
[
{
"head": [
"145",
"146",
"PERSON",
"Dembele"
],
"tail": [
"97",
"98",
"PERSON",
"Dembele"
]
}
],
[
{
"head": [
"145",
"146",
"PERSON",
"Dembele"
],
"tail": [
"99",
"101",
"ORG",
"Borussia Dortmund"
]
}
],
[
{
"head": [
"145",
"146",
"PERSON",
"Dembele"
],
"tail": [
"108",
"109",
"NORP",
"German"
]
}
],
[
{
"head": [
"145",
"146",
"PERSON",
"Dembele"
],
"tail": [
"128",
"132",
"MONEY",
"an initial €120"
]
}
],
[
{
"head": [
"145",
"146",
"PERSON",
"Dembele"
],
"tail": [
"134",
"138",
"MONEY",
"up to €30"
]
}
],
[
{
"head": [
"145",
"146",
"PERSON",
"Dembele"
],
"tail": [
"152",
"154",
"DATE",
"the weekend"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"0",
"1",
"ORG",
"Barcelona"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"6",
"7",
"ORG",
"Dortmund"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"9",
"10",
"PERSON",
"Dembele"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"11",
"12",
"ORG",
"Barcelona"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"18",
"20",
"PERSON",
"Ousmane Dembele"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"21",
"23",
"ORG",
"Borussia Dortmund"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"28",
"29",
"GPE",
"Spain"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"64",
"65",
"PERSON",
"Neymar"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"71",
"72",
"ORG",
"Barcelona"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"73",
"77",
"ORG",
"Paris Saint-Germain"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"81",
"83",
"ORG",
"Mundo Deportivo"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"85",
"86",
"ORG",
"Barcelona"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"97",
"98",
"PERSON",
"Dembele"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"99",
"101",
"ORG",
"Borussia Dortmund"
]
}
],
[
{
"head": [
"152",
"154",
"DATE",
"the weekend"
],
"tail": [
"145",
"146",
"PERSON",
"Dembele"
]
}
]
] | [
"\"PAID\":\n\nExplanation:\nThe text states that Barcelona has reached an agreement",
"\"PAID\"\n\nExplanation:\nThe text states that Barcelona has reached an agreement",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are identical:\n",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"LOCATED_IN",
"[{\"head\": \"Barcelona\", \"relation\": \"OWNER_OF\", \"",
"SIGN_FOR\n\nExplanation:\nThe text states that Barcelona has reached an agreement to",
"[{\"relation\": \"LOCATED_IN\"}]\n\nExplanation:\nThe text",
"\"PAID\"\n\nThis relation indicates that Barcelona has paid around €150 to acquire",
"[{\"relation\": \"HAS_PROPERTY\", \"property\": \"second_most_expensive_",
"NO_RELATION. The entities provided do not have a relation based on the context given. The",
"NO_RELATION.\n\nThe text discusses two different transactions involving two different football clubs and",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are identical:\n",
"NO_RELATION.\n\nThe text discusses Barcelona signing Ousmane Dembele",
"[{\"relation\": \"REPORTED_BY\"}]\n\nExplanation:\nThe",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that Barcelona was",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are the same:",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"[{\"head\": \"0\", \"tail\": \"108\", \"relation\": \"AG",
"\"PAID\"",
"\"PAY_AMOUNT\"\n\nThis relation represents that Barcelona pays up to €3",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"[{\"head\": \"Barcelona\", \"tail\": \"unveil\", \"relation\":",
"PAID_BY",
"PAID_BY",
"\"PAID\\_BY\"",
"\"PAID_BY\"",
"\"PAID_AMOUNT_FOR_PERSON\"",
"PAID_BY",
"\"PAY_FROM_LOCATION\"",
"\"PRECEDED_BY_IN_TERMS_OF_COST\"",
"\"PAID_BY\"",
"SOLD_TO",
"[{\"relation\": \"REPORTED_BY\"}]\n\nExplanation:\nThe",
"\"PAID_BY\"",
"\"PAID\\_BY\"",
"PAID_BY",
"\"PAID_AMOUNT\"\n\nThis relation indicates that the head entity (MONE",
"\"PAID_BY\"",
"PAID_BY",
"\"PAID_BY\"",
"\"PAID_BY\"",
"\"PAID_BY\"",
"\"PAID_BY\"",
"\"PAY_FROM_LOCATION\"",
"NO_RELATION.\n\nThe text discusses the transfer of Ousmane Dembe",
"\"PAID_BY\"",
"\"PREVIOUS_OWNER\"",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that the entity",
"\"PAID_BY\"",
"\"PAID_BY\"",
"\"PAID_BY\"",
"\"PAID_BY\"",
"SOLD_BY\n\nExplanation:\nThe text states that Borussia Dortmund is",
"\"PAID_AMOUNT_FOR_TRANSFER\"",
"SOLD_FOR\n\nExplanation:\nThe text states that Dortmund will sell O",
"SOLD_BY",
"SOLD_TO",
"\"CLUB_BOUGHT\"",
"[{\"head\": \"Dortmund\", \"relation\": \"ORG_OF\", \"tail",
"LOCATION_OF\n\nExplanation:\nThe text mentions that Dortmund is the",
"[{\"head\": \"Dortmund\", \"relation\": \"OWNED_BY\", \"",
"[{\"head\": \"Dortmund\", \"relation\": \"owner_of\", \"tail\":",
"[{\"head\": \"Dortmund\", \"relation\": \"ORIGIN_FROM\", \"",
"\"PAID_AMOUNT_FOR_TRANSFER\"",
"\"Dortmund\": \"has_price_tag\": [\"second\", \"ORDINAL\"]",
"NO_RELATION.\n\nThe text discusses the transfer of Ousmane Dembe",
"NO_RELATION.\n\nThe text discusses the transfer of Ousmane Dembe",
"SOLD_TO",
"SOLD_TO",
"[{\"relation\": \"INFORMATION_SOURCE\"}]\n\nExplanation:\nThe",
"[{\"reported_by\": \"\"}]\n\nIf the text mentions that \"Mundo",
"SOLD_TO",
"SOLD_BY",
"[{\"head\": \"Dortmund\", \"relation\": \"ORG_OF\", \"tail",
"[{\"head\": \"Dortmund\", \"relation\": \"ORG_LOCATION_OF",
"SOLD_FOR\n\nThis relation indicates that Dortmund sold Ousmane Dembele",
"\"PAY_AMOUNT_FOR\"\n\nor\n\n\"PAID_AM",
"SOLD_BY",
"[{\"relation\": \"SIGN_EVENT\"}]\n\nThis relation indicates that Dortmund signed an",
"\"SIGNED_BY\"",
"\"PAID_AMOUNT\"",
"\"PAID_AMOUNT\"",
"SOLD_BY",
"\"SIGNED_BY\"",
"[\"IS_NAME_OF\"] # or [\"SAMEAS\"] for more formal/consistent",
"SOLD_BY",
"\"COUNTRY_OF_Origin\"\n\nExplanation:\nThe text states that",
"AGES_OF_PERSONS\n\nRelation:\n\"AGE_DIFFERENCE",
"[{\"relation\": \"IS_A\"}]\n\nOr, since the entities are given in",
"[{\"relation\": \"nationality_of\", \"head\": \"Dembele\", \"",
"COSTS\n\nExplanation:\nThe relation \"COSTS\" indicates that the",
"[{\"relation\": \"MOST_EXPENSIVE_THAN\"}]\n\nThis",
"NO_RELATION. The entities provided do not have a relation in the given text. The first",
"PRECEDED_BY_IN_TERMS_OF_COST",
"\"PLAYER\\_OF\"",
"NO_RELATION.\n\nThe text discusses Barcelona signing Dembele from Dortmund,",
"[{\"relation\": \"reported_by\"}]\n\nThis relation indicates that the Catalan",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that Mundo",
"\"PLAYER\\_OF\"",
"NO_RELATION (Since the entities are the same)\n\nHowever, if we assume that",
"SOLD_BY",
"NO_RELATION.\n\nThe text describes Dembele being a player from Borussia Dort",
"COSTS",
"\"PAYS\"\n\nThis relation indicates that Dembele's new team, Barcelona",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are the same:",
"[{\"relation\": \"Will_be_presented_on\"}]",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are identical:\n",
"\"PAID\":\n\nExplanation:\nThe text states that Barcelona has reached an agreement",
"\"PAID\"\n\nExplanation:\nThe text states that Barcelona has reached an agreement",
"BUYS_FROM",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"LOCATED_IN",
"[{\"head\": \"Barcelona\", \"relation\": \"OWNER_OF\", \"",
"[{\"head\": \"Barcelona\", \"relation\": \"SIGN_PLAYER\", \"tail",
"[{\"relation\": \"LOCATED_IN\"}]\n\nExplanation: The text ment",
"\"PAID\"\n\nThis relation indicates that Barcelona has paid around €150 to acquire",
"[{\"head\": \"Barcelona\", \"relation\": \"IS_second_most_exp",
"NO_RELATION. The entities provided do not have a relation based on the context in the text",
"NO_RELATION.\n\nThe text discusses two different transactions involving two different football clubs and",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"NO_RELATION.\n\nThe text discusses Barcelona's acquisition of Ousmane",
"NO_RELATION.\n\nEntities have no relation based on the given context.",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that Barcelona was",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"\"PAID\":\n\nThis relation indicates that Barcelona has paid an initial €120 to",
"\"PAY_COMPENSATION\"\n\nor\n\n\"PAID\" (assuming",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"[{\"head\": \"Barcelona\", \"relation\": \"UNVEIL\", \"tail\":",
"BUYER_OF\n\nExplanation:\nThe text states that Ousmane",
"COSTS\n\nExplanation:\nThe relation \"COSTS\" indicates that the",
"[\"COSTS\"]",
"SOLD_BY",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"BUYER_OF\n\nExplanation:\nThe text states that Ousmane",
"SOLD_BY",
"\"BELONGS_TO\"\n\nExplanation:\nThe text states that O",
"AGES_DIFF\n\nExplanation:\nThe entities provided are not directly related in",
"[{\"relation\": \"IS_A\"}]\n\nOr, since the text mentions \"",
"NO_RELATION.\n\nThe text describes Dembele being a French person who is being",
"COSTS",
"[{\"relation\": \"MOST_EXPENSIVE_BEFORE\"}]\n\nThis",
"NO_RELATION. The entities provided do not have a relation in the given text. The first",
"NO_RELATION. The entities do not have a direct relation in the given text.",
"BUYER_OF\n\nExplanation:\nThe text states that Ousmane",
"NO_RELATION.\n\nThe text mentions Paris Saint-Germain in relation to",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"Reported_by",
"BUYER_OF\n\nExplanation:\nThe text states that Ousmane",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"SOLD_BY",
"NO_RELATION.\n\nThe text mentions that Ousmane Dembele is",
"COSTS",
"\"PAYS\"\n\nThis relation indicates that Ousmane Dembele (head",
"[{\"head\": \"Ousmane Dembele\", \"relation\": \"IS_IDENT",
"NO_RELATION.\n\nThe text describes an agreement between Barcelona and Borussia Dortmund for",
"SOLD_TO",
"\"PAID_AMOUNT_FOR_TRANSFER\"",
"SOLD_FOR\n\nThis relation indicates that Borussia Dortmund sold Ousmane Dem",
"[{\"head\": \"Borussia Dortmund\", \"relation\": \"ORG_OF\",",
"Seller_Of\n\nExplanation:\nThe text states that Borussia Dortmund is",
"SOLD_TO",
"\"ORGANIZATION_OWNER\"\n\nExplanation:\nIn this",
"[{\"head\": \"Borussia Dortmund\", \"relation\": \"LOCATED_IN\",",
"\"ORG_OWNED_BY\"\n\nExplanation:\nThe text states",
"\"ORG_OWNER\"\n\nExplanation:\nIn the context provided,",
"Seller_Of\n\nExplanation:\nThe text states that Borussia Dortmund is",
"\"PAID_AMOUNT_FOR_TRANSFER\"",
"[{\"relation\": \"PRECEDED_BY\"}]\n\nExplanation:\n",
"NO_RELATION",
"NO_RELATION.\n\nThe text discusses two different transactions involving two different football players from",
"SOLD_TO",
"SOLD_TO",
"[{\"relation\": \"reported_by\"}]\n\nThis relation indicates that the Catalan",
"[{\"reported_by\": \"\"}]\n\nIf the entities provided in the input are the",
"SOLD_TO",
"Seller_Of\n\nExplanation:\nThe text states that Borussia Dortmund is",
"NO_RELATION.\n\nThe entities given are the same organization, Borussia Dortmund.",
"[{\"head\": \"Borussia Dortmund\", \"relation\": \"ORIGIN_FROM",
"\"PAID_AMOUNT\"",
"\"PAYMENT_RECEIVED\"",
"Seller_Of\n\nExplanation:\nThe text states that Borussia Dortmund is",
"NO_RELATION.\n\nThe text describes an agreement between Barcelona and Borussia Dortmund for",
"LOCATED_IN",
"\"PAID_AMOUNT\"",
"\"PAID_AMOUNT\"",
"SIGN_FROM",
"\"BELONGS_TO\"\n\nExplanation:\nThe text states that \"",
"LOCATED_IN",
"\"BELONGS_TO\"\n\nExplanation:\nThe text states that O",
"LOCATION_OF_HEAD_ENTITY_FOR_AGREEMENT\n\nRelation label",
"[{\"relation\": \"BELONGS_TO\", \"head_label\": \"GPE",
"[{\"relation\": \"nationality_of\"}]\n\nThis relation indicates that the head",
"[{\"head\": \"GPE\", \"tail\": \"NORP\", \"relation\": \"",
"\"PAID_AMOUNT_FOR_ENTITY\"\n\nor\n\n\"CO",
"[{\"relation\": \"HAS_PROPERTY\", \"property\": \"second_most_expensive\",",
"NO_RELATION. The entities provided do not have a relation based on the context given. The",
"NO_RELATION.\n\nThe text discusses two different transactions involving two different football players.",
"LOCATED_IN",
"NO_RELATION.\n\nThe text discusses Barcelona's agreement to sign Ousman",
"[{\"relation\": \"LOCATED_IN\"}]\n\nExplanation:\nThe text",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that the entity",
"LOCATED_IN",
"[{\"relation\": \"BELONGS_TO\"}]\n\nExplanation: In",
"LOCATION_OF\n\nExplanation:\nThe text mentions that Barcelona, located in",
"[{\"head\": \"GPE\", \"tail\": \"NORP\", \"relation\": \"",
"\"PAY_AMOUNT_FOR_ENTITY\"\n\nor\n\n\"PA",
"\"PAY_AMOUNT_FOR\"\n\nor\n\n\"COST\"\n",
"[{\"relation\": \"BELONGS_TO\"}]\n\nExplanation:\n",
"[{\"head\": \"Spain\", \"tail\": \"the weekend\", \"label\": \"LOC",
"SIGNED_BY",
"SIGNED_FROM",
"AGED_PERSON_OF\n\nExplanation:\nThe text mentions that O",
"SIGNED_BY",
"AGED_OF\n\n[{'head': ['32', '37', 'DATE",
"SIGNED_FROM",
"[{\"head\": \"20-year-old\", \"relation\": \"BELONGS",
"NO_RELATION. The entities provided do not have a relation based on the context given. The",
"SIGNED_BY",
"NO_RELATION.\n\nThe text discusses Barcelona's agreement to sign Ousman",
"[{\"reported_by\": \"REPORTED_BY\"}]\n\nThis text ment",
"SIGNED_BY",
"AGED_OF\n\n[{'head': ['32', '37', 'DATE",
"SIGNED_FROM",
"AGED_OF\n\n[{'head': ['32', '37', 'DATE",
"SIGNED_BY",
"\"PREVIOUS_ORG_OF\"",
"[{\"head\": \"Frenchman\", \"relation\": \"IS_TYPE_OF\", \"",
"SIGNED_BY",
"IS_A_FRENCHMAN_OF\n\nor\n\nIS_A_",
"\"PREVIOUS_ORG_OF\"",
"[{\"head\": \"Frenchman\", \"relation\": \"FROM\", \"tail\": \"Sp",
"NO_RELATION. In the given text, there is no clear relation mentioned between Ousman",
"SIGNED_BY",
"NO_RELATION.\n\nThe text discusses Barcelona signing Ousmane Dembele",
"[{\"relation\": \"REPORTED_BY\"}]",
"SIGNED_BY",
"[\"IS_A\", \"Frenchman\", \"Dembele\"]\nor\n[\"IS",
"\"PREVIOUS_ORG_OF\"",
"\"IS_FRENCHMAN_OF\"\n\nor\n\n\"FREN",
"BUYER_OF\n\nExplanation:\nThe head entity \"Barcelona\"",
"SIGNED_FROM",
"SIGNED_BY",
"\"OWNER\\_OF\"",
"SIGNED_BY",
"SIGNED_BY",
"[{\"head\": \"Spanish\", \"relation\": \"LOCATED_IN\", \"tail\":",
"NO_RELATION.\n\nThe text discusses the transfer of Ousmane Dembe",
"\"OWNER\\_OF\"",
"SOLD_TO",
"[{\"reported_by\": \"\"}]\n\nThis text does not directly provide enough context to",
"\"OWNER\\_OF\"",
"SIGNED_BY",
"SIGNED_BY",
"SIGNED_FOR",
"\"PAID_BY\"",
"\"PAID\"\n\nThis relation indicates that the head entity (MONEY) has paid",
"\"PAID_BY\"",
"\"PAID_BY\"",
"\"PAID_BY\"",
"PAID_BY",
"COSTS_GPE",
"COSTS\n\nExplanation:\nThe relation \"COSTS\" indicates that the",
"\"PAID_BY\"",
"SOLD_TO",
"CONFIRMED_THE_AGREEMENT_WITH\n\nExplanation:\nThe",
"\"PAID_BY\"",
"\"PAID_BY\"",
"PAID_BY",
"\"PAID_BY\"",
"\"SECOND_MOST_EXPENSIVE_BUYER_OF\"",
"\"PREVIOUSLY_OWNED_BY\"",
"\"SECOND_MOST_EXPENSIVE_FOOTBALLER\"",
"[{\"relation\": \"MOST_EXPENSIVE_FOR_ORG\"}]\n",
"\"IS_THE_SECOND_MOST_EXPENSIVE_FOOTBALL",
"\"PAID_BY\"",
"[{\"head\": \"second\", \"relation\": \"most_expensive_in\", \"tail",
"[{\"relation\": \"MORE_EXPENSIVE_THAN\"}]\n\nThis",
"[{\"relation\": \"MOST_EXPENSIVE_FOR_ORG\"}]\n",
"PREVIOUSLY_SOLD_TO",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that \"M",
"[{\"relation\": \"MOST_EXPENSIVE_FOR_ORG\"}]\n",
"[{\"label\": \"MOST_EXPENSIVE_FOR\", \"head\": \"second",
"\"PAID_BY\"",
"[{\"label\": \"MOST_EXPENSIVE_FOR\", \"head\": \"second",
"[{\"sold\": {\"head\": [\"0\", \"1\", \"ORG\", \"Bar",
"SOLD_FOR\n\nThis relation indicates that the head entity (MONEY with value €",
"\"PAID_FOR\"",
"\"PAID_BY\"",
"\"PAID_FOR\"",
"SOLD_FOR\n\nThis relation indicates that the head entity (MONEY with the value",
"[{\"relation\": \"PAY_COST_IN_GPE\"}]\n\nThis",
"[{\"seller\": [\"62\", \"63\", \"MONEY\", \"2",
"\"PAID_BY\"",
"\"PAID_BY\"",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that the entity",
"\"PAID_BY\"",
"\"PAID_FOR\"",
"SOLD_FOR\n\n[{'head': ['MONEY', '222'],",
"\"PAID_FOR\"",
"[{\"seller\": [\"64\", \"65\", \"PERSON\", \"Neym",
"NO_RELATION. In the given text, there is no direct relation mentioned between Neymar",
"NO_RELATION. The text describes Neymar being the most expensive footballer ever sold,",
"NO_RELATION.\n\nThe text discusses the transfer of Ousmane Dembe",
"[{\"seller\": [\"64\", \"65\", \"PERSON\", \"Neym",
"[{\"seller\": [\"64\", \"65\", \"PERSON\", \"Neym",
"PREVIOUSLY_SOLD_BY",
"Sold_by\n\nExplanation:\nThe text mentions that Neymar was",
"NO_RELATION.\n\nThe text mentions Neymar being sold to Paris Saint-",
"NO_RELATION. The entities provided do not have a relation based on the context given. Ne",
"NO_RELATION. The text does not provide enough context to establish a relation between Neymar",
"NO_RELATION.\n\nThe text discusses the transfer of Ousmane Dembe",
"COSTS\n\nExplanation:\nThe relation \"COSTS\" indicates that the",
"NO_RELATION. The entities in the text do not have a direct relation to each other in",
"NO_RELATION. The text describes Neymar being sold for €222m,",
"[{\"seller\": [\"64\", \"65\", \"PERSON\", \"Neym",
"[{\"seller\": [\"64\", \"65\", \"PERSON\", \"Neym",
"NO_RELATION.\n\nThe text discusses the transfer of Ousmane Dembe",
"NO_RELATION.\n\nThe text describes the agreement between Barcelona and Borussia Dortmund for",
"[{\"seller\": [\"64\", \"65\", \"PERSON\", \"Neym",
"[{\"seller\": [\"64\", \"65\", \"PERSON\", \"Neym",
"[{\"seller\": [\"64\", \"65\", \"PERSON\", \"Neym",
"NO_RELATION.\n\nThe text discusses the transfer of Ousmane Dembe",
"\"PAID\"\n\nThis relation indicates that Neymar was paid an initial €12",
"NO_RELATION.\n\nThe text mentions Neymar being the most expensive footballer",
"[{\"seller\": [\"64\", \"65\", \"PERSON\", \"Neym",
"NO_RELATION.\n\nThe text describes Neymar being sold to Paris Saint-G",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are identical:\n",
"\"PAID\":\n\nExplanation:\nThe text states that Barcelona has reached an agreement",
"\"PAID\"\n\nThis relation indicates that Barcelona has paid the money to complete the transfer of",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are the same:",
"BUYER_OF\n\nExplanation:\nThe text indicates that Barcelona is the entity",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"LOCATION_OF\n\n[{'head': ['71', '72', 'OR",
"[{\"head\": \"Barcelona\", \"relation\": \"OWNER_OF\", \"",
"SIGN_FOR\n\nExplanation:\nThe text states that Barcelona has reached an agreement to",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes Barcelona as being located",
"\"PAID\":\n\nExplanation:\nThe text states that Barcelona has reached an agreement",
"[{\"head\": \"Barcelona\", \"relation\": \"IS_second_most_exp",
"NO_RELATION. The entities provided do not have a relation based on the context given. The",
"NO_RELATION.\n\nThe text discusses two different transactions involving two different football clubs and",
"NO_RELATION.\n\nThe text discusses Barcelona's acquisition of Ousmane",
"NO_RELATION.\n\nEntities are not related in the given text.",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that Barcelona was",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"NO_RELATION.\n\nThe text discusses Barcelona and Borussia Dortmund, but there",
"\"PAID\":\n\nThis relation indicates that Barcelona has paid an initial €120 to",
"\"PAYS\": [\"Barcelona\", \"up to €30\"]",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"[{\"head\": \"Barcelona\", \"tail\": \"the weekend\", \"label\": \"",
"NO_RELATION.\n\nThe text discusses Barcelona signing Ousmane Dembele",
"NO_RELATION.\n\nThe text mentions Paris Saint-Germain and the number",
"NO_RELATION.\n\nThe text discusses Barcelona signing Ousmane Dembele",
"NO_RELATION.\n\nThe text discusses Barcelona's agreement to sign Ousman",
"NO_RELATION.\n\nThe text discusses Barcelona signing Dembele from Dortmund,",
"NO_RELATION.\n\nThe text discusses Barcelona signing Ousmane Dembele",
"NO_RELATION.\n\nThe text describes Barcelona buying Ousmane Dembele from",
"NO_RELATION.\n\nThe text discusses Barcelona's agreement to sign Ousman",
"NO_RELATION.\n\nThe text discusses Barcelona's agreement to sign Ousman",
"NO_RELATION.\n\nThe text does not provide any information about a relation between \"Par",
"NO_RELATION.\n\nThe text discusses Barcelona signing Ousmane Dembele",
"NO_RELATION.\n\nThe text discusses Barcelona's agreement to sign Ousman",
"\"PAID_AMOUNT_FOR_TRANSFER\"",
"NO_RELATION.\n\nThe text mentions Paris Saint-Germain being the club",
"NO_RELATION. The entities provided do not have a relation based on the context given. The",
"NO_RELATION.\n\nThe text discusses Barcelona's acquisition of Ousmane",
"NO_RELATION.\n\nThe text discusses Barcelona's acquisition of Ousmane",
"NO_RELATION.\n\nThe text discusses Barcelona's agreement to sign Ousman",
"NO_RELATION",
"NO_RELATION.\n\nThe text discusses Barcelona's acquisition of Ousmane",
"NO_RELATION.\n\nThe text discusses Barcelona signing Dembele from Dortmund,",
"NO_RELATION.\n\nThe text discusses Barcelona's agreement to sign Ousman",
"NO_RELATION.\n\nThe text discusses Barcelona's agreement to sign Ousman",
"PAID_AMOUNT\n\nThis relation indicates that Paris Saint-Germain paid an",
"NO_RELATION.\n\nThe text mentions Paris Saint-Germain and an amount",
"NO_RELATION.\n\nThe text discusses Barcelona signing Dembele from Dortmund,",
"NO_RELATION.\n\nThe text mentions Paris Saint-Germain and the weekend",
"\"ORG_OWNER\"",
"SOLD_BY",
"[{\"relation\": \"AGREE_TO_SIGN\"}]",
"[{\"head\": \"Catalan\", \"relation\": \"belongs_to\", \"tail",
"\"ORG_OWNER_OF_PERSON\"",
"AGREE_SELLOR_OF\n\nExplanation:\nThe text states that \"",
"[{\"head\": \"Catalan\", \"relation\": \"LOCATED_IN\", \"tail",
"NO_RELATION.\n\nThe text discusses the transfer of Ousmane Dembe",
"[{\"head\": \"Catalan\", \"relation\": \"belongs_to\", \"tail",
"NO_RELATION.\n\nThe text discusses Barcelona's agreement to sign Ousman",
"[{\"reported_by\": \"\"}]\n\nThis text does not directly provide enough context to",
"[{\"relation\": \"LOCATED_IN\"}]\n\nExplanation:\nThe text",
"[{\"relation\": \"belongs_to\"}]\n\nExplanation: In this context",
"SIGNED_BY",
"[{\"relation\": \"agrees_to_sign\"}]\n\nThis relation indicates that the",
"[{\"label\": \"REPORTED_BY\"}]\n\nThis relation indicates that \"M",
"\"REPORTED_SALE_PRICE\"",
"[{\"label\": \"REPORTED_THE_SALE_OF_MONEY\"",
"[{\"reported_by\": \"NO_RELATION\"}]\n\n[{\"confirmed",
"[{\"label\": \"REPORTED_BY\"}]\n\nThis relation indicates that Mundo",
"[{\"label\": \"REPORTED_BY\"}]\n\nThis relation indicates that Mundo",
"reported_about\n\nExplanation:\nThe entity 'Mundo Deportivo'",
"[{\"reported_by\": \"NO_RELATION\"}]\n\n[{\"confirmed",
"[{\"relation\": \"REPORTED_IN\"}]\n\nThis relation indicates that Mundo",
"NO_RELATION.\n\nThe entities provided do not have a clear relation based on the context",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that the entity",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that the entity",
"\"REPORTED_SALARY_OR_VALUE\"",
"[{\"relation\": \"Reported_Second_Most_Expensive\"}]\n\nOr,",
"NO_RELATION. The entities provided do not have a relation based on the context in the text",
"NO_RELATION. In the given text, there is no relation mentioned between 'Mundo De",
"[{\"label\": \"REPORTED_BY\"}]\n\nThis relation indicates that \"M",
"NO_RELATION.\n\nThe text discusses Barcelona's agreement to sign Ousman",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that \"M",
"[{\"label\": \"REPORTED_BY\"}]\n\nThis relation indicates that Mundo",
"[{\"label\": \"REPORTED_BY\"}]\n\nThis relation indicates that \"M",
"[{\"reported_by\": \"\"}]\n\nIf the text mentions that \"Mundo",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"\"REPORTED_SALE_PRICE\"",
"\"REPORTED_SALARY\"",
"[{\"label\": \"REPORTED_BY\"}]\n\nThis relation indicates that Mundo",
"[{\"head\": \"Mundo Deportivo\", \"tail\": \"the weekend\", \"label",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are identical:\n",
"\"PAID\":\n\nExplanation:\nThe text states that Barcelona has reached an agreement",
"\"PAID\"\n\nExplanation:\nThe text states that Barcelona has reached an agreement",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"BUYER_OF\n\nExplanation:\nIn the context provided, Barcelona is the",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"[{\"relation\": \"LOCATED_IN\"}]\n\nOr, since the text mentions",
"[{\"relation\": \"OWNER_OF\"}]\n\nExplanation: In this",
"SIGN_FOR\n\nExplanation:\nThe text states that Barcelona has reached an agreement to",
"[{\"relation\": \"LOCATED_IN\"}]\n\nExplanation:\nThe text",
"\"PAID\"\n\nThis relation indicates that Barcelona has paid around €150 to acquire",
"[{\"relation\": \"HEAD_IS_SECOND_MOST_EXPENSIVE_",
"NO_RELATION. The entities provided do not have a relation based on the context given. The",
"NO_RELATION.\n\nThe text mentions Neymar being the most expensive footballer",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"NO_RELATION.\n\nThe text discusses Barcelona signing Ousmane Dembele",
"NO_RELATION.\n\nEntities are not related in the given text.",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that Barcelona was",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"\"PAID\":\n\nThis relation indicates that Barcelona has paid an initial €120 to",
"\"PAYS\"\n\nThis relation signifies that Barcelona pays up to €30 as",
"BUYER_OF\n\nExplanation:\nThe text states that Barcelona has reached an",
"[{\"head\": \"Barcelona\", \"relation\": \"UNVEIL\", \"tail\":",
"\"SIGNED_BY\"",
"\"PAID_AMOUNT\"",
"\"PAID_AMOUNT\"",
"SOLD_BY",
"NO_RELATION (The text does not provide any information about a relation between the mentioned entities in",
"\"PLAYER\\_OF\"",
"[\"IS_NAME_OF\"] # or [\"IS_IDENTIFIED_AS\"] for more",
"SOLD_BY",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"AGES_OF_ENTITIES\n\nRelation:\nAGE_DIFFERENCE",
"[{\"relation\": \"is_a\"}]\n\nOr, since the text mentions \"",
"[{\"relation\": \"nationality_of\", \"head\": \"Dembele\", \"",
"COSTS\n\nExplanation:\nThe relation between Dembele (head) and",
"[{\"relation\": \"MOST_EXPENSIVE_BEFORE\"}]\n\nThis",
"NO_RELATION. The entities provided do not have a relation in the given text. The first",
"PRECEDED_BY_IN_TERMS_OF_COST",
"\"PLAYER\\_OF\"",
"NO_RELATION.\n\nThe text discusses Barcelona signing Dembele from Dortmund,",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that Mundo",
"\"PLAYER\\_OF\"",
"SOLD_BY",
"NO_RELATION.\n\nThe text does not provide any information about a relation between \"Dem",
"COSTS",
"\"PAYS\"\n\nThis relation represents that Barcelona pays up to €30 to Dem",
"NO_RELATION (Since the entities are the same, there is no relation in this context.)",
"[{\"relation\": \"Will_be_presented_on\"}]\n\nThis relation indicates",
"SOLD_TO",
"SOLD_FOR\n\nThis relation indicates that Borussia Dortmund sold Ousmane Dem",
"SOLD_FOR\n\nThis relation indicates that Borussia Dortmund sold Ousmane Dem",
"[{\"head\": \"Borussia Dortmund\", \"relation\": \"ORG_OF\",",
"Seller\n\nRelation:\n[{\"relation\": \"seller_of\", \"head",
"SOLD_TO",
" seller\n\nSo the relation label between Borussia Dortmund (head) and Ousmane",
"NO_RELATION. In the given text, \"Borussia Dortmund\" is mentioned twice",
"LOCATION_OF\n\nExplanation:\nThe text states that Borussia Dortmund is",
"\"CLUB_OF_PLAYER\"",
"\"CLUB_OF_PLAYER\"",
"SOLD_TO",
"\"PAID\"\n\nThis relation indicates that Borussia Dortmund has been paid around €1",
"[{\"relation\": \"PRECEDES_BY_COST_ORDINAL\"}]",
"NO_RELATION.\n\nThe text mentions the transfer fees of two different players, but",
"NO_RELATION.\n\nThe text mentions Borussia Dortmund selling Neymar to",
"SOLD_TO",
"SOLD_TO",
"[{\"relation\": \"INFORMATION_SOURCE\"}]\n\nExplanation:\nThe",
"[{\"reported_by\": \"\"}]\n\nIf the text explicitly states that \"Mundo",
"SOLD_TO",
"Seller_Of\n\nExplanation:\nThe text states that Borussia Dortmund is",
"[{\"head\": \"Borussia Dortmund\", \"relation\": \"ORG_LOCATION",
"\"PAID\"",
"\"PAYMENT_RECEIVED\"",
"Seller_Of\n\nExplanation:\nThe text states that Borussia Dortmund is",
"NO_RELATION.\n\nThe text describes an agreement between Barcelona and Borussia Dortmund for",
"\"AGREE_SELLER\"",
"[{\"head\": \"German\", \"tail\": \"Dortmund\", \"relation\": \"",
"[{\"head\": \"German\", \"relation\": \"CLUB_OF\", \"tail\":",
"SOLD_BY",
"\"ORIGIN_FROM\"",
"\"CLUB_SOLD_PLAYER\"",
"[{\"head\": \"German\", \"tail\": \"Spain\", \"relation\": \"LOC",
"NO_RELATION.\n\nThe text discusses the transfer of Ousmane Dembe",
"SOLD_BY",
"SOLD_TO",
"[{\"relation\": \"REPORTED_BY\"}]",
"SOLD_BY",
"[{\"relation\": \"CLUB_OF\"}]\n\nThis relation indicates that Dembele",
"PREVIOUSLY_BELONGED_TO",
"\"CLUB_TRANSFER_FROM\"",
"\"PAYED_MONEY_FOR\"",
"PAID_BY",
"\"PAYS_FOR\"",
"\"PAYS\": [\"an initial €120\", \"Barcelona\"]",
"\"PAYS_FOR\"",
"PAID_BY",
"\"PAY_FROM_LOCATION\"",
"\"PAID_MORE_FOR\"",
"\"PAYS\": [\"an initial €120\", \"Barcelona\"]",
"BUYER_OF\n\nExplanation:\nThe head entity represents the amount of money",
"CONFIRMED_REPORT\n\n[Explanation: The relation between the entities is",
"\"PAYS\": [\"MONEY\", \"ORG\"]",
"\"PAYS_FOR\"",
"PAID_BY",
"\"PAYS_FOR\"",
"\"PAID_BY\"",
"PAID_BY",
"\"PAID_BY\"",
"\"PAID_BY\"",
"\"PAID_BY\"",
"PAID\n\nThis relation indicates that the head entity (MONEY) has paid the tail",
"COSTS_GPE",
"\"PAID_FOR\"",
"PAID_BY",
"BUYER_OF\n\nExplanation:\nThe head entity is \"MONEY",
"CONFIRMED_REPORTED_BY",
"PAID_BY",
"\"PAID_BY\"",
"PAID\n\nThis relation indicates that the head entity (MONEY) has paid the tail",
"\"PAYMENT_RECEIVED\"",
"\"SIGNED_BY\"",
"COSTS\n\nExplanation:\nThe relation \"COSTS\" indicates that the",
"\"PAID\"\n\nThis relation indicates that the head entity (Dembele) has paid",
"SOLD_BY",
"NO_RELATION (Since the entities are the same, there is no relation in this context.)",
"\"SIGNED_BY\"",
"[\"IS_NAME_OF\"] # or [\"IS_IDENTIFIED_AS\"] for more",
"SOLD_BY",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"AGES_OF_PERSONS\n\nRelation:\n\"AGE_DIFFERENCE",
"[{\"relation\": \"IS_A\"}]\n\nOr, since the text mentions \"",
"[{\"relation\": \"nationality_of\", \"head\": \"Dembele\", \"",
"COSTS",
"[{\"relation\": \"MOST_EXPENSIVE_THAN\"}]\n\nThis",
"NO_RELATION. The entities provided do not have a relation in the given text. The first",
"PRECEDED_BY_IN_TERMS_OF_COST",
"\"SIGNED_BY\"",
"NO_RELATION.\n\nThe text mentions Paris Saint-Germain in relation to",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that Mundo",
"\"SIGNED_BY\"",
"NO_RELATION (Since the entities are the same, there is no relation in this context)",
"SOLD_BY",
"AGREEMENT_WITH\n\nExplanation:\nThe text states that Ousmane",
"COSTS",
"\"PAYS\"\n\nThis relation indicates that Dembele's new team, Barcelona",
"[{\"label\": \"Will_be_presented\", \"head\": \"Dembele\",",
"[{\"label\": \"UNVEILING\"}]",
"NO_RELATION.\n\nThe text describes Barcelona reaching an agreement to sign Ousmane",
"[{\"relation\": \"WILL_BE_UNVEILED_ON\"}]",
"[{\"relation\": \"WILL_UNVEIL\"}]",
"[{\"relation\": \"WILL_BE_UNVEILED_ON\"}]",
"NO_RELATION.\n\nThe text describes Barcelona reaching an agreement to sign Ousmane",
"[{\"head\": \"GPE\", \"tail\": \"GPE\", \"label\": \"LOC",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"WILL_BE_PRESENTED_BY\"}]\n\n",
"NO_RELATION.\n\nThe text mentions Paris Saint-Germain in relation to",
"[{\"reported_by\": \"NO_RELATION\"}]\n\n[{\"confirmed",
"[{\"relation\": \"WILL_BE_PRESENTED_BY\"}]\n\n",
"[{\"label\": \"UNVEILING\"}]",
"NO_RELATION.\n\nThe text describes an agreement between Barcelona and Borussia Dortmund regarding",
"[{\"label\": \"UNVEILING\"}]"
] | [
[
"0",
"1",
"ORG",
"Barcelona"
],
[
"3",
"4",
"MONEY",
"150"
],
[
"4",
"5",
"MONEY",
"m"
],
[
"6",
"7",
"ORG",
"Dortmund"
],
[
"9",
"10",
"PERSON",
"Dembele"
],
[
"11",
"12",
"ORG",
"Barcelona"
],
[
"18",
"20",
"PERSON",
"Ousmane Dembele"
],
[
"21",
"23",
"ORG",
"Borussia Dortmund"
],
[
"28",
"29",
"GPE",
"Spain"
],
[
"32",
"37",
"DATE",
"20-year-old"
],
[
"37",
"38",
"NORP",
"Frenchman"
],
[
"41",
"42",
"NORP",
"Spanish"
],
[
"43",
"46",
"MONEY",
"around €150"
],
[
"53",
"54",
"ORDINAL",
"second"
],
[
"62",
"63",
"MONEY",
"222"
],
[
"64",
"65",
"PERSON",
"Neymar"
],
[
"71",
"72",
"ORG",
"Barcelona"
],
[
"73",
"77",
"ORG",
"Paris Saint-Germain"
],
[
"79",
"80",
"NORP",
"Catalan"
],
[
"81",
"83",
"ORG",
"Mundo Deportivo"
],
[
"85",
"86",
"ORG",
"Barcelona"
],
[
"97",
"98",
"PERSON",
"Dembele"
],
[
"99",
"101",
"ORG",
"Borussia Dortmund"
],
[
"108",
"109",
"NORP",
"German"
],
[
"128",
"132",
"MONEY",
"an initial €120"
],
[
"134",
"138",
"MONEY",
"up to €30"
],
[
"145",
"146",
"PERSON",
"Dembele"
],
[
"152",
"154",
"DATE",
"the weekend"
]
] | 261 |
263 | [
"No Time to Die Trailer is Finally Here - What to Expect from Bond 25\nBond 25 dropped its first trailer.\nCharlize Theron Becomes an Immortal Superhero\nTrailer for the movie: The Old Guard.\n7 TV Shows Which Went on for Too Long\nTV productions which started out strong but ended on a weak note.\nHow The Witcher Can Beat Game of Thrones\nCan the catastrophic finale of GOT pave the way for The Witcher's success?.\nSurprising Facts You Overlooked in 'Shang-Chi and the Legend of the Ten Rings'\nSurprising Facts You Overlooked in 'Shang-Chi and the Legend of the Ten Rings'."
] | [
[
"No",
"Time",
"to",
"Die",
"Trailer",
"is",
"Finally",
"Here",
"-",
"What",
"to",
"Expect",
"from",
"Bond",
"25",
"\n",
"Bond",
"25",
"dropped",
"its",
"first",
"trailer",
".",
"\n",
"Charlize",
"Theron",
"Becomes",
"an",
"Immortal",
"Superhero",
"\n",
"Trailer",
"for",
"the",
"movie",
":",
"The",
"Old",
"Guard",
".",
"\n",
"7",
"TV",
"Shows",
"Which",
"Went",
"on",
"for",
"Too",
"Long",
"\n",
"TV",
"productions",
"which",
"started",
"out",
"strong",
"but",
"ended",
"on",
"a",
"weak",
"note",
".",
"\n",
"How",
"The",
"Witcher",
"Can",
"Beat",
"Game",
"of",
"Thrones",
"\n",
"Can",
"the",
"catastrophic",
"finale",
"of",
"GOT",
"pave",
"the",
"way",
"for",
"The",
"Witcher",
"'s",
"success",
"?",
".",
"\n",
"Surprising",
"Facts",
"You",
"Overlooked",
"in",
"'",
"Shang",
"-",
"Chi",
"and",
"the",
"Legend",
"of",
"the",
"Ten",
"Rings",
"'",
"\n",
"Surprising",
"Facts",
"You",
"Overlooked",
"in",
"'",
"Shang",
"-",
"Chi",
"and",
"the",
"Legend",
"of",
"the",
"Ten",
"Rings",
"'",
"."
]
] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["No Time to Die Trailer is Finally Here - What to Expect from Bond 25\nBond 25 dropped its first trailer.\nCharlize Theron Becomes an Immortal Superhero\nTrailer for the movie: The Old Guard.\n7 TV Shows Which Went on for Too Long\nTV productions which started out strong but ended on a weak note.\nHow The Witcher Can Beat Game of Thrones\nCan the catastrophic finale of GOT pave the way for The Witcher's success?.\nSurprising Facts You Overlooked in 'Shang-Chi and the Legend of the Ten Rings'\nSurprising Facts You Overlooked in 'Shang-Chi and the Legend of the Ten Rings'."]
Entities:
[{'head': ['0', '4', 'WORK_OF_ART', 'No Time to Die'], 'tail': ['24', '26', 'PERSON', 'Charlize Theron']}]
Relation:
[/INST]
| [
[
{
"head": [
"0",
"4",
"WORK_OF_ART",
"No Time to Die"
],
"tail": [
"24",
"26",
"PERSON",
"Charlize Theron"
]
}
],
[
{
"head": [
"13",
"15",
"WORK_OF_ART",
"Bond 25"
],
"tail": [
"24",
"26",
"PERSON",
"Charlize Theron"
]
}
],
[
{
"head": [
"16",
"18",
"WORK_OF_ART",
"Bond 25"
],
"tail": [
"24",
"26",
"PERSON",
"Charlize Theron"
]
}
],
[
{
"head": [
"20",
"21",
"ORDINAL",
"first"
],
"tail": [
"24",
"26",
"PERSON",
"Charlize Theron"
]
}
],
[
{
"head": [
"24",
"26",
"PERSON",
"Charlize Theron"
],
"tail": [
"0",
"4",
"WORK_OF_ART",
"No Time to Die"
]
}
],
[
{
"head": [
"24",
"26",
"PERSON",
"Charlize Theron"
],
"tail": [
"13",
"15",
"WORK_OF_ART",
"Bond 25"
]
}
],
[
{
"head": [
"24",
"26",
"PERSON",
"Charlize Theron"
],
"tail": [
"16",
"18",
"WORK_OF_ART",
"Bond 25"
]
}
],
[
{
"head": [
"24",
"26",
"PERSON",
"Charlize Theron"
],
"tail": [
"20",
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"A Tyler ShawChristmas Tour"
],
"tail": [
"0",
"2",
"PERSON",
"Tyler Shaw"
]
}
],
[
{
"head": [
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
],
"tail": [
"5",
"6",
"ORG",
"iHeartRadio"
]
}
],
[
{
"head": [
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
],
"tail": [
"7",
"9",
"PERSON",
"Shannon Burns"
]
}
],
[
{
"head": [
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
],
"tail": [
"24",
"26",
"PERSON",
"Tyler Shaw"
]
}
],
[
{
"head": [
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
],
"tail": [
"27",
"28",
"PERSON",
"Shannon"
]
}
],
[
{
"head": [
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
],
"tail": [
"46",
"47",
"PERSON",
"Tyler"
]
}
],
[
{
"head": [
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
],
"tail": [
"52",
"55",
"PERSON",
"Tom Petty's"
]
}
],
[
{
"head": [
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
],
"tail": [
"72",
"74",
"PERSON",
"Tyler Shaw"
]
}
],
[
{
"head": [
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
],
"tail": [
"75",
"76",
"PERSON",
"Shannon"
]
}
],
[
{
"head": [
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
],
"tail": [
"82",
"84",
"PERSON",
"Michael Bublé"
]
}
],
[
{
"head": [
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
],
"tail": [
"89",
"91",
"PERSON",
"Tyler Shaw"
]
}
],
[
{
"head": [
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
],
"tail": [
"92",
"93",
"PERSON",
"Shannon"
]
}
],
[
{
"head": [
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
],
"tail": [
"115",
"117",
"PERSON",
"Tyler Shaw"
]
}
]
] | [
"INTERVIEWS_WITH\n\n[{'head': ['0', '2', 'PER",
"INTERVIEWS_HOST\n\n[Reference: The given text describes Tyler Shaw interviewing Sh",
"NO_RELATION",
"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
"IDENTICAL",
"COVERED_BY",
"\"PERforms_music_piece\"",
"COLABORATOR",
"[\"COVERED_BY\"]",
"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions Tyler",
"INTERVIEWS_HOST",
"[\"HAS_PRODUCT\"]",
"[\"SENDS_DM\"]",
"NO_RELATION",
"INTERVIEWS_HOST\n\n[Reference: The given text describes Tyler Shaw interviewing Sh",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"[\"IS_PART_OF\"]",
"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
"INTERVIEWS_HOST\n\n[{'head': ['5', '6', 'OR",
"INTERVIEWS_HOST\n\nThis text describes an interview between Tyler Shaw and iHeart",
"INTERVIEWS_HOST\n\n[{'head': ['5', '6', 'OR",
"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
"DISCOVERED_COVER_OF",
"DISCUSSED_WORK_OF_ART",
"COLABORATION",
"DISCUSSED_WORK\n\nThis relation indicates that the head entity (iHeartRadio",
"INTERVIEWS_HOST\n\nThis text describes an interview between Tyler Shaw and iHeart",
"INTERVIEWS_HOST\n\n[{'head': ['5', '6', 'OR",
"[\"ORG_PRODUCES\"]\n\nExplanation:\nThe text mentions",
"[\"SENDS\"]",
"INTERVIEWS_HOST\n\nThis text describes an interview between Tyler Shaw and iHeart",
"INTERVIEWS_HOST\n\n[{'head': ['5', '6', 'OR",
"INTERVIEWS_HOST\n\nSo based on the context, the relation between iHeart",
"[\"IS_PART_OF\"]",
"INTERVIEWS_HOST_GUEST",
"INTERVIEWS_HOST_OF\n\nExplanation:\nThe text describes Shannon",
"INTERVIEWS_HOST_GUEST",
"INTERVIEWER\n\nThis text describes an interview between Tyler Shaw and Shannon Burns.",
"INTERVIEWS_HOST_GUEST",
"[\"MENTIONED_IN\"]\n\nExplanation:\nIn the context provided, \"",
"DISCUSSES\n\nThis relation means that Shannon Burns and Tyler Shaw had a conversation",
"[\"CANADIAN\": {\"role\": \"collab\"}]\n\nOr, if you",
"DISCUSSED_COLLABORATION",
"INTERVIEWS_HOST_GUEST",
"INTERVIEWS_HOST\n\n[{'head': ['7', '9', 'PER",
"[\"SENDS\"]",
"[\"SENDS_DM\"]",
"INTERVIEWS_HOST_GUEST",
"INTERVIEWS_HOST\n\n[{'head': ['7', '9', 'PER",
"INTERVIEWS_HOST_GUEST",
"\"IS_CURRENTLY_HAPPENING\"",
"NO_RELATION",
"INTERVIEWS_WITH\n\n[{'head': ['24', '26',",
"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"COVERED_BY",
"\"PERforms_music_piece\"\n\nExplanation:\nIn the context provided",
"[{\"relation\": \"collab_with\"}]\n\nThis text describes Tyler Shaw collaborating",
" [\"COVERED_BY\"]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
"[\"HAS_TYPE_OF_CLUB\", \"sends\", \"TYLER_SH",
"[\"SENDS_DM\"]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"[\"IS_CURRENTLY_HAPPENING\"]\n\nExplanation:\nThe text",
"INTERVIEWS_HOST_INTERVIEWS_GUEST",
"INTERVIEWS_HOST\n\nSo based on the context, the relation between Shannon (",
"[\"INTERACTED_WITH\"]",
"INTERVIEWS_HOST_INTERVIEWS_GUEST",
"INTERVIEWS_HOST_GUEST",
"[\"MENTIONED_IN\"]\n\nExplanation:\nIn the given text, \"",
"DISCUSSES\n\nThis means that Shannon discusses or talks about Tyler Shaw's",
"[{\"relation\": \"collaborator\"}]\n\nOr, if you prefer a more specific",
"DISCUSSED_COLLABORATION",
"INTERVIEWS_HOST_GUEST",
"[\"INTERACTED_WITH\"]",
"[\"SENDS\"]",
"[\"SENDS_DM\"]",
"INTERVIEWS_HOST_GUEST",
"[\"INTERVIEWER\"]",
"INTERVIEWS_HOST_GUEST",
"\"IS_CURRENTLY_HAPPENING\"",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"INTERVIEWS_WITH\n\nExplanation:\nThe text describes Tyler Shaw sitting down",
"INTERVIEWS_HOST\n\n[Explanation: In the context provided, Tyler Shaw",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
"COVERED_BY",
"\"PERforms_music_piece\"\n\nThis relation indicates that Tyler is the performer",
"COLABORATOR",
"[\"COVERED_BY\"]",
"[\"SELF_REFERENCE\"]\n\nExplanation:\nThe text mentions \"",
"INTERVIEWS_HOST\n\n[Reference: The given text describes an interview between Tyler Shaw",
"[\"HAS_CLUB\"]\n\nExplanation:\nThe text mentions that Tyler Shaw",
"[\"SENDS_DM\"]",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# For self-reference",
"INTERVIEWS_HOST\n\n[Explanation: In the context provided, Tyler is",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
" [\"IS_CURRENTLY_HOLDING\"]\n\n Explanation:\n In the context",
"COVERED_BY",
"DISCUSSION_WITH",
"DISCUSSED_ABOUT",
"COVERED_BY",
"DISCUSSED_ABOUT",
"COVERED_BY",
"[\"COVERED_BY\"]",
"COLLABORATION",
"COVERED_BY",
"COVERED_BY",
"DISCUSSED_ABOUT\n\nExplanation:\nThe text mentions that Tyler",
"[\"MENTIONED_IN\"]\n\nExplanation:\nIn the context provided, Tom",
"[\"SENDS_DM\"]",
"COVERED_BY",
"DISCUSSED_ABOUT",
"COVERED_BY",
"[\"IS_PART_OF\"]",
"SINGS\n\n[{'head': ['56', '60', 'WORK_OF",
"DISCUSSION_TOPIC",
"DISCUSSED_WITH",
"SINGS_SONG",
"DISCUSSES",
"SINGS_SONG",
"COVERED_BY",
"SINGS_SONG",
"DISCUSSES",
"Sentiment_Analysis: \"The text describes Tyler Shaw sending a festive DM to Michael Bubl",
"SINGS_SONG",
"DISCUSSED_WITH",
"SINGER_OF\n\n[{'head': ['56', '60', 'WORK",
"CANADIAN_COLLABORATOR",
"INTERVIEWS_HOST\n\nExplanation:\nThe text describes Tyler Shaw sitting down",
"INTERVIEWS_HOST\n\nSo based on the context, the relation between the entities is",
"CANADIAN_COLLABORATOR",
"INTERVIEWS_HOST\n\nConfidence: 100%",
"CANADIAN_COLLABORATOR",
"COVERED_BY",
"CANADIAN_COLLABORATOR",
"INTERVIEWS_HOST\n\nConfidence: 100%",
"[\"SENDS_DM\"]",
"CANADIAN_COLLABORATOR",
"INTERVIEWS_HOST\n\nConfidence: 100%",
"CANADIAN_COLLABORATOR",
"COLABORATOR",
"DISCUSS_WITH",
"DISCUSSANT_OF\n\nExplanation:\nIn the context provided, Tyler Shaw",
"COLAB_WITH",
"DISCUSS_TOPIC\n\nExplanation:\nIn the context provided, Tyler Shaw",
"COLAB_WITH",
"COVERED_BY",
"COLAB_WITH",
"DISCUSS_WITH",
"Sentiment_Analysis\n\"sentiment\" : \"neutral\"\n\nRelation:\n",
"COLAB_WITH",
"DISCUSS_TOPIC",
"COLABORATOR",
"NO_RELATION",
"INTERVIEWS_HOST\n\n[{'head': ['72', '74',",
"INTERVIEWS_HOST\n\n[Reference: The given text describes Tyler Shaw interviewing Sh",
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"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
"SELF_REFERENCE",
"COVERED_BY",
"\"PERforms_music_piece\"\n\nThis relation indicates that Tyler Shaw performs the music",
"[{\"relation\": \"COLLABORATOR_OF\"}]\n\nThis relation indicates that",
" [\"COVERED_BY\"]",
"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
" [\"HAS_TYPE_OF_CLUB\", \"Tyler Shaw\", \"Whiskey\"]",
"[\"SENDS_DM\"]",
"NO_RELATION",
"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
"NO_RELATION",
" [\"TOUR_OF_HEAD_BY_TAIL\"]\n\nExplanation:\n",
"INTERVIEWS_HOST_GUEST",
"INTERVIEWS_HOSTED_BY",
"INTERVIEWS_HOST\n\n[{'head': ['75', '76',",
"INTERVIEWS_HOST_GUEST",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"INTERVIEWS_HOST_GUEST",
"[\"MENTIONED_IN\"]\n\nExplanation:\nIn the context provided, \"",
"DISCUSSES\n\nThis means that Shannon discusses or talks about Tyler Shaw's",
"[{\"relation\": \"collab_with\"}]\n\nThis text describes Shannon (head",
"NO_RELATION.\n\nIn this text, there is no clear relation between Shannon and",
"INTERVIEWS_HOST_GUEST",
"[\"SENDS\"]",
"[\"SENDS_DM\"]",
"INTERVIEWS_HOST_GUEST",
"[\"INTERACTED_WITH\"]",
"INTERVIEWS_HOST_GUEST",
"[\"IS_CURRENTLY_HAPPENING\"]\n\nExplanation:\nThe text",
"Sender_of_DM\n\nExplanation:\nThe text mentions that Tyler Shaw sends",
"[\"SENDS\"]",
"Sent the_DM_to\n\nExplanation:\nIn the context, Tyler Shaw sends",
"Sender_of_DM\n\nExplanation:\nIn the context, Tyler Shaw sends a",
"Sent the_DM_to\n\nHead: Whiskey (PRODUCT)\nTail",
"Sender_of_DM\n\nExplanation:\nIn the context, Tyler Shaw sends a",
"COVERS",
"Sender_of_DM\n\nExplanation:\nIn the context, Tyler Shaw sends a",
"Sent the_DM_to\n\nExplanation:\nIn the context, Tyler Shaw sends",
"[\"SENDS\"]",
"Sent the_DM_to\n\nHead: [78, 79, \"PRO",
"Sent the_DM_to\n\nExplanation:\nIn the context, Tyler Shaw sends",
"Sender_of_DM\n\nExplanation:\nIn the context, Tyler Shaw sends a",
"[\"SENDS_DM\"]",
"[\"SENDS_DM\"]",
"[\"SENDS_DM\"]",
"[\"SENDS_DM\"]",
"[\"SENDS_DM\"]",
"[\"SENDS_DM\"]",
"[\"MENTIONED_IN\"]",
"Sentiment Analysis: The text expresses a festive and cheerful atmosphere with Tyler Shaw discussing various",
"[\"SENDS_DM\"]",
"\"SENDS\"",
"[\"SENDS_DM\"]",
"[\"SENDS_DM\"]",
" [\"SENDS\"]",
" [\"SENDS_DM\"]",
"[\"SENDS_DM\"]",
"[\"SENDS_DM\"]",
"\"MENTIONED_IN\"",
"NO_RELATION",
"INTERVIEWS_HOST\n\n[{'head': ['89', '91',",
"INTERVIEWS_HOST\n\n[Explanation: In the context provided, Tyler Shaw",
"NO_RELATION",
"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
" self_reference\n\n Explanation:\n The text mentions \"Tyler Shaw\" multiple",
"COVERED_BY",
"\"PERFORMED\"\n\nThis relation indicates that Tyler Shaw performed the work \"Christmas All",
"[{\"relation\": \"COLLABORATOR_OF\"}]\n\nThis relation indicates that",
"COVERED_BY",
"NO_RELATION",
"INTERVIEWS_HOST\n\n[For context, INTERVIEWS_HOST is",
"[\"HAS_CLUB\", \"send\"]\n\nExplanation:\nIn the context,",
"[\"SENDS_DM\"]",
"INTERVIEWS_HOST\n\n[Explanation: In the context provided, Tyler Shaw",
"NO_RELATION",
"\"TOUR_OF_HEAD_IS_OF_TAIL\"",
"INTERVIEWS_HOST_GUEST",
"INTERVIEWS_HOSTED_BY",
"INTERVIEWS_HOST\n\n[{'head': ['92', '93',",
"INTERVIEWS_HOST_GUEST",
"[\"INTERACTED_WITH\"]",
"INTERVIEWS_HOST_GUEST",
"[{\"relation\": \"MENTIONED_BY\"}]\n\nOr, since the text ment",
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"[{\"relation\": \"collab_with\"}]\n\nThis text describes Shannon (head",
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"INTERVIEWS_HOST_GUEST",
"[\"INTERACTED_WITH\"]",
"[\"SENDS\"]",
"[\"SENDS_DM\"]",
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"INTERVIEWS_HOST_GUEST",
"\"IS_CURRENTLY_HAPPENING\"",
"NO_RELATION",
"INTERVIEWS_WITH\n\nOr, if you prefer a more traditional format:\n{",
"INTERVIEWS_HOST\n\n[Explanation: In the context provided, Tyler Shaw",
"NO_RELATION",
"INTERVIEWS_HOST\n\n[Explanation: In the context provided, Tyler Shaw",
" self_reference\n\nNote: In this context, \"Tyler Shaw\" and \"Tyler",
"COVERED_BY",
"\"PERforms_music_piece\"\n\nExplanation:\nIn the context provided",
"[{\"relation\": \"COLLABORATOR_OF\"}]\n\nThis relation indicates that",
"[\"COVERED_BY\"]",
"NO_RELATION",
"INTERVIEWS_HOST\n\n[Explanation: In the context provided, Tyler Shaw",
"[\"HAS_PRODUCT\"]",
"[\"SENDS_DM\"]",
"NO_RELATION",
"INTERVIEWS_HOST\n\n[Explanation: In the context provided, Tyler Shaw",
"[\"TOUR_OF_HEAD_IS_OF_TAIL\"]\n\nExplanation",
"TOUR_OF_HEAD_PERforms_TOUR_OF_TAIL",
"[\"TOUR_HOSTED_BY\"]",
"HOSTS_EVENT\n\nExplanation:\nIn the context provided, Tyler Shaw is hosting",
"TOUR_OF_HEAD_BY_PERSON",
" [\"TOUR_HOST\"]",
"TOUR_OF_TYLER_SHAW",
"[\"COVERED_BY\"]",
"TOUR_OF_HEAD_IS_OF_TAIL",
"[\"TOUR_HOST\"]",
"Sentiment_Analysis\n\"SENDS\\_DM\"",
"TOUR_OF_HEAD_BY_PERSON",
" [\"TOUR_HOST\"]",
"TOUR_OF_HEAD_IS_OF_TAIL"
] | [
[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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"117",
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],
[
"129",
"133",
"WORK_OF_ART",
"A Tyler ShawChristmas Tour"
]
] | 263 |
265 | [
"Today Brooke and Ben are talking about hard times. Or more specifically, how to deal with the emotional heaviness that comes from living through really difficult things.\nDigging into this feeling of heaviness, they discuss how they're trying to acknowledge and accept the challenges, as well as the tools they use to help them move forward. They also talk about practical ways to protect ourselves when things feel hard, why limiting social media is a powerful way of drawing boundaries, the impact of gentle activism, why rage-cleaning can help process anger, the rebelliousness of finding joy and why pairing all of these things with action is so important.\nHopefully this conversation shows that it’s okay to look for and hold onto joy in amongst the difficult times.\nHead over to The Tortoise for the full show notes, and if you haven't already, make sure to subscribe to the free weekly newsletter while you're there.\nThanks for listening!"
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["Today Brooke and Ben are talking about hard times. Or more specifically, how to deal with the emotional heaviness that comes from living through really difficult things.\nDigging into this feeling of heaviness, they discuss how they're trying to acknowledge and accept the challenges, as well as the tools they use to help them move forward. They also talk about practical ways to protect ourselves when things feel hard, why limiting social media is a powerful way of drawing boundaries, the impact of gentle activism, why rage-cleaning can help process anger, the rebelliousness of finding joy and why pairing all of these things with action is so important.\nHopefully this conversation shows that it’s okay to look for and hold onto joy in amongst the difficult times.\nHead over to The Tortoise for the full show notes, and if you haven't already, make sure to subscribe to the free weekly newsletter while you're there.\nThanks for listening!"]
Entities:
[{'head': ['0', '1', 'DATE', 'Today'], 'tail': ['1', '2', 'PERSON', 'Brooke']}]
Relation:
[/INST]
| [
[
{
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}
],
[
{
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}
],
[
{
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[
{
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}
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}
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[
{
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}
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[
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[
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],
[
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]
] | 265 |
267 | [
"Christmas Carols are songs and hymns with lyrics on the theme of Christmas – a celebration of and deep appreciation for the birth of Jesus Christ. They are played and sung during the entire holiday season and a big part of western cultural identity. One definition of a carol is “an old round dance with singing”, and this tradition goes back thousands of years in Europe, where pagan songs were sung at Winter Solstice celebrations as people danced around stone circles. Later on, early Christians created and sung Latin hymns for Christmas services, and eventually they were written in English to make it more accessible to everyone. Many Carols were composed to be a part of the storytelling in nativity plays, which center around the scene of Jesus’ birth. Another interesting note about Christmas Carols is that the lyrics and the music are many times written by different people, and also at different times, sometimes hundreds of years apart."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Christmas Carols are songs and hymns with lyrics on the theme of Christmas – a celebration of and deep appreciation for the birth of Jesus Christ. They are played and sung during the entire holiday season and a big part of western cultural identity. One definition of a carol is “an old round dance with singing”, and this tradition goes back thousands of years in Europe, where pagan songs were sung at Winter Solstice celebrations as people danced around stone circles. Later on, early Christians created and sung Latin hymns for Christmas services, and eventually they were written in English to make it more accessible to everyone. Many Carols were composed to be a part of the storytelling in nativity plays, which center around the scene of Jesus’ birth. Another interesting note about Christmas Carols is that the lyrics and the music are many times written by different people, and also at different times, sometimes hundreds of years apart.']
Entities:
[{'head': ['0', '2', 'WORK_OF_ART', 'Christmas Carols'], 'tail': ['24', '26', 'PERSON', 'Jesus Christ']}]
Relation:
[/INST]
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"[{\"relation\": \"ORIGINATED_IN\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"COMPOSED_FOR\"}]\n\nThis relation indicates that the Latin",
"[{\"relation\": \"CELEBRATES_BIRTH_OF\"}]\n\n",
"[{\"relation\": \"ORIGINATED_IN\"}]\n\nThis relation indicates that the",
"CELEBRATION_OF\n\nExplanation:\nThe text mentions that Christmas Carol",
"[{\"relation\": \"THEME_OF_SONGS\"}]\n\nOr, if you",
" ORIGINATED_IN",
"[{\"relation\": \"THEME_OF_COMPOSITION\"}]\n\nThis relation indicates",
"THEME_OF_WORK_OF_ART\n\nExplanation:\nThe relation between",
" ORIGINATED_IN",
"THEME_OF_WORK_OF_ART\n\nExplanation:\nThe relation between",
"THEME_OF_CELEBRATION",
"[{\"relation\": \"CELEBRATES_BIRTH_OF\"}]\n\n",
"[{\"relation\": \"IDENTITY\"}]\n\nThis relation indicates that \"Jesus\"",
"[{\"relation\": \"CELEBRATED_DURING\"}]\n\nThis relation indicates",
"[{\"relation\": \"THEME_OF_CELEBRATION\"}]\n\nOr,",
"[{\"relation\": \"PREEXISTED_FOR\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"ORIGINATED_IN\"}]\n\nThis relation indicates that the",
"NO_RELATION.\n\nThe text mentions that pagan songs were sung at Winter Sol",
"[{\"relation\": \"CREATED_BY\"}]\n\nThis relation indicates that Christians created the",
"[{\"relation\": \"COMPOSED_IN\"}]\n\nThis relation indicates that the Latin",
"[{\"relation\": \"CELEBRATES_BIRTH_OF\"}]\n\n",
"[{\"relation\": \"WRITTEN_IN\"}]\n\nThis relation indicates that the",
"THEME_OF_WORK_OF_ART\n\nExplanation:\nThe text ment",
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"[{\"relation\": \"WRITTEN_MANY_YEARS_APART\"",
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"[{\"relation\": \"ORIGINATED_IN\"}]\n\nThis relation indicates that the",
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[
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[
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],
[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
"146",
"148",
"WORK_OF_ART",
"Christmas Carols"
],
[
"170",
"173",
"DATE",
"hundreds of years"
]
] | 266 |
268 | [
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] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Ellie is 5-6 years old, she weighs about 30 lbs. Ellie is house trained, affectionate, and full of energy, she gets along with dogs her size and is very playful. Ellie is a bit shy with people at first, but warms up quickly and loves to be around the people she knows. Ellie will need a securely fenced yard to play in. Ellie is very smart and will be eager to train and learn new things.\nThe adoption fee for Ellie is $250.00 to reimburse Pet Rescue Network (PRN) for her medical costs to date, which includes, rabies, DHLPP, bordatella, heart worm test and preventative and her spay. She is also micro-chipped and the registration is covered in the adoption fee.\nIf interested in learning more or adopting, please complete and submit the application below.']
Entities:
[{'head': ['0', '1', 'PERSON', 'Ellie'], 'tail': ['2', '7', 'DATE', '5-6 years old']}]
Relation:
[/INST]
| [
[
{
"head": [
"0",
"1",
"PERSON",
"Ellie"
],
"tail": [
"2",
"7",
"DATE",
"5-6 years old"
]
}
],
[
{
"head": [
"0",
"1",
"PERSON",
"Ellie"
],
"tail": [
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"13",
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]
}
],
[
{
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"1",
"PERSON",
"Ellie"
],
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}
],
[
{
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}
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[
{
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],
"tail": [
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}
],
[
{
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}
],
[
{
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],
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}
],
[
{
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]
}
],
[
{
"head": [
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]
}
],
[
{
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"PERSON",
"Ellie"
],
"tail": [
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}
],
[
{
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}
],
[
{
"head": [
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"7",
"DATE",
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],
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}
],
[
{
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],
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"15",
"PERSON",
"Ellie"
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}
],
[
{
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}
],
[
{
"head": [
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"DATE",
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}
],
[
{
"head": [
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"Ellie"
]
}
],
[
{
"head": [
"2",
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"DATE",
"5-6 years old"
],
"tail": [
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}
],
[
{
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}
],
[
{
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}
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[
{
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}
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{
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}
],
[
{
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}
],
[
{
"head": [
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"PERSON",
"Ellie"
]
}
],
[
{
"head": [
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}
],
[
{
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{
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}
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[
{
"head": [
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}
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}
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[
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}
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[
{
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}
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[
{
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}
],
[
{
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}
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[
{
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}
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[
{
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}
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[
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}
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[
{
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}
],
[
{
"head": [
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}
],
[
{
"head": [
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"PRN"
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}
],
[
{
"head": [
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}
],
[
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[
{
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[
{
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{
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}
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[
{
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[
{
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}
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[
{
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}
],
[
{
"head": [
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]
}
],
[
{
"head": [
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],
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}
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{
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}
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{
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}
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[
{
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}
],
[
{
"head": [
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],
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}
],
[
{
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],
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}
],
[
{
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}
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[
{
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}
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[
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}
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[
{
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}
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}
],
[
{
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}
],
[
{
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}
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[
{
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}
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[
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]
}
],
[
{
"head": [
"73",
"74",
"PERSON",
"Ellie"
],
"tail": [
"62",
"63",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"73",
"74",
"PERSON",
"Ellie"
],
"tail": [
"93",
"94",
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"Ellie"
]
}
],
[
{
"head": [
"73",
"74",
"PERSON",
"Ellie"
],
"tail": [
"96",
"97",
"MONEY",
"250.00"
]
}
],
[
{
"head": [
"73",
"74",
"PERSON",
"Ellie"
],
"tail": [
"99",
"102",
"ORG",
"Pet Rescue Network"
]
}
],
[
{
"head": [
"73",
"74",
"PERSON",
"Ellie"
],
"tail": [
"103",
"104",
"ORG",
"PRN"
]
}
],
[
{
"head": [
"93",
"94",
"PERSON",
"Ellie"
],
"tail": [
"0",
"1",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"93",
"94",
"PERSON",
"Ellie"
],
"tail": [
"2",
"7",
"DATE",
"5-6 years old"
]
}
],
[
{
"head": [
"93",
"94",
"PERSON",
"Ellie"
],
"tail": [
"10",
"13",
"QUANTITY",
"about 30 lbs"
]
}
],
[
{
"head": [
"93",
"94",
"PERSON",
"Ellie"
],
"tail": [
"14",
"15",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"93",
"94",
"PERSON",
"Ellie"
],
"tail": [
"38",
"39",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"93",
"94",
"PERSON",
"Ellie"
],
"tail": [
"46",
"47",
"ORDINAL",
"first"
]
}
],
[
{
"head": [
"93",
"94",
"PERSON",
"Ellie"
],
"tail": [
"62",
"63",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"93",
"94",
"PERSON",
"Ellie"
],
"tail": [
"73",
"74",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"93",
"94",
"PERSON",
"Ellie"
],
"tail": [
"96",
"97",
"MONEY",
"250.00"
]
}
],
[
{
"head": [
"93",
"94",
"PERSON",
"Ellie"
],
"tail": [
"99",
"102",
"ORG",
"Pet Rescue Network"
]
}
],
[
{
"head": [
"93",
"94",
"PERSON",
"Ellie"
],
"tail": [
"103",
"104",
"ORG",
"PRN"
]
}
],
[
{
"head": [
"96",
"97",
"MONEY",
"250.00"
],
"tail": [
"0",
"1",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"96",
"97",
"MONEY",
"250.00"
],
"tail": [
"14",
"15",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"96",
"97",
"MONEY",
"250.00"
],
"tail": [
"38",
"39",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"96",
"97",
"MONEY",
"250.00"
],
"tail": [
"62",
"63",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"96",
"97",
"MONEY",
"250.00"
],
"tail": [
"73",
"74",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"96",
"97",
"MONEY",
"250.00"
],
"tail": [
"93",
"94",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"96",
"97",
"MONEY",
"250.00"
],
"tail": [
"99",
"102",
"ORG",
"Pet Rescue Network"
]
}
],
[
{
"head": [
"96",
"97",
"MONEY",
"250.00"
],
"tail": [
"103",
"104",
"ORG",
"PRN"
]
}
],
[
{
"head": [
"99",
"102",
"ORG",
"Pet Rescue Network"
],
"tail": [
"0",
"1",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"99",
"102",
"ORG",
"Pet Rescue Network"
],
"tail": [
"2",
"7",
"DATE",
"5-6 years old"
]
}
],
[
{
"head": [
"99",
"102",
"ORG",
"Pet Rescue Network"
],
"tail": [
"10",
"13",
"QUANTITY",
"about 30 lbs"
]
}
],
[
{
"head": [
"99",
"102",
"ORG",
"Pet Rescue Network"
],
"tail": [
"14",
"15",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"99",
"102",
"ORG",
"Pet Rescue Network"
],
"tail": [
"38",
"39",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"99",
"102",
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"Pet Rescue Network"
],
"tail": [
"46",
"47",
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]
}
],
[
{
"head": [
"99",
"102",
"ORG",
"Pet Rescue Network"
],
"tail": [
"62",
"63",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"99",
"102",
"ORG",
"Pet Rescue Network"
],
"tail": [
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"PERSON",
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}
],
[
{
"head": [
"99",
"102",
"ORG",
"Pet Rescue Network"
],
"tail": [
"93",
"94",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
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"102",
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"Pet Rescue Network"
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"tail": [
"96",
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]
}
],
[
{
"head": [
"99",
"102",
"ORG",
"Pet Rescue Network"
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"tail": [
"103",
"104",
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"PRN"
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}
],
[
{
"head": [
"103",
"104",
"ORG",
"PRN"
],
"tail": [
"0",
"1",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"103",
"104",
"ORG",
"PRN"
],
"tail": [
"2",
"7",
"DATE",
"5-6 years old"
]
}
],
[
{
"head": [
"103",
"104",
"ORG",
"PRN"
],
"tail": [
"10",
"13",
"QUANTITY",
"about 30 lbs"
]
}
],
[
{
"head": [
"103",
"104",
"ORG",
"PRN"
],
"tail": [
"14",
"15",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"103",
"104",
"ORG",
"PRN"
],
"tail": [
"38",
"39",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"103",
"104",
"ORG",
"PRN"
],
"tail": [
"46",
"47",
"ORDINAL",
"first"
]
}
],
[
{
"head": [
"103",
"104",
"ORG",
"PRN"
],
"tail": [
"62",
"63",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"103",
"104",
"ORG",
"PRN"
],
"tail": [
"73",
"74",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"103",
"104",
"ORG",
"PRN"
],
"tail": [
"93",
"94",
"PERSON",
"Ellie"
]
}
],
[
{
"head": [
"103",
"104",
"ORG",
"PRN"
],
"tail": [
"96",
"97",
"MONEY",
"250.00"
]
}
],
[
{
"head": [
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"104",
"ORG",
"PRN"
],
"tail": [
"99",
"102",
"ORG",
"Pet Rescue Network"
]
}
]
] | [
"AGE\n\n[{'head': ['0', '1', 'PERSON', 'Ell",
"WEIGHT_OF_ELLIE",
"[\"ADOPTER_ANIMAL\"]",
"[\"ADOPTER\", \"ADOPTEE\"]",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the entities",
"NO_RELATION",
"[\"ADOPTER\", \"ADOPTEE\"]",
"[{\"relation\": \"SELF\"}]",
"ADOPTION_FEE\n\nNote: The relation label \"ADOPTION_FEE\" represents",
"REIMBURSES",
"REIMBURSES",
"AGES_OF_ENTITIES\n\"AGE_DIFFERENCE\"\n\n[{'",
"AGES_OF_ENTITIES\n\"OLDER_THAN\"\n\"5-",
"AGES_OF_ENTITIES\n\"OLDER_THAN\"\n\"5-",
"AGES_OF_ENTITIES\n\"OLDER_THAN\"\n\"5-",
"AGES_OF_ENTITIES\n\"OLDER_THAN\"\n\"5-",
"AGES_OF_ENTITIES\n\"OLDER_THAN\"\n\"5-",
"REIMBURSES\n\nExplanation:\nThe text mentions that the adoption",
"REIMBURSES\n\nExplanation:\nThe text mentions that the adoption",
"WEIGHT\n\nExplanation:\nThe text mentions that Ellie weighs about ",
"WEIGHT_OF_ELLIE",
"WEIGHT\n\nExplanation:\nThe text mentions that Ellie weighs about ",
"WEIGHT_OF_ELLIE",
"WEIGHT_OF_ELLIE",
"WEIGHT\n\nExplanation:\nThe text mentions that Ellie weighs about ",
"REIMBURSES\n\nExplanation:\nThe text mentions that the adoption",
"REIMBURSES",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the mentioned",
"AGES_OF_ENTITIES\n\"OLDER_THAN\"\n\"5-",
"[\"WEIGHT\"]",
"[{\"relation\": \"SELF\"}]",
"NO_RELATION.\n\nEntities represent different concepts in the text, and in this case,",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the two",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the two",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the two",
"\"ADOPTION_FEE\"\n\nExplanation:\nThe text mentions that the",
"REIMBURSES",
"REIMBURSES",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the mentioned",
"AGES_OF_ENTITIES\n\"OLDER_THAN\"\n\"5-",
"[\"WEIGHT\"]",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the two",
"NO_RELATION.\n\nEntities describe different aspects of the same subject (Ellie),",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the two",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the entities",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the mentioned",
"\"ADOPTION_FEE\"\n\nor\n\n\"COSTS\"\n\n(",
"REIMBURSES",
"REIMBURSES",
"[{\"HEAD_ENTITY\": \"first\", \"RELATION\": \"BELONGS_",
"[{\"label\": \"OWNER_OF\", \"head\": \"first\", \"tail\":",
"[{\"label\": \"OWNER_OF\", \"head\": \"first\", \"tail\":",
"[{\"label\": \"CHILD_OF\", \"head\": \"first\", \"tail\": \"",
"[{\"label\": \"OWNER_OF\", \"head\": \"first\", \"tail\":",
"[{\"relation\": \"SUBJECT_OF\"}]\n\nOr, since the text doesn'",
"REIMBURSES\n\nExplanation:\nThe context indicates that the adoption fee",
"REIMBURSES",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the mentioned",
"AGE\n\n[{'head': 'Ellie', 'tail': '5-6 years",
"WEIGHT_OF_ENTITY\n\n[{'head': 'Ellie', 'tail",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the two",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the two",
"NO_RELATION.\n\nEntities represent different parts of the text, and in this case,",
"[{\"relation\": \"SELF\"}]",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the mentioned",
"\"ADOPTION_FEE\"\n\nor\n\n\"PAID\" (if \"E",
"REIMBURSES",
"REIMBURSES",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the mentioned",
"AGES_OF_ENTITIES\n\"OLDER_THAN\"\n\"5-",
"WEIGHT_OF_ELLIE",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the two",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the two",
"NO_RELATION.\n\nEntities describe different aspects of the same subject (Ellie),",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the two",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the mentioned",
"\"ADOPTION_FEE\"\n\nor\n\n\"COSTS\"\n\n(",
"REIMBURSES",
"REIMBURSES",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"AGE\n\n[{'head': ['93', '94', 'PERSON', '",
"WEIGHT_OF_ELLIE",
"[{\"relation\": \"SELF\"}]",
"[{\"relation\": \"SELF\"}]",
"NO_RELATION.\n\nEntities describe different aspects of the same subject (Ellie),",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the two",
"[{\"relation\": \"SELF\"}]",
"ADOPTION_FEE",
"REIMBURSES",
"REIMBURSES",
"ADOPTION_FEE\n\nNote: I assume the relation label \"ADOPTION_FEE",
"ADOPTION_FEE\n\nNote: I assume that the label \"ADOPTION_FEE",
"ADOPTION_FEE\n\nNote: In this context, \"adoption fee\" is the",
"ADOPTION_FEE\n\nNote: In this context, \"adoption fee\" is the",
"ADOPTION_FEE\n\nNote: In this context, \"adoption fee\" is the",
"ADOPTION_FEE\n\nNote: The relation label \"ADOPTION_FEE\" represents",
"REIMBURSES",
"REIMBURSES\n\nExplanation:\nThe text states that the adoption fee",
"REIMBURSES",
"REIMBURSES\n\nExplanation:\nThe text mentions that the adoption",
"REIMBURSES\n\nExplanation:\nThe context indicates that the adoption fee",
"REIMBURSES",
"REIMBURSES",
"REIMBURSES\n\nExplanation:\nThe text mentions that the adoption",
"REIMBURSES",
"REIMBURSES",
"REIMBURSES",
"REIMBURSES",
"REIMBURSES",
"REIMBURSES",
"[{\"relation\": \"REIMBURSES_FOR\"}]\n\nThis relation indicates",
"WEIGHT_OF_ELLIE_IS_ABOUT_30_LBS",
"REIMBURSES",
"REIMBURSES",
"[REIMBURSES]\n\nExplanation:\nThe text mentions that",
"REIMBURSES",
"REIMBURSES",
"REIMBURSES",
"REIMBURSES",
"REIMBURSES"
] | [
[
"0",
"1",
"PERSON",
"Ellie"
],
[
"2",
"7",
"DATE",
"5-6 years old"
],
[
"10",
"13",
"QUANTITY",
"about 30 lbs"
],
[
"14",
"15",
"PERSON",
"Ellie"
],
[
"38",
"39",
"PERSON",
"Ellie"
],
[
"46",
"47",
"ORDINAL",
"first"
],
[
"62",
"63",
"PERSON",
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],
[
"73",
"74",
"PERSON",
"Ellie"
],
[
"93",
"94",
"PERSON",
"Ellie"
],
[
"96",
"97",
"MONEY",
"250.00"
],
[
"99",
"102",
"ORG",
"Pet Rescue Network"
],
[
"103",
"104",
"ORG",
"PRN"
]
] | 267 |
269 | [
"Mika Epstein tackles the common concerns many people have about Gutenberg as its debut in WordPress 5.0 approaches. Most themes and plugins don’t interface with the post editor or custom meta boxes, so they will be fine. For those that do involve the editor interface or meta boxes, Mika notes it may be a bit of a rocky road. It’s true, however, that innovation is necessary and sometimes a little painful.\nHardeep Asrani over at codeinwp explains how to adapt your plugin to Gutenberg.\nThere have been a lot of articles recently, such as this one by Kevin Ball, that have focused on understanding higher order components in React and Gutenberg."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Mika Epstein tackles the common concerns many people have about Gutenberg as its debut in WordPress 5.0 approaches. Most themes and plugins don’t interface with the post editor or custom meta boxes, so they will be fine. For those that do involve the editor interface or meta boxes, Mika notes it may be a bit of a rocky road. It’s true, however, that innovation is necessary and sometimes a little painful.\nHardeep Asrani over at codeinwp explains how to adapt your plugin to Gutenberg.\nThere have been a lot of articles recently, such as this one by Kevin Ball, that have focused on understanding higher order components in React and Gutenberg.']
Entities:
[{'head': ['0', '2', 'PERSON', 'Mika Epstein'], 'tail': ['10', '11', 'PRODUCT', 'Gutenberg']}]
Relation:
[/INST]
| [
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{
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],
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}
],
[
{
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"Mika Epstein"
],
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"WordPress 5.0"
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}
],
[
{
"head": [
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"Mika"
]
}
],
[
{
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}
],
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{
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],
"tail": [
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"codeinwp"
]
}
],
[
{
"head": [
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"2",
"PERSON",
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"Gutenberg"
]
}
],
[
{
"head": [
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"2",
"PERSON",
"Mika Epstein"
],
"tail": [
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"113",
"PERSON",
"Kevin Ball"
]
}
],
[
{
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"2",
"PERSON",
"Mika Epstein"
],
"tail": [
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"124",
"PRODUCT",
"React"
]
}
],
[
{
"head": [
"0",
"2",
"PERSON",
"Mika Epstein"
],
"tail": [
"125",
"126",
"PRODUCT",
"Gutenberg"
]
}
],
[
{
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],
"tail": [
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"PERSON",
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]
}
],
[
{
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"tail": [
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}
],
[
{
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],
"tail": [
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}
],
[
{
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Amazon\'s \'Mr. & Mrs. Smith\' Series Review (2024)\nAngelina Jolie and Brad Pitt\'s chemistry in "Mr. & Mrs. Smith" blended romance and action.\nExplored the concept of a married couple discovering each other\'s spy identities.\nHinted at the transformative nature of marriage and the wearing of disguises in intimate relationships.\nProduced by Francesca Sloane and Donald Glover, the new series introduces John and Jane as recruits for The Company.\nDiffers from the film\'s timeline by showing the couple at the beginning of their espionage careers.\nPartnerships in high-stakes missions unfold, deviating from the film\'s individual assignment focus.\nMaintains the contrasts between John and Jane, but delves deeper into their complexities.\nExplores themes of committed relationships, presenting a mix of romcom and action-fantasy elements.\nREAD MORE POST']
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[/INST]
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] | 270 |
272 | [
"Marco A. Flores Humanities\nSentiments of (Be)longing: Queer Undocumented Immigrants in Search of Home\nThough growing rapidly, the literature on the displacement of immigrants within the U.S. rarely addresses queer undocumented immigrants. By engaging with theories of affect, Marco’s project will explore the experiences of displacement queer undocumented immigrants encounter in their search for home. Through qualitative interviews, Marco will bring together two seemingly unrelated identities — “queer” and “immigrant” — exploring the complications of experience and sentiment driven by the dwelling that takes place in search of home; an engagement of the body in relation to a fragmented self. Ultimately, by illuminating forms of contact these queer undocumented immigrants have with their homeland, Marco hopes to provide a theoretical framework that engages in their navigation between being queer and undocumented, leading to a re-imagining of the body as a site of home."
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Marco A. Flores Humanities\nSentiments of (Be)longing: Queer Undocumented Immigrants in Search of Home\nThough growing rapidly, the literature on the displacement of immigrants within the U.S. rarely addresses queer undocumented immigrants. By engaging with theories of affect, Marco’s project will explore the experiences of displacement queer undocumented immigrants encounter in their search for home. Through qualitative interviews, Marco will bring together two seemingly unrelated identities — “queer” and “immigrant” — exploring the complications of experience and sentiment driven by the dwelling that takes place in search of home; an engagement of the body in relation to a fragmented self. Ultimately, by illuminating forms of contact these queer undocumented immigrants have with their homeland, Marco hopes to provide a theoretical framework that engages in their navigation between being queer and undocumented, leading to a re-imagining of the body as a site of home.']
Entities:
[{'head': ['0', '3', 'PERSON', 'Marco A. Flores'], 'tail': ['31', '32', 'GPE', 'U.S.']}]
Relation:
[/INST]
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] | 271 |
273 | [
"American Library Association\nThis instruction session was developed to address an engineering professor’s concern that his students weren’t able to discern between factual and biased information. They weren’t evaluating the information they found, and readily accepted as truth anything pertinent to their research topic. While this plan was done in an elective civil engineering class, it could easily be adapted for any class using controversial and biased sources.\nBoyd, S. K. (2020). Where the recipe goes wrong: Stirring bias into the information mix. In S. E. Morris (Ed.), The critical thinking about sources cookbook (pp. 59-60). Chicago, IL: The Association of College and Research Libraries, a division of the American Library Association."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['American Library Association\nThis instruction session was developed to address an engineering professor’s concern that his students weren’t able to discern between factual and biased information. They weren’t evaluating the information they found, and readily accepted as truth anything pertinent to their research topic. While this plan was done in an elective civil engineering class, it could easily be adapted for any class using controversial and biased sources.\nBoyd, S. K. (2020). Where the recipe goes wrong: Stirring bias into the information mix. In S. E. Morris (Ed.), The critical thinking about sources cookbook (pp. 59-60). Chicago, IL: The Association of College and Research Libraries, a division of the American Library Association.']
Entities:
[{'head': ['0', '3', 'ORG', 'American Library Association'], 'tail': ['78', '79', 'PERSON', 'Boyd']}]
Relation:
[/INST]
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
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Text:
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] | 273 |
275 | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Investment banker and Wells Fargo heir F. Warren Hellman told Forbes that he may seek funding from the city of San Francisco, and other governments, for the nonprofit news organization he’s planning:\nForbes’ Dirk Smillie asked Hellman: You’re contributing $5 million from the Hellman Family Foundation to start this venture, but how will you make it sustainable?\n- “It will take a fair amount of money, raised annually. Contributions to public broadcasting in the Bay Area are up this year. We can sell memberships and get support from local and national government sources, wealthy individuals and some corporate backing. We may be able to get city funding. The mayor of San Francisco, Gavin Newsom, and the president of the board of supervisors, David Chiu, are very supportive of what we’re doing.”']
Entities:
[{'head': ['3', '5', 'ORG', 'Wells Fargo'], 'tail': ['6', '9', 'PERSON', 'F. Warren Hellman']}]
Relation:
[/INST]
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] | 274 |
276 | [
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
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}
],
[
{
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}
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{
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{
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{
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}
],
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{
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],
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{
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}
],
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{
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}
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{
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}
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{
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}
],
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{
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{
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{
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{
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}
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{
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}
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{
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}
],
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{
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],
[
{
"head": [
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}
],
[
{
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}
],
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{
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}
],
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{
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}
],
[
{
"head": [
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"174",
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"40",
"42",
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}
],
[
{
"head": [
"173",
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}
],
[
{
"head": [
"173",
"174",
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],
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}
],
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{
"head": [
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}
],
[
{
"head": [
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}
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}
],
[
{
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],
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]
}
],
[
{
"head": [
"173",
"174",
"MONEY",
"10,000"
],
"tail": [
"142",
"144",
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"Lake Tahoe"
]
}
],
[
{
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"10,000"
],
"tail": [
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"154",
"PERSON",
"Jessica Drake"
]
}
],
[
{
"head": [
"173",
"174",
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],
"tail": [
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}
]
] | [
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"Employer_Employee\n\nOr, you could use:\n\nRepresented_",
"PAID_BY",
"MEETING_AT_EVENT",
"PAID_BY",
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"[{'label': 'IDENTICAL'}]\n\nOr, since the head and tail are the",
"PAID_BY",
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"PAID_MONEY_FOR_SILENCE",
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" paid_money_to\n\n[{'head': ['19', '21',",
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"PAID_BY",
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" paid_money_to\n\n[{'head': ['19', '21',",
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"SOURCE_ENTITY_MENTIONED_NDA_WITH_TARGET_ENTITY",
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"[{\"relation\": \"MENTIONED_IN\"}]\n\nThis relation indicates that \"The",
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"PAID_MONEY",
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"\"PAID_BY\"",
"[{\"relation\": \"PREVIOUS_EVENT_OF_ENTITY\", \"head_",
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" paid_money_to\n\n[{'head': ['65', '108",
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"NO_RELATION.\n\nThe text mentions a payment made to Stephanie Clifford",
" paid_money_to\n\n[{'head': ['65', 'PERSON',",
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"[{\"relation\": \"PREVIOUSLY_MET\"}]\n\n[{\"relation",
"[{\"relation\": \"PREVIOUSLY_MET_AT\"}]\n\n[",
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"[{\"location1\": \"2006\", \"location2\": \"Lake Tah",
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"[{\"relation\": \"PREVIOUSLY_MET\"}]\n\n[{\"relation",
" paid_money_to\n\nThis relation indicates that Clifford received a payment from Trump",
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"NEGOTIATED_AGREEMENT",
"represented_by",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{\"relation\": \"PREVIOUS_EVENT_OF_ENTITY\", \"head_",
" paid_money_to\n\nOr, in JSON format:\n{\n\"relation\":",
"BACKGROUND_EVENT_OF\n\nExplanation:\nThe text describes an event (",
"NO_RELATION.\n\nThe text mentions a payment made in 2005",
"[\"PAID_BY\"]",
"NO_RELATION (Since the given entities are the same, there is no relation in this context",
"MEETING_AT_LOCATION",
"[{\"relation\": \"PRECEDED_BY\"}]\n\nThis relation indicates that the event",
"MET\n\nThis relation indicates that the entities \"Clifford\" and \"Jessica",
" paid_money_to\n\n[{'head': ['75', '76',",
"OFFERED_PAYMENT",
"[{\"label\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"PAID_MONEY",
"[{\"relation\": \"PAYMENT_DATE\"}]",
"SOURCE\n\n[{'head': ['107', 'PERSON', 'Trump'],",
"represented_by",
"represented_by",
"PAID_BY",
"[{\"relation\": \"PRECEDES\"}]\n\nThis relation indicates that the year ",
" paid_money_to\n\n[{'head': ['107', 'Trump",
"appeared_on\n\nExplanation:\nThe text mentions that Trump's le",
"NO_RELATION.\n\nThe text describes two separate encounters between Donald Trump and two different",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nor\n\n[{\"",
" paid_money_to\n\n[{'head': ['107', 'Trump",
"MEETING_AT_LOCATION",
"MEETING",
"NO_RELATION.\n\nThe text describes two separate encounters between Trump and two different women",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nor\n\n[{\"",
"OFFERED_PAYMENT",
"appeared_in\n\n[Explanation: The text mentions that \"a leaked",
"[{\"reported_by\": \"NO_RELATION\"}]\n\n[{\"head\":",
"WORKED_FOR",
"[{\"relation\": \"ORGANIZED_BY\"}]\n\nThis relation indicates that",
"appeared_in\n\n[Explanation: The text mentions that Stephanie Cliff",
"MET_AT_LOCATION",
"appeared_in\n\n[Explanation: The text mentions that \"a leaked",
"appeared_in\n\n[Explanation: The text mentions that \"a leaked",
"MET_AT_LOCATION",
"LOCATION_NEARBY",
"MET_AT",
"appeared_in\n\n[Explanation: The text mentions that \"a leaked",
"NO_RELATION.\n\nThe text mentions a payment and a consensual sexual encounter",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that \"The",
"NEGOTIATED_AGREEMENT",
"[{\"relation\": \"ORG_REPRESENTED_BY\"}]\n\nThis",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[LEWD_COMMENTS_AT]\n\nIt is important to note that based on",
"[LEWD_COMMENTS_AT]\n\nIt is important to note that the text",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"location1\": \"2005\", \"location2\": \"Lake Tah",
"MET_AT",
"[LEWD_COMMENTS_AT]\n\nIt is important to note that the text",
"[{\"IS_IDENTICAL_TO\": \"\"}]\n\nor\n\n[{\"IDENTIFI",
"PAID_MONEY",
"PAID_IN_MONTH\n\n[{'head': ['127', 'PER",
" sources\n\n[{'head': ['128', 'PERSON', 'Trump'],",
"represented_by",
"represented_by",
"PAID_BY",
"[{\"relation\": \"PRECEDED_BY\"}]\n\nExplanation:\nThe",
"PAID_BY",
"[{\"relation\": \"SELF_RELATION\"}]\n\nor\n\n[{\"relation",
"[{\"relation\": \"MENTIONED_IN\"}]\n\nThis relation indicates that the work",
"NO_RELATION.\n\nThe text describes a payment made in 2016 and",
" paid_money_to\n\n[{'head': ['127', '12",
"MEETING_AT_LOCATION",
"MEETING_AT_EVENT",
"NO_RELATION.\n\nThe text describes two separate encounters between Trump and two different women",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nor\n\n[{\"",
"OFFERED_PAYMENT",
" paid_by\n\nExplanation:\nThe text states that Michael Cohen, on behalf of",
"[\"PAID_MONEY\"]",
"[{\"relation\": \"PAYMENT_AT_TIME\"}]",
"SOURCE_OF_INFO\n\n[Explanation: The Wall Street Journal is the source of",
"NEGOTIATED_AGREEMENT",
"represented_by",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{\"relation\": \"PREVIOUS_EVENT_OF_ENTITY\", \"head_",
"NO_RELATION (Since the given entities are the same, there is no relation in this context",
"[{\"relation\": \"PAID_BY\"}]\n\nThis relation indicates that Clifford",
"BACKGROUND_EVENT_OF\n\nExplanation:\nThe text describes an event (",
"NO_RELATION.\n\nThe text mentions a payment made in 2016",
" paid_money_to\n\nor\n\nhad_affair_with (for a",
"MEETING_AT_LOCATION",
"[{\"relation\": \"PRECEDED_BY\"}]\n\nThis relation indicates that the event",
"MET\n\nThis relation indicates that the entities \"Clifford\" and \"Jessica",
" paid_money_to\n\nOr, if you prefer a more standardized format:\n",
"OFFERED_PAYMENT",
"MET_AT",
"Payment_at_Location",
"[{\"relation\": \"PRECEDES\"}]",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that \"The",
"MET_AT",
"[{\"location\": \"Lake Tahoe\", \"organization\": \"the Trump Organization\"",
"MET\n\n[Explanation: The entities represent locations and persons. The relation \"ME",
"[{\"location1\": \"Lake Tahoe\", \"date1\": \"200",
"MEETING_AT_LOCATION",
"MEETING_AT_LOCATION",
"[{\"location1\": \"Lake Tahoe\", \"work_of_art\": \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"MEETING_AT_LOCATION",
"MEETING_AT_LOCATION",
"LOC_AT_DATE",
"MET_AT",
"MEETING_AT_LOCATION",
"OFFERED_PAYMENT",
"MET\n\n[Explanation: The entities represent the time when Donald Trump met Stephanie",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that \"The",
"represented_by\n\n[{'head': ['40', '42', '",
"[{\"HEAD_TYPE\": \"DATE\", \"HEAD\": \"July of that year\", \"",
"MET",
"MET\n\n[Explanation: The entities represent the text \"July of that year",
"MET\n\n[{'head': ['147', '151', 'DATE",
"MET",
"MET\n\n[Explanation: The entities represent the time when Trump and Clifford",
"LOCATION_OF\n\n[Explanation: The head entity describes the month and year when",
"MET\n\n[Explanation: The entities represent a date and a person. The relation",
"MET",
"INTERACTED_WITH",
"OFFERED_PAYMENT",
"NO_RELATION.\n\nThe text mentions Jessica Drake and October 201",
" sources_reported_for\n\n[{'head': ['152', '15",
"MET\n\n[Explanation: The text mentions that Jessica Drake met Michael Cohen",
"NO_RELATION.\n\nThe text describes Jessica Drake making an allegation against the Trump",
"MET\n\nThis relation indicates that Jessica Drake and Stephanie Clifford have met each",
"[{\"relation\": \"PRESENT_AT\"}]\n\nOr, if you prefer a",
"MET\n\nThis relation indicates that Jessica Drake and Clifford have met each other.",
"INTERACTED_WITH",
"[{\"relation\": \"APPEARED_IN\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"PRESENT_AT\"}]\n\nOr, if you prefer a",
"INTERACTED_WITH",
"MET\n\nThis relation indicates that Jessica Drake and Clifford have met each other.",
"[{\"location_of_encounter\": \"\"}]\n\nIf the text mentions a location",
"[{\"met\": [\"Jessica Drake\", \"July of that year\"]}]",
"INTERACTED_WITH",
"OFFERED_PAYMENT",
"[{\"IS_IDENTICAL_TO\": [\"Trump\", \"Donald Trump\"]}]\n\n",
"PAID_MONEY",
"[{\"relation\": \"PAYMENT_DATE\"}]\n\nThis relation indicates that the head",
"SOURCE_OF_INFO\n\n[{'head': ['163', 'PERSON',",
"represented_by",
"represented_by",
"PAID_BY",
"[{\"relation\": \"PRECEDES\"}]\n\nThis relation indicates that the year ",
"PAID_BY",
"[{\"relation\": \"SELF_RELATION\"}]\n\nor\n\n[{\"relation",
"[{\"relation\": \"MENTIONED_IN\"}]\n\nThis relation indicates that the work",
"NO_RELATION.\n\nThe text mentions that a lewd recording of Trump was revealed",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nor\n\n[{\"",
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"MEETING_AT_LOCATION",
"MEETING",
"NO_RELATION",
"OFFERED_PAYMENT",
"OFFERED_PAYMENT",
"\"REPORTED_SOURCE\"",
"PAID_BY",
"OFFERED_PAYMENT",
" paid_money_for_silence\n\nOr, if using the entity labels directly:",
" paid_money_for_silence\n\nOr, if you prefer a more standardized",
"OFFERED_PAYMENT",
" OFFERED_PAYMENT",
" paid_money_for_sex\n\nOr, if you prefer a more standardized format",
" OFFERED_AT_LOCATION",
"OFFERED_PAYMENT",
" OFFERED_PAYMENT"
] | [
[
"4",
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"PERSON",
"Donald Trump"
],
[
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[
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[
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[
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[
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[
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[
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[
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[
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],
[
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[
"118",
"119",
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"2005"
],
[
"127",
"128",
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"Trump"
],
[
"129",
"130",
"PERSON",
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],
[
"142",
"144",
"LOC",
"Lake Tahoe"
],
[
"147",
"151",
"DATE",
"July of that year"
],
[
"152",
"154",
"PERSON",
"Jessica Drake"
],
[
"163",
"164",
"PERSON",
"Trump"
],
[
"173",
"174",
"MONEY",
"10,000"
]
] | 276 |
278 | [
"Comes on 2 x 12\" Vinyl and includes a booklet and liner notes inside a gatefold.\nIncludes unlimited streaming of SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION\nvia the free Bandcamp app, plus high-quality download in MP3, FLAC and more.\nfrom SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION,\nreleased January 1, 2018\nC5. For True Story …for Sonic vs. Shadow\nMusic & Japanese Lyrics by Fumie Kumatani\nWords Translation by Shinobu Shindo\nArranged & Sound Produced by Heigo Tani\nVocals: Everett Bradley\nGuitars: Akira Sasaki\nProgramming: Heigo Tani, Fumie Kumatani\nMixed by Hirokazu Akashi"
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Comes on 2 x 12" Vinyl and includes a booklet and liner notes inside a gatefold.\nIncludes unlimited streaming of SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION\nvia the free Bandcamp app, plus high-quality download in MP3, FLAC and more.\nfrom SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION,\nreleased January 1, 2018\nC5. For True Story …for Sonic vs. Shadow\nMusic & Japanese Lyrics by Fumie Kumatani\nWords Translation by Shinobu Shindo\nArranged & Sound Produced by Heigo Tani\nVocals: Everett Bradley\nGuitars: Akira Sasaki\nProgramming: Heigo Tani, Fumie Kumatani\nMixed by Hirokazu Akashi']
Entities:
[{'head': ['2', '6', 'QUANTITY', '2 x 12"'], 'tail': ['34', '35', 'ORG', 'Bandcamp']}]
Relation:
[/INST]
| [
[
{
"head": [
"2",
"6",
"QUANTITY",
"2 x 12\""
],
"tail": [
"34",
"35",
"ORG",
"Bandcamp"
]
}
],
[
{
"head": [
"2",
"6",
"QUANTITY",
"2 x 12\""
],
"tail": [
"82",
"84",
"PERSON",
"Fumie Kumatani"
]
}
],
[
{
"head": [
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"2 x 12\""
],
"tail": [
"88",
"90",
"PERSON",
"Shinobu Shindo"
]
}
],
[
{
"head": [
"2",
"6",
"QUANTITY",
"2 x 12\""
],
"tail": [
"96",
"98",
"PERSON",
"Heigo Tani"
]
}
],
[
{
"head": [
"2",
"6",
"QUANTITY",
"2 x 12\""
],
"tail": [
"101",
"103",
"PERSON",
"Everett Bradley"
]
}
],
[
{
"head": [
"2",
"6",
"QUANTITY",
"2 x 12\""
],
"tail": [
"106",
"108",
"PERSON",
"Akira Sasaki"
]
}
],
[
{
"head": [
"2",
"6",
"QUANTITY",
"2 x 12\""
],
"tail": [
"111",
"113",
"PERSON",
"Heigo Tani"
]
}
],
[
{
"head": [
"2",
"6",
"QUANTITY",
"2 x 12\""
],
"tail": [
"114",
"116",
"PERSON",
"Fumie Kumatani"
]
}
],
[
{
"head": [
"2",
"6",
"QUANTITY",
"2 x 12\""
],
"tail": [
"119",
"121",
"PERSON",
"Hirokazu Akashi"
]
}
],
[
{
"head": [
"23",
"30",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
"34",
"35",
"ORG",
"Bandcamp"
]
}
],
[
{
"head": [
"23",
"30",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
"82",
"84",
"PERSON",
"Fumie Kumatani"
]
}
],
[
{
"head": [
"23",
"30",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
"88",
"90",
"PERSON",
"Shinobu Shindo"
]
}
],
[
{
"head": [
"23",
"30",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
"96",
"98",
"PERSON",
"Heigo Tani"
]
}
],
[
{
"head": [
"23",
"30",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
"101",
"103",
"PERSON",
"Everett Bradley"
]
}
],
[
{
"head": [
"23",
"30",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
"106",
"108",
"PERSON",
"Akira Sasaki"
]
}
],
[
{
"head": [
"23",
"30",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
"111",
"113",
"PERSON",
"Heigo Tani"
]
}
],
[
{
"head": [
"23",
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"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
"114",
"116",
"PERSON",
"Fumie Kumatani"
]
}
],
[
{
"head": [
"23",
"30",
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"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
"119",
"121",
"PERSON",
"Hirokazu Akashi"
]
}
],
[
{
"head": [
"34",
"35",
"ORG",
"Bandcamp"
],
"tail": [
"2",
"6",
"QUANTITY",
"2 x 12\""
]
}
],
[
{
"head": [
"34",
"35",
"ORG",
"Bandcamp"
],
"tail": [
"23",
"30",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
]
}
],
[
{
"head": [
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"ORG",
"Bandcamp"
],
"tail": [
"51",
"58",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
]
}
],
[
{
"head": [
"34",
"35",
"ORG",
"Bandcamp"
],
"tail": [
"61",
"65",
"DATE",
"January 1, 2018"
]
}
],
[
{
"head": [
"34",
"35",
"ORG",
"Bandcamp"
],
"tail": [
"79",
"80",
"NORP",
"Japanese"
]
}
],
[
{
"head": [
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"35",
"ORG",
"Bandcamp"
],
"tail": [
"82",
"84",
"PERSON",
"Fumie Kumatani"
]
}
],
[
{
"head": [
"34",
"35",
"ORG",
"Bandcamp"
],
"tail": [
"88",
"90",
"PERSON",
"Shinobu Shindo"
]
}
],
[
{
"head": [
"34",
"35",
"ORG",
"Bandcamp"
],
"tail": [
"96",
"98",
"PERSON",
"Heigo Tani"
]
}
],
[
{
"head": [
"34",
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"ORG",
"Bandcamp"
],
"tail": [
"101",
"103",
"PERSON",
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]
}
],
[
{
"head": [
"34",
"35",
"ORG",
"Bandcamp"
],
"tail": [
"106",
"108",
"PERSON",
"Akira Sasaki"
]
}
],
[
{
"head": [
"34",
"35",
"ORG",
"Bandcamp"
],
"tail": [
"111",
"113",
"PERSON",
"Heigo Tani"
]
}
],
[
{
"head": [
"34",
"35",
"ORG",
"Bandcamp"
],
"tail": [
"114",
"116",
"PERSON",
"Fumie Kumatani"
]
}
],
[
{
"head": [
"34",
"35",
"ORG",
"Bandcamp"
],
"tail": [
"119",
"121",
"PERSON",
"Hirokazu Akashi"
]
}
],
[
{
"head": [
"51",
"58",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
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"35",
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"Bandcamp"
]
}
],
[
{
"head": [
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"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
"82",
"84",
"PERSON",
"Fumie Kumatani"
]
}
],
[
{
"head": [
"51",
"58",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
"88",
"90",
"PERSON",
"Shinobu Shindo"
]
}
],
[
{
"head": [
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"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
"96",
"98",
"PERSON",
"Heigo Tani"
]
}
],
[
{
"head": [
"51",
"58",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
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"103",
"PERSON",
"Everett Bradley"
]
}
],
[
{
"head": [
"51",
"58",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
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"PERSON",
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]
}
],
[
{
"head": [
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"58",
"WORK_OF_ART",
"SONIC ADVENTURE 2 OFFICIAL SOUNDTRACK VINYL EDITION"
],
"tail": [
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"113",
"PERSON",
"Heigo Tani"
]
}
],
[
{
"head": [
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],
"tail": [
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"116",
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}
],
[
{
"head": [
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"116",
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]
}
],
[
{
"head": [
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"116",
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"Fumie Kumatani"
],
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]
}
],
[
{
"head": [
"114",
"116",
"PERSON",
"Fumie Kumatani"
],
"tail": [
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"84",
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"Fumie Kumatani"
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}
],
[
{
"head": [
"114",
"116",
"PERSON",
"Fumie Kumatani"
],
"tail": [
"88",
"90",
"PERSON",
"Shinobu Shindo"
]
}
],
[
{
"head": [
"114",
"116",
"PERSON",
"Fumie Kumatani"
],
"tail": [
"96",
"98",
"PERSON",
"Heigo Tani"
]
}
],
[
{
"head": [
"114",
"116",
"PERSON",
"Fumie Kumatani"
],
"tail": [
"101",
"103",
"PERSON",
"Everett Bradley"
]
}
],
[
{
"head": [
"114",
"116",
"PERSON",
"Fumie Kumatani"
],
"tail": [
"106",
"108",
"PERSON",
"Akira Sasaki"
]
}
],
[
{
"head": [
"114",
"116",
"PERSON",
"Fumie Kumatani"
],
"tail": [
"111",
"113",
"PERSON",
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]
}
],
[
{
"head": [
"114",
"116",
"PERSON",
"Fumie Kumatani"
],
"tail": [
"119",
"121",
"PERSON",
"Hirokazu Akashi"
]
}
],
[
{
"head": [
"119",
"121",
"PERSON",
"Hirokazu Akashi"
],
"tail": [
"2",
"6",
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"2 x 12\""
]
}
],
[
{
"head": [
"119",
"121",
"PERSON",
"Hirokazu Akashi"
],
"tail": [
"23",
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}
],
[
{
"head": [
"119",
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"PERSON",
"Hirokazu Akashi"
],
"tail": [
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}
],
[
{
"head": [
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],
"tail": [
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}
],
[
{
"head": [
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}
],
[
{
"head": [
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],
"tail": [
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]
}
],
[
{
"head": [
"119",
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],
"tail": [
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}
],
[
{
"head": [
"119",
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],
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}
],
[
{
"head": [
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],
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}
],
[
{
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}
],
[
{
"head": [
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}
],
[
{
"head": [
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],
"tail": [
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]
}
],
[
{
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"Hirokazu Akashi"
],
"tail": [
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"PERSON",
"Fumie Kumatani"
]
}
]
] | [
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[
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[
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[
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[
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[
"114",
"116",
"PERSON",
"Fumie Kumatani"
],
[
"119",
"121",
"PERSON",
"Hirokazu Akashi"
]
] | 277 |
279 | [
"Yanilda Gonzalez received her undergraduate degree in Politics and Latin American Studies from New York University in 2005. She entered Princeton in the fall of 2008 to begin work on a PhD in Politics and Social Policy. She has worked at the New York Civil Liberties Union, as well as a number of human rights and women's rights organizations in Argentina. Her research interests include state formation and state capacity, state-society relations, race and ethnicity, social movements, political participation, and citizenship. Her dissertation focuses on \"participatory security,\" a type of police reform that establishes formal mechanisms for community participation in matters of security in Latin America."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Yanilda Gonzalez received her undergraduate degree in Politics and Latin American Studies from New York University in 2005. She entered Princeton in the fall of 2008 to begin work on a PhD in Politics and Social Policy. She has worked at the New York Civil Liberties Union, as well as a number of human rights and women\'s rights organizations in Argentina. Her research interests include state formation and state capacity, state-society relations, race and ethnicity, social movements, political participation, and citizenship. Her dissertation focuses on "participatory security," a type of police reform that establishes formal mechanisms for community participation in matters of security in Latin America.']
Entities:
[{'head': ['0', '2', 'PERSON', 'Yanilda Gonzalez'], 'tail': ['9', '11', 'NORP', 'Latin American']}]
Relation:
[/INST]
| [
[
{
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]
}
],
[
{
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}
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}
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}
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}
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}
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}
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}
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{
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}
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}
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{
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}
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[
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],
[
{
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}
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[
{
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{
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[
{
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[
{
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}
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{
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}
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}
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}
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}
],
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{
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}
],
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}
],
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}
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}
],
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}
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[
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[
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[
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[
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[
"64",
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"Argentina"
],
[
"120",
"122",
"LOC",
"Latin America"
]
] | 278 |
280 | [
"Download Terri ft Bella Shmurda & Mohbad – Money\nOn this exciting sound, Terri collaborates with Dangbana Republik hitmaker, Bella Shmurda and Marlian Music act, Mohbad.\nMeanwhile, Terri took to his Instagram page announcing his oncoming birthday, which he will present to his fans with this amazing tune.\nFinally, the song is produced by Tuzi Beatz.\nDownload and comment bellow"
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Download Terri ft Bella Shmurda & Mohbad – Money\nOn this exciting sound, Terri collaborates with Dangbana Republik hitmaker, Bella Shmurda and Marlian Music act, Mohbad.\nMeanwhile, Terri took to his Instagram page announcing his oncoming birthday, which he will present to his fans with this amazing tune.\nFinally, the song is produced by Tuzi Beatz.\nDownload and comment bellow']
Entities:
[{'head': ['1', '2', 'WORK_OF_ART', 'Terri'], 'tail': ['3', '5', 'PERSON', 'Bella Shmurda']}]
Relation:
[/INST]
| [
[
{
"head": [
"1",
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"WORK_OF_ART",
"Terri"
],
"tail": [
"3",
"5",
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]
}
],
[
{
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],
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}
],
[
{
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}
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}
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}
],
[
{
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}
],
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{
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}
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{
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}
],
[
{
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}
],
[
{
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}
],
[
{
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}
],
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}
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[
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],
[
{
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],
"tail": [
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}
],
[
{
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]
}
],
[
{
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]
}
],
[
{
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],
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"5",
"PERSON",
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]
}
],
[
{
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]
}
],
[
{
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"6",
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"Mohbad"
],
"tail": [
"18",
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]
}
],
[
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281 | [
"When you work hard on a project and put so much into it, it feels extra special to have it recognized. Imagine my delight to hear that Avenue Magazine wanted to include our Meadow Muse inspiration shoot in their wedding issue. Talk about a great way to start 2015. It’s available now so be sure to get yourself a copy. This shoot was a collaboration with a group of uber-talented wedding vendors. Scroll to the end and give a big hand to everyone involved.\nWould you like to see the portraits of the bride and groom from this shoot?\nVenue: Meadow Muse Pavilion in Fish Creek Park\nRentals: Great Events Group\nWood details: Naturally Chic\nFloral design: Sarah Mayerson Design\nWedding stationery: Ali Finch of Modern Pulp\nTerrarium wedding favours: Plant in Inglewood\nWedding Cakes: Cakeworks\nPhotographs in the Avenue magazine wedding issue: Tara Whittaker Photography"
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
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['When you work hard on a project and put so much into it, it feels extra special to have it recognized. Imagine my delight to hear that Avenue Magazine wanted to include our Meadow Muse inspiration shoot in their wedding issue. Talk about a great way to start 2015. It’s available now so be sure to get yourself a copy. This shoot was a collaboration with a group of uber-talented wedding vendors. Scroll to the end and give a big hand to everyone involved.\nWould you like to see the portraits of the bride and groom from this shoot?\nVenue: Meadow Muse Pavilion in Fish Creek Park\nRentals: Great Events Group\nWood details: Naturally Chic\nFloral design: Sarah Mayerson Design\nWedding stationery: Ali Finch of Modern Pulp\nTerrarium wedding favours: Plant in Inglewood\nWedding Cakes: Cakeworks\nPhotographs in the Avenue magazine wedding issue: Tara Whittaker Photography']
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"Tara Whittaker Photography"
],
"tail": [
"114",
"117",
"FAC",
"Meadow Muse Pavilion"
]
}
],
[
{
"head": [
"171",
"174",
"PERSON",
"Tara Whittaker Photography"
],
"tail": [
"118",
"121",
"LOC",
"Fish Creek Park"
]
}
],
[
{
"head": [
"171",
"174",
"PERSON",
"Tara Whittaker Photography"
],
"tail": [
"124",
"127",
"ORG",
"Great Events Group"
]
}
],
[
{
"head": [
"171",
"174",
"PERSON",
"Tara Whittaker Photography"
],
"tail": [
"137",
"139",
"PERSON",
"Sarah Mayerson"
]
}
],
[
{
"head": [
"171",
"174",
"PERSON",
"Tara Whittaker Photography"
],
"tail": [
"144",
"146",
"PERSON",
"Ali Finch"
]
}
],
[
{
"head": [
"171",
"174",
"PERSON",
"Tara Whittaker Photography"
],
"tail": [
"147",
"149",
"ORG",
"Modern Pulp"
]
}
],
[
{
"head": [
"171",
"174",
"PERSON",
"Tara Whittaker Photography"
],
"tail": [
"166",
"167",
"ORG",
"Avenue"
]
}
]
] | [
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"[{\"relation\": \"LOCATION_OF\", \"head\": \"29 31 OR",
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"\"FLORAL_DESIGN_BY\"",
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"\"VENUE\\_OF\"",
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"\"CREATED_BY\"\n\nor\n\n\"DESIGNED_BY\"\n\n",
"\"CREATED_BY\"\n\nor\n\n\"PUBLISHED_BY\"",
" Published_in\n\n[Explanation: The text states that \"It’s available now",
"{\"PHOTOGRAPHED_BY\": \"\"}\n\nThis relation indicates that the head",
" feature_recognition:{\"relation\": \"MENTIONED_IN\"}\n\nThis relation label",
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"LOCATION_OF\n\n[{'head': ['114', '117',",
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"\"PHOTOGRAPHED_BY\"",
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"\"WEBSITE_PUBLISHER\"\n\nor\n\n\"PUBL",
"PHOTOGRAPHED_BY"
] | [
[
"29",
"31",
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"Avenue Magazine"
],
[
"35",
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"Meadow Muse"
],
[
"51",
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],
[
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[
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],
[
"124",
"127",
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],
[
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"139",
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],
[
"144",
"146",
"PERSON",
"Ali Finch"
],
[
"147",
"149",
"ORG",
"Modern Pulp"
],
[
"166",
"167",
"ORG",
"Avenue"
],
[
"171",
"174",
"PERSON",
"Tara Whittaker Photography"
]
] | 280 |
282 | [
"Bogallan Cottages Black Isle\n£2.75 Inc VAT\nOriginal painting by Deborah Phillips After graduating from Duncan of Jordanstone College of Art, Dundee in 1987 she went on to become the Merchandise designer with the National Trust for Scotland. A similar post with Historic Scotland followed as well as demonstrating for an international art materials company. She now concentrates on painting “jaunty, juicy landscapes” in her Dundee studio and exhibiting throughout the UK and Ireland."
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Bogallan Cottages Black Isle\n£2.75 Inc VAT\nOriginal painting by Deborah Phillips After graduating from Duncan of Jordanstone College of Art, Dundee in 1987 she went on to become the Merchandise designer with the National Trust for Scotland. A similar post with Historic Scotland followed as well as demonstrating for an international art materials company. She now concentrates on painting “jaunty, juicy landscapes” in her Dundee studio and exhibiting throughout the UK and Ireland.']
Entities:
[{'head': ['0', '2', 'ORG', 'Bogallan Cottages'], 'tail': ['5', '9', 'MONEY', '£2.75 Inc VAT']}]
Relation:
[/INST]
| [
[
{
"head": [
"0",
"2",
"ORG",
"Bogallan Cottages"
],
"tail": [
"5",
"9",
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"£2.75 Inc VAT"
]
}
],
[
{
"head": [
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],
"tail": [
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"15",
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"Deborah Phillips"
]
}
],
[
{
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],
"tail": [
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}
],
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{
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],
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}
],
[
{
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],
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]
}
],
[
{
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],
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}
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}
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}
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{
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}
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}
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}
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}
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}
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}
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}
],
[
{
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}
],
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{
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}
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}
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}
],
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{
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]
}
],
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{
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}
],
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{
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}
],
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{
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}
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}
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{
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]
}
],
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}
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}
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}
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}
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}
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}
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}
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}
],
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{
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}
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{
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}
],
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{
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}
],
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}
]
] | [
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"[{\"relation\": \"ALMA_MATER\"}]\n\nThis relation indicates that Bogall",
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"[{\"head\": \"0\", \"tail\": \"27\", \"relation\": \"FOUN",
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"[{\"relation\": \"worked_for\"}]\n\nThis relation indicates that the head entity",
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"[{\"relation\": \"ALMA_MATER\"}]",
"[{\"head\": \"DATE-1987\", \"tail\": \"GPE-D",
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"[{\"head\": \"Merchandise\", \"tail\": \"Dundee\", \"relation",
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"[{\"relation\": \"EMPLOYED_BY\"}]",
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"[{\"relation\": \"ALUMNI_OF\"}]\n\nThis relation indicates that the Duncan",
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"[\"EMPLOYED_BY\"]",
"[\"PREVIOUS_EMPLOYER_OF\"]",
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"[{\"relation\": \"WORKED_IN\"}]\n\nThis relation indicates that Historic Scotland is",
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"LOCATED_IN",
"\"PRICE_OF_GOOD_OR_SERVICE\"",
"\"LOCATION_OF_WORK\"",
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"[{\"head\": \"GPE-Dundee\", \"tail\": \"DATE-19",
"[{\"head\": \"GPE/Dundee\", \"tail\": \"ORG/Mer",
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"[\"EXHIBITS_IN\", \"EXHIBITS_IN_COUNTRY\"]",
"[\"EXHIBITS_IN\"]",
"LOCATED_IN",
"\"PRICE\"",
"LOCATED_IN",
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"[{\"relation\": \"Graduated_from\"}]\n\nOr, if you prefer a more",
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"[{\"relation\": \"worked_for\"}]\n\nThis relation indicates that Deborah",
"WORKED\\_FOR",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Dundee",
"[\"EXHIBITS_IN\", \"EXHIBITS_AT\"] # These labels could",
"EXHIBITS_IN\n\nOr, since the text mentions \"exhibiting throughout",
"\"PRICE_OF_GOOD_OR_SERVICE\"",
"EXHIBITS_IN\n\nThis relation indicates that Deborah Phillips exhibits in Ireland",
"[{\"relation\": \"ALMA_MATER_OF\"}]\n\nThis relation indicates that",
"[\"EXHIBITS_IN\", \"EXHIBITS_FROM\"] # The relation label",
"[{\"relation\": \"EXHIBITED_IN\"}]\n\nThis relation indicates that",
"[{\"relation\": \"EXHIBITED_AT\"}]\n\nor if you mean",
"[{\"relation\": \"worked_for\"}]\n\nThis relation indicates that Deborah",
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ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
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}
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{
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}
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}
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}
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}
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}
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}
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}
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] | [
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284 | [
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285 | [
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ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
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[/INST]
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"Bill"
],
"tail": [
"98",
"99",
"ORG",
"Valentine"
]
}
],
[
{
"head": [
"60",
"61",
"PERSON",
"Bill"
],
"tail": [
"111",
"112",
"FAC",
"Valentine"
]
}
],
[
{
"head": [
"60",
"61",
"PERSON",
"Bill"
],
"tail": [
"117",
"119",
"PERSON",
"Kayla Smith"
]
}
],
[
{
"head": [
"60",
"61",
"PERSON",
"Bill"
],
"tail": [
"120",
"121",
"DATE",
"Annual"
]
}
],
[
{
"head": [
"60",
"61",
"PERSON",
"Bill"
],
"tail": [
"139",
"140",
"CARDINAL",
"325"
]
}
],
[
{
"head": [
"63",
"64",
"ORG",
"Valentine"
],
"tail": [
"4",
"6",
"PERSON",
"Bill Martin"
]
}
],
[
{
"head": [
"63",
"64",
"ORG",
"Valentine"
],
"tail": [
"14",
"18",
"FAC",
"Henry F. Stern Gallery"
]
}
],
[
{
"head": [
"63",
"64",
"ORG",
"Valentine"
],
"tail": [
"20",
"21",
"FAC",
"Valentine"
]
}
],
[
{
"head": [
"63",
"64",
"ORG",
"Valentine"
],
"tail": [
"34",
"35",
"PERSON",
"Bill"
]
}
],
[
{
"head": [
"63",
"64",
"ORG",
"Valentine"
],
"tail": [
"49",
"50",
"PERSON",
"Valentine"
]
}
],
[
{
"head": [
"63",
"64",
"ORG",
"Valentine"
],
"tail": [
"52",
"53",
"GPE",
"Richmond"
]
}
],
[
{
"head": [
"63",
"64",
"ORG",
"Valentine"
],
"tail": [
"60",
"61",
"PERSON",
"Bill"
]
}
],
[
{
"head": [
"63",
"64",
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"Valentine"
],
"tail": [
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"99",
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"Valentine"
]
}
],
[
{
"head": [
"63",
"64",
"ORG",
"Valentine"
],
"tail": [
"111",
"112",
"FAC",
"Valentine"
]
}
],
[
{
"head": [
"63",
"64",
"ORG",
"Valentine"
],
"tail": [
"117",
"119",
"PERSON",
"Kayla Smith"
]
}
],
[
{
"head": [
"63",
"64",
"ORG",
"Valentine"
],
"tail": [
"120",
"121",
"DATE",
"Annual"
]
}
],
[
{
"head": [
"63",
"64",
"ORG",
"Valentine"
],
"tail": [
"139",
"140",
"CARDINAL",
"325"
]
}
],
[
{
"head": [
"98",
"99",
"ORG",
"Valentine"
],
"tail": [
"4",
"6",
"PERSON",
"Bill Martin"
]
}
],
[
{
"head": [
"98",
"99",
"ORG",
"Valentine"
],
"tail": [
"14",
"18",
"FAC",
"Henry F. Stern Gallery"
]
}
],
[
{
"head": [
"98",
"99",
"ORG",
"Valentine"
],
"tail": [
"20",
"21",
"FAC",
"Valentine"
]
}
],
[
{
"head": [
"98",
"99",
"ORG",
"Valentine"
],
"tail": [
"34",
"35",
"PERSON",
"Bill"
]
}
],
[
{
"head": [
"98",
"99",
"ORG",
"Valentine"
],
"tail": [
"49",
"50",
"PERSON",
"Valentine"
]
}
],
[
{
"head": [
"98",
"99",
"ORG",
"Valentine"
],
"tail": [
"52",
"53",
"GPE",
"Richmond"
]
}
],
[
{
"head": [
"98",
"99",
"ORG",
"Valentine"
],
"tail": [
"60",
"61",
"PERSON",
"Bill"
]
}
],
[
{
"head": [
"98",
"99",
"ORG",
"Valentine"
],
"tail": [
"63",
"64",
"ORG",
"Valentine"
]
}
],
[
{
"head": [
"98",
"99",
"ORG",
"Valentine"
],
"tail": [
"111",
"112",
"FAC",
"Valentine"
]
}
],
[
{
"head": [
"98",
"99",
"ORG",
"Valentine"
],
"tail": [
"117",
"119",
"PERSON",
"Kayla Smith"
]
}
],
[
{
"head": [
"98",
"99",
"ORG",
"Valentine"
],
"tail": [
"120",
"121",
"DATE",
"Annual"
]
}
],
[
{
"head": [
"98",
"99",
"ORG",
"Valentine"
],
"tail": [
"139",
"140",
"CARDINAL",
"325"
]
}
],
[
{
"head": [
"111",
"112",
"FAC",
"Valentine"
],
"tail": [
"4",
"6",
"PERSON",
"Bill Martin"
]
}
],
[
{
"head": [
"111",
"112",
"FAC",
"Valentine"
],
"tail": [
"34",
"35",
"PERSON",
"Bill"
]
}
],
[
{
"head": [
"111",
"112",
"FAC",
"Valentine"
],
"tail": [
"49",
"50",
"PERSON",
"Valentine"
]
}
],
[
{
"head": [
"111",
"112",
"FAC",
"Valentine"
],
"tail": [
"52",
"53",
"GPE",
"Richmond"
]
}
],
[
{
"head": [
"111",
"112",
"FAC",
"Valentine"
],
"tail": [
"60",
"61",
"PERSON",
"Bill"
]
}
],
[
{
"head": [
"111",
"112",
"FAC",
"Valentine"
],
"tail": [
"63",
"64",
"ORG",
"Valentine"
]
}
],
[
{
"head": [
"111",
"112",
"FAC",
"Valentine"
],
"tail": [
"98",
"99",
"ORG",
"Valentine"
]
}
],
[
{
"head": [
"111",
"112",
"FAC",
"Valentine"
],
"tail": [
"117",
"119",
"PERSON",
"Kayla Smith"
]
}
],
[
{
"head": [
"117",
"119",
"PERSON",
"Kayla Smith"
],
"tail": [
"4",
"6",
"PERSON",
"Bill Martin"
]
}
],
[
{
"head": [
"117",
"119",
"PERSON",
"Kayla Smith"
],
"tail": [
"14",
"18",
"FAC",
"Henry F. Stern Gallery"
]
}
],
[
{
"head": [
"117",
"119",
"PERSON",
"Kayla Smith"
],
"tail": [
"20",
"21",
"FAC",
"Valentine"
]
}
],
[
{
"head": [
"117",
"119",
"PERSON",
"Kayla Smith"
],
"tail": [
"34",
"35",
"PERSON",
"Bill"
]
}
],
[
{
"head": [
"117",
"119",
"PERSON",
"Kayla Smith"
],
"tail": [
"49",
"50",
"PERSON",
"Valentine"
]
}
],
[
{
"head": [
"117",
"119",
"PERSON",
"Kayla Smith"
],
"tail": [
"52",
"53",
"GPE",
"Richmond"
]
}
],
[
{
"head": [
"117",
"119",
"PERSON",
"Kayla Smith"
],
"tail": [
"60",
"61",
"PERSON",
"Bill"
]
}
],
[
{
"head": [
"117",
"119",
"PERSON",
"Kayla Smith"
],
"tail": [
"63",
"64",
"ORG",
"Valentine"
]
}
],
[
{
"head": [
"117",
"119",
"PERSON",
"Kayla Smith"
],
"tail": [
"98",
"99",
"ORG",
"Valentine"
]
}
],
[
{
"head": [
"117",
"119",
"PERSON",
"Kayla Smith"
],
"tail": [
"111",
"112",
"FAC",
"Valentine"
]
}
],
[
{
"head": [
"117",
"119",
"PERSON",
"Kayla Smith"
],
"tail": [
"120",
"121",
"DATE",
"Annual"
]
}
],
[
{
"head": [
"117",
"119",
"PERSON",
"Kayla Smith"
],
"tail": [
"139",
"140",
"CARDINAL",
"325"
]
}
],
[
{
"head": [
"120",
"121",
"DATE",
"Annual"
],
"tail": [
"4",
"6",
"PERSON",
"Bill Martin"
]
}
],
[
{
"head": [
"120",
"121",
"DATE",
"Annual"
],
"tail": [
"34",
"35",
"PERSON",
"Bill"
]
}
],
[
{
"head": [
"120",
"121",
"DATE",
"Annual"
],
"tail": [
"49",
"50",
"PERSON",
"Valentine"
]
}
],
[
{
"head": [
"120",
"121",
"DATE",
"Annual"
],
"tail": [
"52",
"53",
"GPE",
"Richmond"
]
}
],
[
{
"head": [
"120",
"121",
"DATE",
"Annual"
],
"tail": [
"60",
"61",
"PERSON",
"Bill"
]
}
],
[
{
"head": [
"120",
"121",
"DATE",
"Annual"
],
"tail": [
"63",
"64",
"ORG",
"Valentine"
]
}
],
[
{
"head": [
"120",
"121",
"DATE",
"Annual"
],
"tail": [
"98",
"99",
"ORG",
"Valentine"
]
}
],
[
{
"head": [
"120",
"121",
"DATE",
"Annual"
],
"tail": [
"117",
"119",
"PERSON",
"Kayla Smith"
]
}
],
[
{
"head": [
"139",
"140",
"CARDINAL",
"325"
],
"tail": [
"4",
"6",
"PERSON",
"Bill Martin"
]
}
],
[
{
"head": [
"139",
"140",
"CARDINAL",
"325"
],
"tail": [
"34",
"35",
"PERSON",
"Bill"
]
}
],
[
{
"head": [
"139",
"140",
"CARDINAL",
"325"
],
"tail": [
"49",
"50",
"PERSON",
"Valentine"
]
}
],
[
{
"head": [
"139",
"140",
"CARDINAL",
"325"
],
"tail": [
"52",
"53",
"GPE",
"Richmond"
]
}
],
[
{
"head": [
"139",
"140",
"CARDINAL",
"325"
],
"tail": [
"60",
"61",
"PERSON",
"Bill"
]
}
],
[
{
"head": [
"139",
"140",
"CARDINAL",
"325"
],
"tail": [
"63",
"64",
"ORG",
"Valentine"
]
}
],
[
{
"head": [
"139",
"140",
"CARDINAL",
"325"
],
"tail": [
"98",
"99",
"ORG",
"Valentine"
]
}
],
[
{
"head": [
"139",
"140",
"CARDINAL",
"325"
],
"tail": [
"117",
"119",
"PERSON",
"Kayla Smith"
]
}
]
] | [
"[{\"relation\": \"LOCATED_AT\"}]\n\nThis relation indicates that Bill Martin is",
"EXECUTES_EVENT_AT",
"[\"IS_IDENTIFIED_BY\"]\n\nExplanation:\nIn this context,",
"EXECUTIVE_DIRECTOR_OF\n\nExplanation:\nThe text mentions that",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Bill Martin is",
"[\"IDENTICAL\"]\n\nor, since the entities are the same, you could also use:",
"EXECUTIVE_DIRECTOR_OF",
"EXECUTIVE_DIRECTOR_OF",
"EXECUTES_EVENT_AT",
"[{\"relation\": \"EMAIL_CONTACT\", \"head\": \"4, 6",
"[{\"relation\": \"HOSTS_EVENT_AT\"}]\n\nThis relation indicates that Bill",
"[{\"label\": \"EMAIL_CONTACT\"}]\n\nor\n\n[{\"",
"[\"HEAD_OF\": {\"headEntity\": \"Henry F. Stern Gallery\", \"tail",
"\"HEAD_OF_LOCATION\"\n\nExplanation:\nThe text mentions that",
"LOCATED_AT",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the Henry F",
"[\"HEAD_OF\": {\"headEntity\": \"Henry F. Stern Gallery\", \"tail",
"PART_OF",
"PART_OF",
"[{\"relation\": \"EMAIL_MANAGER_OF\"}]\n\nor\n\n",
"[\"DIRECTED_BY\"]\n\nExplanation:\nThe text mentions that \"Join",
"[{\"relation\": \"HOSTS\"}]\n\nThis text describes an event where Bill Martin,",
"[{\"relation\": \"ORG_MEMBER_OF\", \"head\": \"Valentine",
"[{\"relation\": \"LOCATED_IN\"}]\n\nOr, since the entities are represented",
"[{\"relation\": \"HOSTS\"}]\n\nThis text describes an event where Bill Martin,",
"[{\"head\": \"Valentine\", \"relation\": \"ORGANIZER_OF",
"[{\"head\": \"Valentine\", \"relation\": \"ORGANIZER_OF",
"[{\"label\": \"CONTACT_PERSON\"}]\n\nOr, if you prefer",
"[\"IS_IDENTITY_OF\"]",
"[\"IS_LOCATED_AT\"]\n\nExplanation:\nThe text mentions that",
"[\"DIRECTED_BY\"]\n\nExplanation:\nThe text mentions that \"Join",
"[{\"relation\": \"HOSTS_EVENT_AT\"}]\n\nThis relation indicates that Bill",
"RELATION_TYPE: LOCATED_IN",
"[\"IS_PERSON\", \"SELF_REFERENCE\"]\n\nor\n\n[\"",
"EXECUTIVE_DIRECTOR_OF\n\nExplanation:\nThe text states that \"",
"EXECUTIVE_DIRECTOR_OF\n\nExplanation:\nThe text states that \"",
"HEAD_OF:\n\nExplanation:\nThe text mentions that \"Join Executive Director",
"[{\"relation\": \"CONTACT_PERSON_WITH_PERSON\"}]\n\n",
"[{\"relation\": \"HOSTS_EVENT_AT\"}]\n\nThis relation indicates that Bill",
"\"EMAIL\"",
"[\"DIRECTED_BY\"]\n\nExplanation:\nThe text mentions that \"Join",
"[\"INSIDE\"]",
"[{\"head\": \"Valentine\", \"relation\": \"LOCATED_AT\", \"tail",
"[\"DIRECTED_BY\"]\n\nExplanation:\nThe text mentions that \"Join",
"LOCATION_IN\n\nExplanation:\nThe text mentions that the event takes place",
"[\"DIRECTED_BY\"]\n\nExplanation:\nThe text mentions that \"Join",
"[{\"head\": \"Valentine\", \"relation\": \"ORG_OF\", \"tail",
"[{\"relation\": \"self_ref\"}]\n\n# Explanation:\nThe text",
"[{\"head\": \"Valentine\", \"relation\": \"INSIDE\", \"tail\": \"",
"[{\"label\": \"CONTACT_PERSON\"}]\n\nOr, if you prefer",
"[{\"relation\": \"HOSTS_EVENT_AT\"}]\n\nOr, if you prefer",
"[{\"label\": \"CONTACT_PERSON\"}]\n\nThis text describes an event",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes an event taking place",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the Henry F.",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the small group lun",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes an event taking place",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the event is taking",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes an event taking place",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the small group lun",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the event is taking",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the small group lun",
"[{\"label\": \"CONTACT_PERSON\"}]\n\nOr, if you prefer",
"[{\"relation\": \"LOCATED_IN\"}]\n\nOr, since the text mentions",
"[\"EMAIL_ADDRESS\"]\n\nExplanation:\nThe text mentions the email address",
"[\"IS_IDENTITY_OF\"]",
"[\"IS_LOCATED_AT\"]\n\nExplanation:\nThe text states that \"",
"HEAD_OF:\n\nExplanation:\nThe text mentions that \"Join Executive Director",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are the same:",
"[{\"relation\": \"HOSTS_EVENT_AT\"}]\n\nThis relation indicates that Bill",
"RELATION_TYPE: LOCATED_IN\n\nOr, since the text mentions \"",
"EXECUTIVE_DIRECTOR_OF\n\nExplanation:\nThe text states that \"",
"EXECUTIVE_DIRECTOR_OF\n\nExplanation:\nThe text states that \"",
"HEAD_OF:\n\nExplanation:\nThe text mentions that \"Join Executive Director",
"[{\"relation\": \"EMAIL_CONTACT\", \"head\": \"Bill\", \"tail",
"[{\"relation\": \"HOSTS_EVENT_AT\"}]\n\nThis relation indicates that Bill",
"\"EMAIL\"",
"EXECUTIVE_DIRECTOR",
"[\"INNER_PART_OF\"]",
"[{\"head\": \"Valentine\", \"relation\": \"HOSTS\", \"tail\": \"",
"EXECUTIVE_DIRECTOR",
"[{\"relation\": \"HOSTS\"}]\n\nThis text describes an event at the Valentine museum",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes an event taking place",
"EXECUTIVE_DIRECTOR",
"[{\"relation\": \"SELF\"}]\n\nOr, since the text mentions \"ins",
"[{\"head\": \"Valentine\", \"relation\": \"INSIDE\", \"tail\": \"",
"\"EMAIL_MANAGER\"\nor\n\"CONTACT_PERSON\"\n",
"[{\"relation\": \"HOSTS_EVENT_AT\"}]\n\nThis relation indicates that the",
"\"EMAIL\"\nor\n\"CONTACT_INFO\"\n\n(Note: The",
"EXECUTIVE_DIRECTOR",
"[\"INNER_PART_OF\"]",
"[{\"head\": \"Valentine\", \"relation\": \"HOSTS\", \"tail\": \"",
"EXECUTIVE_DIRECTOR",
"[{\"relation\": \"HOST_OF\"}]\n\nThis relation indicates that the Valentine is the",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes an event taking place",
"EXECUTIVE_DIRECTOR",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{\"head\": \"Valentine\", \"relation\": \"HOSTS\", \"tail\": \"",
"\"EMAIL_MANAGER\"\nor\n\"CONTACT_PERSON\"\n",
"[{\"relation\": \"HOSTS_EVENT_AT\"}]\n\nThis relation indicates that the",
"\"EMAIL\"\nor\n\"CONTACT_INFO\"\n\n(Note: The",
"[\"DIRECTED_BY\"]\n\nExplanation:\nThe text mentions that \"Join",
" [\"HOSTS\"]",
"[{\"HEAD_TYPE\": \"ORGANIZATION\", \"HEAD\": \"Valentine",
"LOCATION_IN_REGION",
"[\"DIRECTED_BY\"]\n\nExplanation:\nThe text mentions that \"Join",
"HOST_OF",
"HOST_OF",
"[{\"label\": \"CONTACT_PERSON\"}]\n\nOr, if you prefer",
"[{\"relation\": \"MANAGER_OF\"}]\n\nThis text describes an event where",
"MANAGER_OF\n\nExplanation:\nThe text mentions that you can contact",
"MANAGER_OF\n\nExplanation:\nThe text mentions that Kayla Smith",
"[{\"relation\": \"MANAGER_OF\"}]\n\nThis text describes an event where",
"MANAGER_OF\n\nExplanation:\nThe text mentions that you can contact",
"[{\"relation\": \"CONTACT_IN_LOCATION\", \"head\": \"Kay",
"[{\"relation\": \"MANAGER_OF\"}]\n\nThis text describes an event where",
"\"MANAGER_OF\"",
"\"MANAGER_OF\"",
"MANAGER_OF\n\nExplanation:\nThe text mentions that Kayla Smith",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"\"EMAIL\"",
"EVENT_STARTS_WITH_PERSON",
"EVENT_STARTS_WITH_PERSON",
"EVENT_STARTS_WITH\n\nExplanation:\nThe text mentions a \"small",
"[{\"relation\": \"LOCATED_IN\"}]\n\nOr, since the text mentions",
"EVENT_STARTS_WITH_PERSON",
"EVENT_AT\n\nExplanation:\nThe text mentions that the \"small group lun",
"[{\"relation\": \"HOSTS_EVENT_AT\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"CONTACT_PERSON\"}]\n\nOr, if you prefer",
" [\"HEAD_ORGANIZES_EVENT_FOR_PERSON\"]",
"[\"CONTACT_PERSON\"]",
"[{\"relation\": \"MANAGES\"}]\n\nThis text describes an event where Bill Martin",
"LOCATION_IN_REGION",
"[\"CONTACT_PERSON\"]",
"EMail_ADDRESS_MANAGER\nORGANIZATION\n\nTherefore, the",
"EMail_ADDRESS_MANAGER\nORGANIZATION\n\nRelation:\n",
"[{\"label\": \"CONTACT_PERSON\"}]"
] | [
[
"4",
"6",
"PERSON",
"Bill Martin"
],
[
"14",
"18",
"FAC",
"Henry F. Stern Gallery"
],
[
"20",
"21",
"FAC",
"Valentine"
],
[
"34",
"35",
"PERSON",
"Bill"
],
[
"49",
"50",
"PERSON",
"Valentine"
],
[
"52",
"53",
"GPE",
"Richmond"
],
[
"60",
"61",
"PERSON",
"Bill"
],
[
"63",
"64",
"ORG",
"Valentine"
],
[
"98",
"99",
"ORG",
"Valentine"
],
[
"111",
"112",
"FAC",
"Valentine"
],
[
"117",
"119",
"PERSON",
"Kayla Smith"
],
[
"120",
"121",
"DATE",
"Annual"
],
[
"139",
"140",
"CARDINAL",
"325"
]
] | 286 |
288 | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['The positive market mood and increasing wage pressures have boosted the pound on Tuesday. This has increased expectations for further large rate hikes by the Bank of England (BoE).\nTag: Andrew Bailey\nSterling has recovered on news that the Bank of England (BoE) may hike interest rates further. The cheerful market mood has helped to support the British currency.\nThe GBP/USD pair has weakened on Thursday morning, as cautious sentiment prevailed in the market ahead of Bank of England’s monetary policy meeting.']
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[{'head': ['13', '14', 'DATE', 'Tuesday'], 'tail': ['25', '29', 'ORG', 'the Bank of England']}]
Relation:
[/INST]
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{
"head": [
"121",
"122",
"PRODUCT",
"Stealth"
],
"tail": [
"78",
"79",
"GPE",
"Morris"
]
}
],
[
{
"head": [
"121",
"122",
"PRODUCT",
"Stealth"
],
"tail": [
"80",
"81",
"GPE",
"MB"
]
}
],
[
{
"head": [
"121",
"122",
"PRODUCT",
"Stealth"
],
"tail": [
"83",
"87",
"ORG",
"BTB Rentals & Hauling"
]
}
],
[
{
"head": [
"146",
"147",
"DATE",
"today"
],
"tail": [
"30",
"31",
"PERSON",
"Sheldon"
]
}
],
[
{
"head": [
"146",
"147",
"DATE",
"today"
],
"tail": [
"32",
"37",
"ORG",
"BTB Trailer Rentals and Hauling"
]
}
],
[
{
"head": [
"146",
"147",
"DATE",
"today"
],
"tail": [
"41",
"45",
"PERSON",
"Lake of the Woods"
]
}
],
[
{
"head": [
"146",
"147",
"DATE",
"today"
],
"tail": [
"46",
"47",
"GPE",
"Calgary"
]
}
],
[
{
"head": [
"146",
"147",
"DATE",
"today"
],
"tail": [
"58",
"59",
"PERSON",
"Sheldon"
]
}
],
[
{
"head": [
"146",
"147",
"DATE",
"today"
],
"tail": [
"64",
"66",
"PERSON",
"Lyle Bauer"
]
}
],
[
{
"head": [
"146",
"147",
"DATE",
"today"
],
"tail": [
"76",
"77",
"GPE",
"Calgary"
]
}
],
[
{
"head": [
"146",
"147",
"DATE",
"today"
],
"tail": [
"78",
"79",
"GPE",
"Morris"
]
}
],
[
{
"head": [
"146",
"147",
"DATE",
"today"
],
"tail": [
"80",
"81",
"GPE",
"MB"
]
}
],
[
{
"head": [
"146",
"147",
"DATE",
"today"
],
"tail": [
"83",
"87",
"ORG",
"BTB Rentals & Hauling"
]
}
],
[
{
"head": [
"156",
"157",
"DATE",
"2020"
],
"tail": [
"30",
"31",
"PERSON",
"Sheldon"
]
}
],
[
{
"head": [
"156",
"157",
"DATE",
"2020"
],
"tail": [
"32",
"37",
"ORG",
"BTB Trailer Rentals and Hauling"
]
}
],
[
{
"head": [
"156",
"157",
"DATE",
"2020"
],
"tail": [
"41",
"45",
"PERSON",
"Lake of the Woods"
]
}
],
[
{
"head": [
"156",
"157",
"DATE",
"2020"
],
"tail": [
"46",
"47",
"GPE",
"Calgary"
]
}
],
[
{
"head": [
"156",
"157",
"DATE",
"2020"
],
"tail": [
"58",
"59",
"PERSON",
"Sheldon"
]
}
],
[
{
"head": [
"156",
"157",
"DATE",
"2020"
],
"tail": [
"64",
"66",
"PERSON",
"Lyle Bauer"
]
}
],
[
{
"head": [
"156",
"157",
"DATE",
"2020"
],
"tail": [
"76",
"77",
"GPE",
"Calgary"
]
}
],
[
{
"head": [
"156",
"157",
"DATE",
"2020"
],
"tail": [
"78",
"79",
"GPE",
"Morris"
]
}
],
[
{
"head": [
"156",
"157",
"DATE",
"2020"
],
"tail": [
"80",
"81",
"GPE",
"MB"
]
}
],
[
{
"head": [
"156",
"157",
"DATE",
"2020"
],
"tail": [
"83",
"87",
"ORG",
"BTB Rentals & Hauling"
]
}
],
[
{
"head": [
"157",
"158",
"PRODUCT",
"Stealth"
],
"tail": [
"30",
"31",
"PERSON",
"Sheldon"
]
}
],
[
{
"head": [
"157",
"158",
"PRODUCT",
"Stealth"
],
"tail": [
"32",
"37",
"ORG",
"BTB Trailer Rentals and Hauling"
]
}
],
[
{
"head": [
"157",
"158",
"PRODUCT",
"Stealth"
],
"tail": [
"41",
"45",
"PERSON",
"Lake of the Woods"
]
}
],
[
{
"head": [
"157",
"158",
"PRODUCT",
"Stealth"
],
"tail": [
"46",
"47",
"GPE",
"Calgary"
]
}
],
[
{
"head": [
"157",
"158",
"PRODUCT",
"Stealth"
],
"tail": [
"58",
"59",
"PERSON",
"Sheldon"
]
}
],
[
{
"head": [
"157",
"158",
"PRODUCT",
"Stealth"
],
"tail": [
"64",
"66",
"PERSON",
"Lyle Bauer"
]
}
],
[
{
"head": [
"157",
"158",
"PRODUCT",
"Stealth"
],
"tail": [
"76",
"77",
"GPE",
"Calgary"
]
}
],
[
{
"head": [
"157",
"158",
"PRODUCT",
"Stealth"
],
"tail": [
"78",
"79",
"GPE",
"Morris"
]
}
],
[
{
"head": [
"157",
"158",
"PRODUCT",
"Stealth"
],
"tail": [
"80",
"81",
"GPE",
"MB"
]
}
],
[
{
"head": [
"157",
"158",
"PRODUCT",
"Stealth"
],
"tail": [
"83",
"87",
"ORG",
"BTB Rentals & Hauling"
]
}
],
[
{
"head": [
"161",
"162",
"DATE",
"today"
],
"tail": [
"30",
"31",
"PERSON",
"Sheldon"
]
}
],
[
{
"head": [
"161",
"162",
"DATE",
"today"
],
"tail": [
"32",
"37",
"ORG",
"BTB Trailer Rentals and Hauling"
]
}
],
[
{
"head": [
"161",
"162",
"DATE",
"today"
],
"tail": [
"41",
"45",
"PERSON",
"Lake of the Woods"
]
}
],
[
{
"head": [
"161",
"162",
"DATE",
"today"
],
"tail": [
"46",
"47",
"GPE",
"Calgary"
]
}
],
[
{
"head": [
"161",
"162",
"DATE",
"today"
],
"tail": [
"58",
"59",
"PERSON",
"Sheldon"
]
}
],
[
{
"head": [
"161",
"162",
"DATE",
"today"
],
"tail": [
"64",
"66",
"PERSON",
"Lyle Bauer"
]
}
],
[
{
"head": [
"161",
"162",
"DATE",
"today"
],
"tail": [
"76",
"77",
"GPE",
"Calgary"
]
}
],
[
{
"head": [
"161",
"162",
"DATE",
"today"
],
"tail": [
"78",
"79",
"GPE",
"Morris"
]
}
],
[
{
"head": [
"161",
"162",
"DATE",
"today"
],
"tail": [
"80",
"81",
"GPE",
"MB"
]
}
],
[
{
"head": [
"161",
"162",
"DATE",
"today"
],
"tail": [
"83",
"87",
"ORG",
"BTB Rentals & Hauling"
]
}
]
] | [
"[{\"relation\": \"OWNER_OF\"}]\n\nOr, if you prefer to",
"[{'head': 'Sheldon', 'tail': 'Lake of the Woods', '",
"[\"TRANSPORTED_TO\"]",
"[{\"head\": \"Sheldon\", \"tail\": \"Sheldon\", \"relation\":",
"[\"CLIENT_OF\"]",
"[\"TRANSPORTED_TO\"]",
"[{'head': 'Sheldon', 'tail': 'Morris', 'label':",
"[{'head': 'Sheldon', 'tail': 'MB', 'label': 'LOC",
"[{\"relation\": \"OWNER_OF\"}]\n\nOr, if you prefer to",
"[{'head': 'Sheldon', 'tail': 'today', 'label': '",
"[{\"relation\": \"PRODUCED_BY\"}]\n\nThis relation indicates that She",
"[{\"relation\": \"PRODUCED_BY\"}]\n\nThis relation indicates that the",
"[{'head': 'Sheldon', 'tail': 'today', 'label': '",
"[{\"head\": \"Sheldon\", \"tail\": \"2020\"}]\n",
"[{\"relation\": \"PRODUCED_BY\"}]\n\nThis relation indicates that She",
"[{'head': 'Sheldon', 'tail': 'today', 'label': '",
"[{\"relation\": \"EMPLOYED_BY\"}]\n\nOr, if you prefer",
"[{\"relation\": \"ORIGIN_PLACE_OF_HEAD_ENTITY\"}]",
"[\"PROVIDES_SERVICE_TO\"]",
"[{\"relation\": \"OWNER_OF\"}]\n\nOr, if you prefer to",
"CLIENT\n\nOr, if you prefer, the relation label is \"client\\_of\". So the",
"[\"PROVIDES_SERVICE_TO\"]",
"[{'head': 'BTB Trailer Rentals and Hauling', 'tail':",
"[\"LOCATION_OF\"]",
"[\"IDENTICAL\"]\n\nExplanation:\nThe entities refer to the same organization, so",
"[\"PICKED\\_UP\"]",
"[\"RENTAL_PROVIDER\", \"PRODUCT\"]",
"[\"RENTAL_PROVIDER\", \"PRODUCT\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]",
"[\"RENTAL_PROVIDER\", \"PRODUCT\"]",
"[\"PICKED\\_UP\"]",
"[{\"head\": \"Lake of the Woods\", \"tail\": \"Sheldon\", \"",
"\"RENTED_FROM\"",
"[{'head': 'Lake of the Woods', 'tail': 'Calgary', '",
"[{\"head\": \"Lake of the Woods\", \"tail\": \"Sheldon\", \"",
"[{'head': 'Lake of the Woods', 'tail': 'Lyle Bauer',",
"[{'head': 'Lake of the Woods', 'tail': 'Calgary', '",
"[{'head': 'Lake of the Woods', 'tail': 'Morris', '",
"[{'head': 'Lake of the Woods', 'tail': 'MB', 'label':",
"[{\"relation\": \"rented_from\"}]\n\nThis relation indicates that the Lake of",
"[{'head': 'Lake of the Woods', 'tail': 'today', 'label",
"[{\"relation\": \"PICKED_UP\"}]\n\nThis relation indicates that the Lake",
"[{'relation': 'PICKED_UP'}]\n\nThis relation indicates that the Lake",
"[{'head': 'Lake of the Woods', 'tail': 'today', 'label",
"[{\"head\": \"Lake of the Woods\", \"tail\": \"2020\",",
"[{'relation': 'PICKED_UP'}]\n\nThis relation indicates that the Lake",
"[{'head': 'Lake of the Woods', 'tail': 'today', 'label",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"Calgary\", \"tail",
"[\"LOCATION_OF\"]",
"[{'head': 'Calgary', 'tail': 'Lake of the Woods', '",
"[\"LOCATION_OF\": {\"head\": \"Calgary\", \"tail\": \"Sheld",
"GOING_TO",
"[\"GOES_TO\"]",
"[\"TRAVELS_FROM\"]",
"[\"TRAVELS_FROM\"]",
"LOCATION_OF\n(Calgary is the location of BTB Rentals & H",
"[{'head': ['Calgary'], 'tail': ['today'], 'label': '",
"\"PRODUCT\\_LOCATED\\_AT\"",
"DELIVERED\n\nOr, if you prefer, you could also use the label:\n",
"[{'head': ['Calgary'], 'tail': ['today'], 'label': '",
"GOING_TO",
"DELIVERED\n\nOr, if you prefer a more explicit label:\n\n[{'",
"[{'head': ['Calgary'], 'tail': ['today'], 'label': '",
"[{\"head\": \"Sheldon\", \"tail\": \"Sheldon\", \"relation\":",
"[{\"relation\": \"OWNER_OF\"}]\n\nOr, if you prefer to",
"[{'head': 'Sheldon', 'tail': 'Lake of the Woods', '",
"[\"TRANSPORTED_TO\"]",
"[\"CLIENT_OF\"]",
"[\"TRANSPORTED_TO\"]",
"[{'head': 'Sheldon', 'tail': 'Morris', 'label':",
"[{'head': 'Sheldon', 'tail': 'MB', 'label': 'LOC",
"[{\"relation\": \"OWNER_OF\"}]\n\nOr, if you prefer to",
"[\"PICKED\\_UP\"]",
"[{\"relation\": \"PRODUCED_BY\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"PRODUCED_BY\"}]\n\nThis relation indicates that the",
"[{'head': 'Sheldon', 'tail': 'today', 'label': '",
"[{\"head\": \"Sheldon\", \"tail\": \"2020\"}]\n",
"[{\"relation\": \"PRODUCED_BY\"}]\n\nThis relation indicates that the",
"[{\"head\": \"Sheldon\", \"tail\": \"today\", \"label\": \"",
"APPreciates ---> CLIENT_OF\n\nOr, if you prefer a more direct",
"CLIENT_OF\n\n[{'head': ['64', '66', 'PERSON",
"[{'head': 'Lyle Bauer', 'tail': 'Lake of the Woods',",
"[\"TRAVELS_TO\"]",
"[{\"relation\": \"APPreciates_SERVICE_FROM\"}]\n\nThis relation indicates that",
"[\"TRAVELS_TO\"]",
"[{'head': 'Lyle Bauer', 'tail': 'Morris', 'relation",
"[{'head': 'PERSON', 'tail': 'GPE', 'label': 'FROM",
"CLIENT_OF",
"[\"PICKED\\_UP\"]",
" purchased\n\n[{'head': ['64', '66', 'PERSON', '",
" purchased\n\n[{'head': ['64', '66', 'PERSON', '",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]",
" purchased\n\n[{'head': ['64', '66', 'PERSON', '",
"[\"PICKED\\_UP\"]",
"[\"PROVIDED_SERVICE_TO\"]",
"[\"LOCATION_OF\"]",
"[{'head': 'Calgary', 'tail': 'Lake of the Woods', '",
"[\"HEAD_LOCATION_Same_AS_TAIL_LOCATION\"]\nor\n[\"",
"[\"PROVIDED_SERVICE_TO\"]",
"GOING_TO",
"[\"TRAVEL_FROM_TO\"]",
"[\"TRAVELS_FROM\"]",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the speaker went from",
"[{'head': ['76', '77', 'GPE', 'Calgary",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"Calgary\", \"tail",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"Calgary\", \"tail",
"[{'head': ['GPE', 'Calgary'], 'tail': ['DATE', '",
"GOING_TO",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"Calgary\", \"tail",
"[{'head': ['GPE', 'Calgary'], 'tail': ['DATE', '",
"[{'head': 'Morris', 'tail': 'Sheldon', 'label':",
"[\"LOCATION_OF\"] # Morris is the location of BTB Trailer Rentals and",
"[{'head': 'Morris', 'tail': 'Lake of the Woods', '",
"[{'head': 'Morris', 'tail': 'Calgary', 'label':",
"[{'head': 'Morris', 'tail': 'Sheldon', 'label':",
"[{'head': 'Morris', 'tail': 'Lyle Bauer', 'label",
"[{'head': 'Morris', 'tail': 'Calgary', 'label':",
"[{'head': 'Morris', 'tail': 'MB', 'label': 'LOC",
"\"PROVIDES_SERVICE_FROM_LOCATION\"",
"[{'head': 'Morris', 'tail': 'today', 'label': '",
"[\"PICKED\\_UP\"]\n\nExplanation:\nThe text mentions that a",
"[\"PICKED\\_UP\"]\n\nExplanation:\nThe text mentions that a",
"[{'head': 'Morris', 'tail': 'today', 'label': '",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]\n\nThis relation indicates that the head entity (Morris",
"[\"PICKED\\_UP\"]",
"[{\"head\": \"GPE-MB\", \"tail\": \"PERSON-Sheldon",
"[\"LOCATED_IN\"]\n\nExplanation:\nThe text mentions that the entities",
"[{'head': 'MB', 'tail': 'Lake of the Woods', 'label':",
"[\"TRAVELS_FROM\"]\n\nExplanation:\nThe text mentions that",
"[{\"head\": \"MB\", \"tail\": \"Sheldon\", \"relation\": \"LOC",
"[{'head': ['80', '81', 'GPE', 'MB'], '",
"[\"TRAVELS_FROM\"]\n\nExplanation:\nThe text mentions that",
"[{'head': 'MB', 'tail': 'Morris', 'label': 'LOC",
"[\"PROVIDES_SERVICE\"]\n\nExplanation:\nThe text mentions that L",
"[{'head': ['80', '81', 'GPE', 'MB'], '",
"[\"PICKED\\_UP\"]\n\nExplanation:\nThe text mentions that a",
"[{'pick_up': NO_RELATION, 'purchased': ['PICKED",
"[{'head': ['80', '81', 'GPE', 'MB'], '",
"[\"PICKED\\_UP\"]",
"[{'pick_up': NO_RELATION, 'purchased': ['purchased",
"[\"PICKED\\_UP\"]",
"[{\"relation\": \"OWNER_OF\"}]\n\nOr, since the text ment",
"[\"IDENTICAL\"]\n\n[{'head': \"BTB Rentals & Hauling",
"[\"PROVIDED_SERVICE_FROM\"]",
"[\"PROVIDES_SERVICE_TO\"]",
"[{\"relation\": \"OWNER_OF\"}]\n\nOr, if you prefer to",
"CLIENT\n\nOr, if you prefer, the relation label is \"client\\_of\". So the",
"[\"PROVIDES_SERVICE_TO\"]",
"[{\"head\": \"BTB Rentals & Hauling\", \"tail\": \"M",
"[{\"head\": \"BTB Rentals & Hauling\", \"tail\": \"MB",
"[\"PICKED\\_UP\"]",
"[\"PRODUCER_OF\"]",
"[\"PRODUCES\"]",
"[{\"relation\": \"PICKED_UP\"}]\n\nThis relation indicates that the head",
"[\"PICKED\\_UP\"]",
"[{\"relation\": \"PRODUCES\"}]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\\_AT\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\\_AT\"]",
"[\"PICKED\\_UP\\_FROM\"]",
"[{'pickup': ['2020', '80', 'GPE', '",
"[\"PICKED\\_UP\"]",
"[\"PRODUCED_BY\"]",
"[\"PRODUCED_BY\"]",
"[{\"relation\": \"ORIGINATED_FROM\"}]\n\nThis relation indicates that the",
"[\"GOES_TO\"]\n\nExplanation:\nThe text mentions that a Ste",
"[\"PRODUCED_BY\"]",
" bought\n\n[{'head': 'Stealth', 'tail': 'Lyle Bauer'",
"[\"GOES_TO\"]\n\nExplanation:\nThe text mentions that a Ste",
"[\"PRODUCED_IN\"]",
"[{'source': 'PRODUCT', 'target': 'GPE', 'relation': 'OR",
"[\"PRODUCED_BY\"]",
"[{\"relation\": \"OWNER_OF\"}]\n\nOr, since the text ment",
"[\"PRODUCED_BY\"]",
"[{\"relation\": \"ORIGINATED_FROM\"}]\n\nExplanation:\n",
"[\"GOES_TO\"]\n\nExplanation:\nThe text mentions that a Ste",
"[\"PRODUCED_BY\"]",
" bought\n\n[{'head': 'Stealth', 'tail': 'Lyle Bauer'",
"[\"GOES_TO\"]",
"[{'source': 'PRODUCT', 'target': 'GPE', 'relation': 'OR",
"[{'source': 'PRODUCT', 'target': 'GPE', 'relation': 'OR",
"[\"PRODUCED_BY\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\\_AT\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\\_AT\"]",
"[\"PICKED\\_UP\\_FROM\"]",
"[{'pickup': ['ENTITY_1', 'ENTITY_2']}, {'location",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]",
"[\"RENTED_FROM\"]",
"[{'relation': 'ORIGIN'}]",
"[\"GOES_TO\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]",
"[\"GOES_TO\"]",
"[\"PICKED\\_UP\\_FROM\"]",
"[\"PICKED\\_UP\\_IN\"]",
"[\"RENTED_FROM\"]",
"[{\"relation\": \"OWNER_OF\"}]\n\nOr, since the text ment",
"[\"PRODUCED_BY\"]",
"[{'relation': 'ORIGINATED_FROM'}]\n\nThis relation indicates that the",
"[\"GOES_TO\"]\n\nExplanation:\nThe text mentions that a Ste",
"[{\"relation\": \"OWNER_OF\"}]\n\nOr, since the text ment",
" bought\n\n[{'head': 'Stealth', 'tail': 'Lyle Bauer'",
"[\"GOES_TO\"]\n\nExplanation:\nThe text mentions that a Ste",
"[{'source': 'PRODUCT', 'target': 'GPE', 'relation': 'OR",
"[{'source': 'PRODUCT', 'target': 'GPE', 'relation': 'OR",
"[\"PRODUCED_BY\"]",
"[\"PICKED\\_UP\\_BY\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\\_AT\"]",
"[\"PICKED\\_UP\"]\n\n[{'head': ['161', '1",
"[\"PICKED\\_UP\"]",
"[\"PICKED\\_UP\\_AT\"]",
"[{'pickup': ['NO_RELATION', '2020', 'GPE",
"[{'pick_up': ['NO_RELATION', '2020', 'G",
"[\"PICKED\\_UP\"]"
] | [
[
"30",
"31",
"PERSON",
"Sheldon"
],
[
"32",
"37",
"ORG",
"BTB Trailer Rentals and Hauling"
],
[
"41",
"45",
"PERSON",
"Lake of the Woods"
],
[
"46",
"47",
"GPE",
"Calgary"
],
[
"58",
"59",
"PERSON",
"Sheldon"
],
[
"64",
"66",
"PERSON",
"Lyle Bauer"
],
[
"76",
"77",
"GPE",
"Calgary"
],
[
"78",
"79",
"GPE",
"Morris"
],
[
"80",
"81",
"GPE",
"MB"
],
[
"83",
"87",
"ORG",
"BTB Rentals & Hauling"
],
[
"107",
"108",
"DATE",
"today"
],
[
"112",
"113",
"PRODUCT",
"Stealth"
],
[
"121",
"122",
"PRODUCT",
"Stealth"
],
[
"146",
"147",
"DATE",
"today"
],
[
"156",
"157",
"DATE",
"2020"
],
[
"157",
"158",
"PRODUCT",
"Stealth"
],
[
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"ORG",
"Golden State"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"38",
"39",
"CARDINAL",
"103"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"42",
"44",
"PERSON",
"Draymond Green"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"45",
"47",
"PERSON",
"Andre Iguodala"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"49",
"50",
"CARDINAL",
"14"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"53",
"54",
"ORG",
"Warriors"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"58",
"59",
"CARDINAL",
"1"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"68",
"69",
"CARDINAL",
"seven"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"69",
"70",
"LOC",
"West"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"73",
"75",
"PERSON",
"James Harden"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"76",
"77",
"CARDINAL",
"35"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"81",
"82",
"ORG",
"Rockets"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"83",
"85",
"PERSON",
"Eric Gordon"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"86",
"87",
"CARDINAL",
"27"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"88",
"90",
"PERSON",
"Chris Paul"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"91",
"92",
"CARDINAL",
"17"
]
}
],
[
{
"head": [
"109",
"111",
"ORG",
"Getty Images"
],
"tail": [
"97",
"99",
"TIME",
"four seconds"
]
}
]
] | [
"[{\"relation\": \"SCORED_POINTS_FOR\"}]\n\nThis relation indicates",
"LEADS\n\n[{'head': ['0', '2', 'PERSON', '",
"[\"SCORED_ON\", \"11\", \"0\"]\n\nOr, if you",
"[{\"head\": \"0\", \"tail\": \"18\", \"relation\": \"LEAD",
"[{\"head\": \"0\", \"rel\": \"PLAYED_AT\", \"tail\": \"",
"SCORER_OF\n\n[{'head': ['0', '2', 'PERSON",
"SCORER_OF\n\n[{'head': ['0', '2', 'PERSON",
"[\"SCORED_ON\", \"Kevin Durant\", \"Warriors\", \"three\"]",
"LEADS_TO_VICTORY_FOR\n\nExplanation:\nThe text",
"[\"SCORED_ON\"\"]\n\nExplanation:\nThe relation \"SCOR",
"[{\"relation\": \"TEAMMATE\"}]\n\nOr, if you prefer a more",
"TEAMMATE",
"[\"SCORED_WITH_POINTS_MORE_THAN\"\"]\n\nEx",
"LEADS\n\n[{'head': ['0', '2', 'PERSON', '",
"[\"SCORED_ON\"\"]\n\nExplanation:\nThe text states that \"",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the entities",
"LEADS_IN_SERIES\n\nExplanation:\nThe text mentions that",
"[{\"relation\": \"OPPONENT_OF\"}]\n\nThis relation indicates that Kevin",
"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"Kevin",
"[\"OPPONENT\"]",
"[{\"relation\": \"SCORED_OPPONENT\"}]\n\nOr, if",
"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"Kevin",
"NO_RELATION.",
"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"Kevin",
"ARGUES_WITH\n\n[{'head': ['0', '2', 'PERSON',",
"NO_RELATION.",
"SCORED\n\n[{'head': ['3', '4', 'CARDINAL",
"[\"SCORED_FOR\"]",
"[{\"head\": \"35\", \"relation\": \"SCORED_POINTS_FOR",
"SCORER_OF\n\n[{'head': ['3', '4', 'CARD",
"[\"SCORED_FOR\"]",
"[\"SCORER_FOR\", \"HEAD.head\", \"HEAD.tail\"]\n\nor",
"[{\"relation\": \"SCORER_TEAMMATE\"}]",
"[\"SCORED_FOR\"]",
"LEADS_IN_SERIES\n\nExplanation:\nThe text mentions that",
"SCORED_AGAINST\n\nThis means that Kevin Durant scored against James Harden",
"[{\"head\": \"35\", \"relation\": \"SCORED_POINTS_FOR",
"SCORDED_BY\n\nExplanation:\nIn the context provided, Kevin Durant",
"ARGUES_WITH",
"NO_RELATION.",
"[\"LEADS\"]",
"[\"SCORED_BY\"]",
"[{\"relation\": \"SCORED_POINTS_FOR_TEAM_IN_G",
"[{\"relation\": \"HOST_OF\"}]\n\nExplanation:\nThe Warriors",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the Warriors",
"[{\"relation\": \"SCORER_OF\", \"head\": \"Warriors\", \"tail",
"[{\"relation\": \"SCORER_OF\"}]\n\nThis relation indicates that Stephen Cur",
"[\"SCORING\"]\n\nExplanation:\nThe relation \"SCORING\" indicates",
"[{\"relation\": \"sub_organization_of\"}]\n\nExplanation:\n",
"\"SCORING_FOR_TEAM\"",
"[\"TEAM_MEMBER\"]",
"[\"PLAYED_FOR\"]",
"[\"POSTED\"]",
"[{\"relation\": \"member_of\"}]\n\nThis relation indicates that the Warriors are",
"LEAD_TEAM_WITH_SCORE",
"\"SERIES_HAS_LENGTH\"",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the Warriors",
"OPPONENT",
"[\"SCORED_POINTS\"]",
"OPPONENT",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[\"ADD_POINTS_FOR\"]\n\nExplanation:\nThe text states that Eric",
"ARGUES_WITH",
"[{\"contributed_points\": \"CONTIBUTED_TO\"}]\n\nThis relation",
"[{\"relation\": \"ARGUES_DURING_FOUL_CALL_BEFORE_",
"[{\"relation\": \"IMAGE_SOURCE\"}]",
"SCORED\n\n[{'head': ['104'], 'relation': 'SCOR",
"\"VICTORY_FOR\"",
"[{\"location\": \"venue\", \"relation\": \"occurred_at\"}]\n\n",
"SCORER_OF\n\n[{'head': ['11', '12', '",
"[{\"relation\": \"SCORED_FOR\"}]\n\nThis relation indicates that the head",
"SCORED_FOR\n\n[{'head': ['11', '12', '",
"[\"SCORED_FOR\"]",
"\"SCORED_FOR\"\n\nExplanation:\nThe text states that \"K",
"[{\"relation\": \"WON_IN_SECTION\", \"head\": \"104",
"SCORER_OF\n\n[{'head': ['11', '12', '",
"[{\"relation\": \"OPPONENT_OF\"}]\n\nThis relation indicates that the",
"SCORED_AGAINST\n\nThis indicates that Eric Gordon scored against the team with the",
"ARGUES_WITH",
"[{\"relation\": \"PHOTO_OF\"}]",
"[\"LEADS\"]",
"[{\"relation\": \"WON_FOR\"}]\n\nThis relation represents that the event (",
"[{\"head\": \"Game One\", \"tail\": \"Oakland\", \"label\": \"",
"SCORED_FOR\n\nExplanation:\nThe relation \"SCORED_FOR",
"[{\"relation\": \"LEADS_TO_VICTORY_FOR\"}]\n\n",
"[\"SCORED_FOR\"]",
"[\"SCORED_FOR\"]",
"[{\"relation\": \"WON_BY\"}]\n\nThis relation indicates that the Warriors",
"[{\"relation\": \"PART_OF\", \"head\": \"Game One\", \"tail\": \"",
"SCORER_OF\n\n[{'head': ['18', '20', '",
"OPPONENT",
"SCORER_AGAINST\n\nThis relation indicates that Eric Gordon was the scoring opponent of",
"ARGUES_FOUL_WITH\n\nExplanation:\nThe context mentions that Chris",
"[{\"relation\": \"IMAGE_SOURCE\"}]",
"SCORED_IN\n\n[{'head': ['21', '22', '",
"[{\"relation\": \"SCORED_FOR\"}]\n\nThis relation indicates that the head",
"[{\"location\": \"hosted\"}]\n\nThis relation indicates that Oakland hosted the War",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"LOCATION_OF_EVENT",
"LEAD_TO\n\nExplanation:\nIn the context provided, \"Stephen Cur",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"PREP_FOR_EVENT_AT\"}]\n\nExplanation",
"LOCATION_OF_EVENT\n\nExplanation:\nThe text describes the location (O",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"PLAYED_FOR\"}]\n\nExplanation:\nThe text",
"\"PLAYED_FOR\"\n\nExplanation:\nThe text mentions that \"And",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"[{\"location\": \"hosted\", \"relation\": \"LOCATION_HOSTED_EVENT\",",
"[{\"location\": \"host_city\", \"relation\": \"LOCATED_IN\"}]\n",
"LOCATION_OF_EVENT\n\nExplanation:\nThe text describes that the \"West",
"[{\"location\": \"in\", \"relation\": \"happened_in\"}]\n\n",
"SCORED_AGAINST\n\nThis relation indicates that the head entity (Oakland",
"[{\"relation\": \"SCORED_IN_LOCATION\"}]\n\nThis relation indicates",
"OPPONENT",
"[{\"relation\": \"SCORER_AGAINST\", \"head\": \"85\",",
"[{\"location\": \"took place in\", \"relation\": \"LOCATION_OF\"}]",
"ARGUES_FOUL_CALL_WITH\n\nExplanation:\nThe context mentions",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"ARGUED_FOR_FOUL_CALL_WITH_SECOND_REMAINING",
"[{\"relation\": \"PHOTO_SOURCE_LOCATION\"}]\n\nOr, if",
"SCORER_OF\n\n[{'head': 'Stephen Curry', 'tail':",
"[{\"relation\": \"SCORED_POINTS_WITH\", \"head\": \"Stephen",
"\"PLAYER_OF\"",
"[\"SCORED_ON\"\"]\n\nExplanation:\nThe text states that \"",
"[{\"relation\": \"PART_OF\"}]\n\nExplanation:\nStephen Cur",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Stephen Curry",
"SCORED_POINTS\n\nThis relation represents that Stephen Curry scored 18 points",
"[\"SCORED_BY\", \"Stephen Curry\", \"three\"]",
"PLAYER_OF\n\n[{'head': ['Stephen Curry'], 'tail': ['",
"[\"SCORED_ON\"\"]\n\nExplanation:\nThe text states that \"",
"TEAMMATE\n\n[{'head': ['25', 'PERSON', 'Step",
"TEAMMATE",
"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"Stephen",
"\"PLAYER_OF\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text describes statistical information about basketball players and the score in a",
"[{\"relation\": \"PLAYS_IN\"}]\n\nThis relation indicates that Stephen Curry",
"[{\"relation\": \"OPPONENT\"}]",
"[{\"relation\": \"SCORED_POINTS_FOR\"}]\n\nThis relation indicates",
"NO_RELATION.\n\nThe text describes Stephen Curry scoring points for the Warriors and",
"[{\"relation\": \"OPPONENT\"}]",
"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"Stephen",
"ARGUES_WITH",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"ARGUES_WITH\n\n[{'head': ['97', '99', 'PER",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"SCORED\n\nEntities:\n[{'head': ['26', '27',",
"[{\"relation\": \"SCORED_FOR\"}]\n\nThis relation indicates that the head",
"[{\"location\": \"host_city\", \"relation\": \"located_in\"}]\n",
"SCORED_BY\n\nExplanation:\nThe text states that \"Stephen Cur",
"[{\"relation\": \"SCORED_FOR\"}]\n\nThis relation indicates that the head",
"[\"SCORDED_BY\"]",
"[\"SCORED_FOR\"]",
"[{\"relation\": \"SCORED_FOR\"}]\n\nThis relation indicates that the head",
"[{\"relation\": \"PLAYS_IN\"}]\n\nThis relation indicates that the entities represented",
"SCORED_AGAINST\n\nThis relation indicates that the head entity (Kevin Dur",
"[{\"relation\": \"OPPONENT_OF\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"SCORED_AGAINST\"}]\n\nOr, since the",
"ARGUES_WITH",
"[{\"relation\": \"PHOTO_OF\"}]",
"[\"SCORED_BY\"]",
"[\"SCORED_FOR\"]",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nOr, if you prefer",
"SCORED_BY\n\nExplanation:\nThe text states that \"Stephen Cur",
"[\"SCORED_FOR\"]",
"[\"SCORER_FOR\", \"SCORER_OF\"]\n\nor\n\n[\"",
"[\"SCORER_FOR\", \"SCORER_OF\"]",
"[\"SCORED_FOR\"]",
"[\"WIN_IN_CONFERENCE\", \"Warriors\", \"West\"]\n\n[{'",
"SCORED_ON\n\nExplanation:\nThe head entity \"Kevin Durant",
"[{\"relation\": \"SCORED_AGAINST\"}]\n\nThis relation indicates that",
"[\"SCORED_ON\"]",
"ARGUES_WITH",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"SCORED_FOR\n\n[{'head': ['35', '37', '",
"[\"SCORED_BY\"]",
"[{\"relation\": \"sub_organization_of\"}]\n\nThis relation indicates that the",
"[\"SCORING_VICTORY\"]\n\nExplanation:\nThe relation \"SC",
"[{\"head\": \"35, 37, ORG, Golden State\", \"tail",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the head entity",
"SCORED_FOR\n\n[{'head': ['35', '37', '",
"SCORED_AGAINST\n\nThis relation indicates that the head entity (Golden State",
"[\"SCORED_ON\", \"35, 37, ORG, Golden State",
"[\"SCORED_POINTS_FOR\"]",
"[{\"relation\": \"SCORER_TEAMMATE\"}]\n\nOr, if",
"[\"SCORED_FOR\"]",
"[\"SCORED_FOR\"]",
"[{\"relation\": \"sub_organization_of\"}]\n\nThis relation indicates that the",
"[\"SCORED_FOR\"]",
"LEADS_TO\n\n[{'head': [\"37\", \"Golden State\"],",
"[{\"relation\": \"LEADS_IN_SERIES_AT_LOCATION\"}]",
"SCORRED_AGAINST\n\nThis means that James Harden is the tail entity (",
"[{\"relation\": \"SCORER_OF\"}]\n\nThis relation indicates that the head",
"OPPONENT",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"SCORED_MORE_POINTS_THAN\"}]\n",
"ARGUES_FOUL_OF_HEAD_TEAM_OF_TAIL\n\nOr",
"NO_RELATION.\n\nThe text describes two basketball teams and their players' performances in a",
"ARGUED_FOR_FOUL_CALL_WITH_SECOND_REMAINING",
"NO_RELATION.\n\nEntities:\n[{'head': ['Kevin Durant',",
"SCORED\n\n[{'head': ['103', 'CARDINAL'],",
"LEAD_TO_VICTORY",
"[{\"location\": \"venue\", \"relation\": \"hosted\"}]\n\nOr, if",
"SCORED_BY",
"LEADS\n\n[{'head': ['35', '37', 'ORG",
"SCORDED_BY\n\n[{'head': ['38', '39', '",
"SCORED_FOR\n\n[{'head': ['38', '39', '",
"LEAD_TO_VICTORY",
"[{\"relation\": \"LEADS_TO\"}]\n\nThis relation indicates that the War",
"SCORER_OF\n\n[{'head': ['38', '39', '",
"[{\"relation\": \"OPPONENT_OF\"}]\n\nThis relation indicates that the",
"SCORED_AGAINST\n\nOr, since the head entity is \"103",
"ARGUES_WITH",
"[{\"relation\": \"PHOTO_OF\"}]",
"[\"TEAMMATE\"]\n\nExplanation:\nIn the context provided, Dray",
"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"Dray",
"[\"PLAYS_FOR\"]",
"[{\"relation\": \"SCORED_FOR\", \"head\": \"Draymond Green\",",
"[{\"relation\": \"PART_OF\"}]\n\nThis relation indicates that Draymond Green",
"[{\"head\": \"Draymond Green\", \"relation\": \"LOCATED_IN\", \"",
"[{\"relation\": \"TEAMMATE\"}]\n\nExplanation:\nIn the",
"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"Dray",
"[\"SCORED_ON\", \"Draymond Green\", \"three\"]",
"PLAYED_FOR\n\n[{'head': ['Draymond Green'], 'tail': ['",
"[\"SCORED_FOR\"]\n\nExplanation:\nIn the context provided, D",
"[{\"relation\": \"teammate\"}]",
"[\"SCORED_FOR\"]\n\nExplanation:\nThe text states that \"D",
"[\"PLAYED_FOR\"]",
"[{\"relation\": \"SCORED_FOR\", \"head\": \"Draymond Green\",",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between D",
"[{\"relation\": \"PLAYS_IN\"}]",
"[{\"relation\": \"OPPONENT\"}]",
"[{\"relation\": \"SCORED_POINTS_FOR\"}]\n\nThis relation indicates",
"OPPONENT",
"[{\"relation\": \"OPPONENT\"}]",
"[\"SCORED_FOR\", \"Draymond Green\", \"Andre Iguodala",
"ARGUES_WITH",
"[{\"relation\": \"SCORED_FOR\"}]\n\nThis relation indicates that Dray",
"ARGUES_WITH\n\n[{'head': 'Draymond Green', 'tail': '",
"[{\"relation\": \"PHOTOGRAPHED_BY\"}]",
"[{\"relation\": \"SCORER_OF\", \"head\": \"Andre Iguod",
"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"Andre",
"[\"PLAYED_FOR\"]",
"[{\"relation\": \"SCORED_FOR\", \"head\": \"Andre Iguod",
"[{\"relation\": \"PART_OF\"}]\n\nExplanation:\nAndre I",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Andre Igu",
"[{\"relation\": \"TEAMMATE\"}]\n\nOr, if you prefer a more",
"[{\"relation\": \"SCORED_FOR\", \"head\": \"Andre Iguod",
"[\"SCORED_ON\", \"Andre Iguodala\", \"three\"]\n\n",
"[\"PLAYS_FOR\"]",
"[{\"relation\": \"SCORED_FOR\", \"head\": \"Andre Iguod",
"[{\"relation\": \"TEAMMATE\"}]\n\nOr, if you prefer a more",
"[{\"relation\": \"SCORED_FOR\", \"head\": \"Andre Iguod",
"[{\"relation\": \"PLAYS_FOR\"}]\n\nThis relation indicates that Andre Igu",
"[{\"relation\": \"SCORED_FOR\", \"head\": \"Andre Iguod",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"PLAYS_IN\"}]\n\nThis relation indicates that Andre Igu",
"[{\"relation\": \"OPPONENT\"}]",
"[{\"relation\": \"SCORED_POINTS_FOR\"}]\n\nThis relation indicates",
"[{\"relation\": \"OPPONENT_OF\"}]\n\nThis relation indicates that Andre",
"[{\"relation\": \"SCORER_OPPONENT\"}]\n\nOr, if",
"[\"SCORED_FOR\"]\n\nExplanation:\nThe text mentions that Andre",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between Andre",
"[{\"relation\": \"SCORED_FOR\", \"head\": \"Andre Iguod",
"[{\"relation\": \"ARGUES_DURING_TIME\", \"head\": \"Andre",
"NO_RELATION.",
"[\"SCORED_BY\"]",
"[{\"relation\": \"LEADS_TO\"}]\n\nThis relation indicates that the head",
"[{\"location\": \"host_city\", \"relation\": \"located_in\"}]\n",
"SCORER_OF\n\n[{'head': ['49', '50', '",
"LEADS\n\n[{'head': [\"Kevin Durant\", \"49\", \"",
"[\"SCORDED_BY\"]",
"[{\"relation\": \"SCORDED_BY\"}]\n\nOr, if you prefer a",
"[{\"relation\": \"LEADS_TO\"}]\n\nThis relation represents that the head",
"[{\"relation\": \"PLAYS_IN\"}]",
"SCORED_AGAINST\n\nThis relation indicates that an entity (head) scored points",
"[{\"OPPONENT_OF\": \"\"}]\n\nThis relation label indicates that the head",
"[\"SCORED_AGAINST\"]",
"ARGUES_WITH",
"[{\"relation\": \"PHOTO_OF\"}]",
"[\"SCORED_FOR\"]",
"[\"SCORED_BY\"]",
"[{\"relation\": \"team_member_of\"}]\n\nThis relation indicates that the War",
"[{\"relation\": \"SCORED_POINTS_FOR\"}]\n\nThis relation indicates",
"[{\"relation\": \"HOSTED_EVENT\"}]\n\nThis relation indicates that the Warriors",
"LOCATION_OF\n\nExplanation:\nThe Warriors played the basketball game in Oak",
"[{\"relation\": \"SCORER_OF\", \"head\": \"Warriors\", \"tail",
"[{\"relation\": \"SCORER_OF\"}]\n\nThis relation indicates that Stephen Cur",
"[\"SCORING_EVENT\"]\n\nExplanation:\nThe text describes Kevin Durant",
"[{\"relation\": \"IDENTICAL_TO\"}]\n\nOr, since both \"Warriors",
"\"SCORING_FOR_TEAM\"",
"[\"TEAMMEMBER_OF\"]",
"[{\"relation\": \"PLAYED_FOR\"}]\n\nThis relation indicates that Andre Igu",
"[\"SCORED_FOR\"]",
"[{\"relation\": \"LEADS_TO_VICTORY\"}]\n\nOr,",
"\"SERIES_HAS_LENGTH\"",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the Warriors",
"OPPONENT",
"[\"SCORED_BY\"]",
"OPPONENT",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"SCORER_OF\", \"head\": \"Warriors\", \"tail",
"ARGUES_WITH",
"[{\"contributed_by\": \"NO_RELATION\"}]\n\n[{\"cont",
"[{\"relation\": \"ARGUES_DURING_FOUL_CALL_BEFORE_",
"[{\"relation\": \"IMAGE_SOURCE\"}]",
"[\"SCORED_BY\"]",
"[{\"relation\": \"LEADS_TO\"}]\n\nThis relation indicates that the head",
"[{\"location\": \"host_city\", \"relation\": \"located_in\"}]\n",
"SCORER_OF\n\n[{'head': ['58', '59', '",
"[\"LEADS\"]",
"[\"TEAMMATE\"]",
"[\"TEAMMATE\"]",
"LEADS\n\n[{'head': ['58', '59', 'PERSON",
"[{\"relation\": \"PLAYS_IN\"}]\n\nThis relation indicates that the Warriors",
"SCORED_AGAINST\n\nOr, if you prefer a more JSON-like format",
"[{\"OPPONENT_OF\": \"\"}]\n\nThis relation label indicates that the head",
"[{\"relation\": \"SCORED_AGAINST\"}]\n\nOr, if you",
"ARGUES_WITH",
"[{\"relation\": \"PHOTO_OF\"}]",
"[\"SCORED_BY\"]",
"[{\"relation\": \"LEADS_TO\"}]\n\nThis relation indicates that the head",
"[{\"location\": \"took place in\", \"relation\": \"LOCATION_OF\"}]",
"SCORER_OF\n\n[{'head': ['23', '25', '",
"LEADS\n\n[{'head': ['35', '37', 'ORG",
"[\"TEAMMATE\"]",
"[\"TEAMMATE\"]",
"LEAD_ORG\n\n[{'head': ['53', '54', '",
"[{\"relation\": \"PLAYS_IN\"}]\n\nThis relation indicates that the Warriors",
"SCORED_AGAINST\n\nThis relation indicates that the head entity (Kevin Dur",
"OPPONENT",
"[{\"relation\": \"SCORED_AGAINST\"}]\n\nOr, if you",
"ARGUES_WITH",
"NO_RELATION.",
"[\"SCORED_FOR\"]\n\nExplanation:\nThe text states that \"K",
"[\"SCORED_AGAINST\", \"West\", \"35\"]\n\n[{'",
"[{\"relation\": \"PLAYS_IN\"}]\n\nThis relation indicates that the \"War",
"[{\"relation\": \"VICTORY_OVER\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"PART_OF\"}]\n\nThis relation indicates that Game One is a",
"[{\"location\": \"held_at\", \"city\": \"Oakland\", \"conference",
"PLAYED_FOR\n\n[{'head': ['69', '70', 'LOC",
"[{\"relation\": \"SCORED_POINTS_FOR_TEAM_IN_G",
"[\"SCORING_EVENT\"]\n\nExplanation:\nThe text describes Kevin Durant",
"[{\"relation\": \"PLAYS_FOR\"}]\n\nThis relation indicates that the entities in",
"[{\"relation\": \"WIN_AGAINST\"}]",
"PLAYED_FOR\n\n[{'head': ['69', '70', 'LOC",
"PLAYED_FOR\n\n[{'head': ['69', '70', 'LOC",
"[{\"relation\": \"LEADS_IN_SERIES_WITH_SCORE\", \"",
"[{\"relation\": \"PLAYS_IN\"}]",
"[{\"relation\": \"VICTORY_IN_SERIES_GAME_OF\"}]",
"\"SEMIFINAL_SERIES_OF\"",
"LEADS_OPPONENT\n\nOr, if you prefer a more standardized format",
"[{\"relation\": \"SCORED_POINTS_FOR\"}]\n\nThis relation indicates",
"OPPONENT",
"PLAYED_FOR\n\n[{'head': ['69', '70', 'LOC",
"[{\"relation\": \"SCORED_AGAINST\", \"head\": \"Warriors\",",
"ARGUES_FOUL_CALL_WITH_TEAM_IN_GAME\n(Note",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"PRECEDES_WITH_TIME_DIFFERENCE\"}]\n",
"[{\"relation\": \" PROVIDES_IMAGE\"}]",
"[{\"relation\": \"SCORER_OF_POINTS_FOR_TEAM_TH",
"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"James",
"OPPONENT",
"[{\"relation\": \"SCORED_MORE_POINTS_THAN\"}]\n",
"[{\"head\": \"18,20\", \"tail\": \"73,75",
"[{\"head\": \"James Harden\", \"relation\": \"LED_AT\", \"tail",
"[{\"relation\": \"SCORED_MORE_POINTS_THAN\"}]\n",
"[{\"relation\": \"SCORED_POINTS_FOR\"}]\n\nOr, if",
"[\"SCORED_ON\", \"James Harden\", \"three\"]\n\nor\n",
"OPPONENT\n\nExplanation:\nThe text states that James Harden scored ",
"[{\"relation\": \"SCORED_MORE_POINTS_THAN\"}]\n",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between James",
"[{\"relation\": \"OPPONENT\"}]",
"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"James",
"OPPONENT",
"[{\"relation\": \"SCORED_MORE_POINTS_THAN\"}]\n",
"NO_RELATION.\n\nEntities should be in the format of ['HEAD_ENTITY',",
"LEADS_IN_SECTION\n\nExplanation:\nThe text mentions that",
"[{\"relation\": \"SCORED_POINTS_WITH\", \"head\": \"73",
"LEADS_TEAM\n\nThis relation indicates that James Harden leads the Rockets in",
"[{\"relation\": \"TEAMMATE\"}]\n\nor\n\n[{\"relation\":",
"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"73",
"[{\"relation\": \"OPPONENT\"}]\n\nOr, if you prefer a more",
"[{\"relation\": \"SCORED_POINTS_FOR\"}]\n\nOr, if",
"ARGUES_WITH_TIME\n\n[{'head': ['73', '75',",
"NO_RELATION.\n\nHead entity is a person and tail entity is an organization, there",
"[{\"relation\": \"SCORED_POINTS_FOR\"}]\n\nThis relation indicates",
"[\"SCORED_FOR\"]",
"[{\"head\": \"Kevin Durant\", \"relation\": \"SCORED_POINTS",
"SCORER_OF\n\n[{'head': ['23', '25', '",
"[\"SCORED_FOR\"]",
"SCORER_OF\n\n[{'head': ['42', '44', '",
"[{\"relation\": \"SCORED_FOR\"}]\n\nThis relation indicates that Kevin Dur",
"[\"SCORED_FOR\"]",
"LEADS_IN_SERIES\n\nExplanation:\nThe text mentions that",
"SCORING_AGAINST\n\nExplanation:\nThe text states that \"K",
"[{\"HEAD_TYPE\": \"ENTITY\", \"HEAD\": [\"76\", \"77",
"[{\"relation\": \"SCORED_AGAINST\"}]\n\nThis relation indicates that",
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"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"HEAD_TYPE\": \"ORG\", \"HEAD\": \"Rockets\", \"RELATION",
"[{\"HEAD\": \"ORG: Rockets\", \"TAIL\": \"CARDINAL",
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"[{\"score\": {\"head\": \"Rockets\", \"tail\": \"104\"}}",
"[{\"head\": \"Rockets\", \"relation\": \"HOST_OF\", \"tail\": \"",
"[{\"location\": \"hosted\", \"relation\": \"LOCATION_OF\", \"head\":",
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"[{\"relation\": \"SCORED_ON\", \"head\": \"Rockets\", \"tail",
"OPPONENT",
"[{\"relation\": \"SCORED_AGAINST\", \"head\": \"Rockets\",",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"MEMBER_OF\"}]\n\nThis relation indicates that Andre Igu",
"[{\"relation\": \"SCORER_OF\", \"head\": \"Rockets\", \"tail",
"OPPONENT",
"[{\"relation\": \"OPPONENT_OF\"}]\n\nThis relation indicates that the",
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" ParticipantInCompetition\n\n Or, if you prefer a more specific label for the organization",
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"[{\"HEAD\": \"ORG: Rockets\", \"TAIL\": \"CARDINAL",
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"[{\"Contributed_By\": \"\"}]\n\nor\n\n[{\"Contributed",
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"[{\"relation\": \"SCORED_POINTS_FOR\"}]\n\nThis relation indicates",
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"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"PART_OF\"}]\n\nExplanation:\nIn the context",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Eric Gordon was",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between Eric",
"NO_RELATION.\n\nThe text describes statistics for various players in a basketball game, but",
"[\"SCORED_ON\", \"head[0]\", \"tail[0]\"]\n\n",
"NO_RELATION.\n\nThe text describes statistics for various players in a basketball game, but",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between Eric",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between Eric",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text describes statistics for various players in a basketball game, but",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.",
"[{\"relation\": \"SCORER_OF\", \"head\": \"Eric Gordon\", \"",
"[{\"relation\": \"SCORED_POINTS_FOR\"}]\n\nThis relation indicates",
"[{\"relation\": \"PLAYS_FOR\"}]\n\nThis relation indicates that Eric Gordon plays",
"[{\"relation\": \"scored_points_for\", \"head\": \"Eric Gordon\",",
"[{\"relation\": \"TEAMMATE\"}]\n\nNote: In this context, \"",
"[{\"relation\": \"SCORED_FOR\", \"head\": \"Eric Gordon\", \"",
"ARGUES_AT_TIME\n\n[{'head': '97, 99',",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[\"SCORED_BY\"]",
"LEADS\n\n[{'head': ['86', '87', 'CARD",
"[{\"location\": \"host_city\", \"relation\": \"located_in\"}]\n",
"SCORED_BY",
"[\"LEADS\"]",
"[\"TEAMMATE\"]",
"[{\"relation\": \"SCORDED_BY\"}]\n\nOr, if you prefer a",
"LEADS\n\n[{'head': [\"Kevin Durant\", \"86\", \"",
"[{\"relation\": \"PLAYS_IN\"}]",
"SCORED_AGAINST\n\nThis relation indicates that the head entity (Kevin Dur",
"[{\"label\": \"OPPONENT_OF\"}]\n\nThis relation indicates that the",
"[\"SCORED_AGAINST\"]",
"ARGUES_WITH",
"[{\"relation\": \"PHOTO_SOURCE\"}]",
"[{\"relation\": \"OPPONENT\"}]\n\nOr, if you prefer a more",
"[{\"relation\": \"SCORED_POINTS_AGAINST\"}]\n\nOr",
"PLAYED_FOR\n\nExplanation:\nThe text mentions that Chris Paul contributed ",
"ARGUED_FOUL_CALL_AT_TIME\n\n[{'head': ['8",
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"ARGued_at\n\nExplanation:\nThe text mentions that Chris Paul was e",
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"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"Chris",
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"ARGUED_FOUL_CALL_AT_TIME\n\n[{'head': ['8",
"ARGUES_WITH",
"ARGUES_WITH\n\n[{'head': ['45', '47', 'PER",
"[{\"relation\": \"ARGUES_WITH\", \"head\": \"Chris Paul\", \"tail",
"[{\"relation\": \"PLAYS_FOR\"}]\n\nThis relation indicates that Chris Paul plays",
"NO_RELATION",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"PLAYS_IN\"}]\n\nThis relation indicates that Chris Paul plays",
"[{\"relation\": \"OPPONENT\"}]",
"[{\"relation\": \"SCORED_POINTS_FOR\", \"head\": \"Chris",
"[{\"relation\": \"MEMBER_OF\"}]\n\nOr, since the entities are provided",
"[{\"relation\": \"TEAMMATE\"}]\n\nor\n\n[{\"relation\":",
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"[{\"relation\": \"SCORDED_POINTS_FOR\"}]\n\n# For the",
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"[\"SCORED_BY\"]",
"[{\"relation\": \"LEADS_TO\"}]\n\nThis relation indicates that the head",
"[{\"location\": \"took place in\", \"relation\": \"LOCATION_OF\"}]",
"SCORED_BY",
"[\"LEADS_TEAM\"]",
"[\"TEAMMATE\"]",
"[\"TEAMMATE\"]",
"LEADS\n\n[{'head': ['91', '92', 'PERSON",
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"[{\"OP\": \"OPPONENT_OF\"}]\n\nThis relation indicates that the",
"[\"SCORED_AGAINST\"]\n\nExplanation:\nIn the context provided",
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"[{\"relation\": \"PHOTO_SOURCE_OF\"}]",
"[{\"relation\": \"SCORER_OF\", \"head\": \"four seconds\", \"tail",
"[{\"relation\": \"ARGued_FOR_FOUL_CALL_AGAINST\"}]",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the four seconds",
"ARGUES_WITH",
"[{\"relation\": \"ARGUES_FOR_TEAM\"}]\n\nThis relation indicates that",
"[{\"relation\": \"ARGUES_WITH\"}]\n\nThis relation indicates that the head entity",
"[{\"relation\": \"ARGUES_WITH\", \"head\": \"four seconds\", \"tail\":",
"[{\"relation\": \"ARGued_FOR_FOUL_CALL_AGAINST\"}]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[\"SCORED_AGAINST\"]",
"[{\"relation\": \"ARGUES_WITH_ORG\"}]\n\nThis relation indicates that",
"ARGUES_WITH\n\n[{'head': ['83', '85', 'PER",
"ARGUES_FOUL_WITH\n\nExplanation:\nThe text mentions that Chris",
"[{\"relation\": \"PHOTO_SOURCE\"}]",
"[{\"relation\": \"PHOTOGRAPHED_BY\"}]\n\nThis relation indicates",
"[{\"relation\": \"PHOTOGRAPHED_EVENT\", \"head\": \"Getty",
"[{\"relation\": \"PHOTOGRAPHER_OF\", \"head\": \"Getty",
"[{\"relation\": \"IMAGE_SOURCE\"}]\n\nOr, if you prefer a more traditional",
"[{\"relation\": \"PHOTO_OF\"}]",
"[{\"location\": \"hosted\", \"relation\": \"LOCATION_OF\", \"head\":",
"[{\"relation\": \"PHOTOGRAPHED_BY\"}]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \" PROVIDES_IMAGE_OF\", \"head\": \"Getty Images\",",
"[{\"relation\": \"PHOTOGRAPHER_OF\", \"head\": \"Getty",
"[{\"relation\": \" PROVIDES_IMAGE_OF\", \"head\": \"Getty Images",
"[{\"relation\": \"PHOTOGRAPHED_BY\"}]",
"[{\"relation\": \"PHOTOGRAPHED_BY\"}]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"PHOTOGRAPHER_OF\", \"head\": \"Getty",
"NO_RELATION.\n\nThe text does not provide any context for a relation between the entities",
"[{\"relation\": \"PHOTO_FROM_SOURCE\", \"label\": \"PHOTO",
"[{\"relation\": \"LOC_OF\", \"head\": \"Getty Images\", \"tail\":",
"[{\"relation\": \"PHOTOGRAPHED_BY\"}]\n\nThis relation indicates",
"[{\"relation\": \"PHOTOGRAPHED_EVENT_WITH_SCORE\"}]",
"[{\"relation\": \"PHOTOGRAPHER_OF\", \"head\": \"Getty",
"[{\"relation\": \"PHOTOGRAPHED_BY\"}]\n\nThis relation indicates",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"PHOTOGRAPHED_BY\"}]\n\nThis relation indicates",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"PRESENT_AT\", \"head\": \"Getty Images\", \""
] | [
[
"0",
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[
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[
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[
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[
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[
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[
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[
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[
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[
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[
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],
[
"109",
"111",
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"Getty Images"
]
] | 289 |
291 | [
"Bengaluru [India] : You have met several trainers and instructors in your life, but we bet you must not have met someone like Arjun Vellal. Yes, a well-known figure who has been inspiring individuals to achieve great heights by his motivational speeches and lectures. He is recognized as one of the best training officers in the industry. Arjun is an award-winning personality whose skills are known by several companies. He is also honored with several recognitions from different sectors.\nThe award ceremony filled his heart with immense pleasure, and he was highly obliged when Business Mint came forward to acknowledge his efforts. A huge crowd witnessed his felicitation ceremony and came to know about his work. It is because of such great personalities that people of our society can compete against others. They need the right direction and moral support. Figures like Arjun are helping them achieve their dreams. He is successfully teaching people about what it takes to be a great performer."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Bengaluru [India] : You have met several trainers and instructors in your life, but we bet you must not have met someone like Arjun Vellal. Yes, a well-known figure who has been inspiring individuals to achieve great heights by his motivational speeches and lectures. He is recognized as one of the best training officers in the industry. Arjun is an award-winning personality whose skills are known by several companies. He is also honored with several recognitions from different sectors.\nThe award ceremony filled his heart with immense pleasure, and he was highly obliged when Business Mint came forward to acknowledge his efforts. A huge crowd witnessed his felicitation ceremony and came to know about his work. It is because of such great personalities that people of our society can compete against others. They need the right direction and moral support. Figures like Arjun are helping them achieve their dreams. He is successfully teaching people about what it takes to be a great performer.']
Entities:
[{'head': ['0', '1', 'GPE', 'Bengaluru'], 'tail': ['2', '3', 'GPE', 'India']}]
Relation:
[/INST]
| [
[
{
"head": [
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"Bengaluru"
],
"tail": [
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"India"
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}
],
[
{
"head": [
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}
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[
{
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}
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[
{
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}
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[
{
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}
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{
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}
],
[
{
"head": [
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],
"tail": [
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}
],
[
{
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}
],
[
{
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"tail": [
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}
],
[
{
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}
],
[
{
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],
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}
],
[
{
"head": [
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],
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}
],
[
{
"head": [
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"tail": [
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}
],
[
{
"head": [
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],
"tail": [
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"[\"LOCATION_NEAR_LOCATION\"]",
"SET_COMPONENT\n[{\"relation\": \"LOCATION_OF_EVENT\", \"head",
"BANNED_AT_LOCATION",
"TRIGGERS_EVENT\n\nExplanation:\nThe text mentions that discussions about",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"\"CONTAINS\"\nor\n\"LOCATED_IN\"\n\n(Note: The",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"D",
"LOCATION_NEARBY",
"[{\"relation\": \"LOCATION_OF\"}]\n\nThis relation indicates that NPR is",
"[\"DISPUTE_WITH_LOCATION\"]\n\nExplanation:\nThe text ment",
"CONFLICT_WITH\n\n[{'head': ['11', '12', '",
" LOCATION_AT_TIME",
"NO_RELATION",
"LOCATION_NEARBY",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"W",
"[{\"relation\": \"LOCATION_OF\"}]\n\nThis relation indicates that NPR is",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"11, 12",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"11, 12",
"[{\"relation\": \"LOCATION_OF\"}]\n\nOr, if you prefer a more",
"[{\"relation\": \"PRECEDES\"}]\n\nExplanation:\nThe text",
"LOCATION_OF\n\n[{'head': ['11', '12', 'G",
"LOCATION_OF\n\n[Explanation: The text mentions \"WASHINGTON",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"LOCATION_NEARBY\"]\n\nExplanation:\nThe text mentions that",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"W",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between N",
"LOCATION_OF\n\n[{'head': ['13', '14', 'OR",
"LOCATION_OF\n\nExplanation:\nThe text mentions that NPR is based",
"[\"DISCUSSION_TOPIC\"]\n\nExplanation:\nThe text mentions that",
"DISCUSSION_OF\n\n[{'head': ['13', '14', '",
" REPORTED_ON",
" TIMESTAMP_OF_EVENT\n NO_RELATION",
"LOCATION_OF\n\n[{'head': ['13', '14', 'OR",
"LOCATION_OF\n\n[{'head': ['13', '14', 'OR",
"[{\"relation\": \"affiliated_with\"}]",
" [\"REPORTED_BY\"]",
" [\"REPORTED_BY\"]",
"[{\"relation\": \"REPORTS_FROM\"}]\n\nThis relation indicates that NPR",
"[{\"relation\": \"PRECEDES\"}]\n\nThis relation indicates that the event described",
"[{\"relation\": \"REPORTS_ON\"}]\n\nThis relation indicates that NPR",
"[{\"relation\": \"REPORTS_ON\"}]\n\nThis relation indicates that NPR",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between N",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text discusses how NPR",
"\"BANNED_EVENT\"\n\nOr, if you prefer a more general label:",
"[\"BANS\", \"NPR\", \"annual\"]",
"BANNED_BY",
"MARKED_AS_TRIGGERED_EVENT\n\nThis relation represents an event mentioned in",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between N",
"[\"THREATENS\"]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"LOCATION_OF\"}]\n\nOr, if you prefer a more",
"[{\"relation\": \"LOCATION_OF\"}]\n\nOr, if you prefer a more",
"[{\"relation\": \"REPORTS_FROM\"}]\n\nThis relation indicates that NPR",
"CONFLICT",
"[{\"relation\": \"HAS_EVENT_DATE\"}]",
"[{\"relation\": \"MENTIONED_IN_CONTEXT_OF\"}]\n\nOr,",
"[{\"relation\": \"LOCATION_OF\"}]\n\nOr, if you prefer a more",
"[\"LOCATION_NEAR_LOCATION\"]",
"[{\"relation\": \"REPORTS_FROM\"}]\n\nThis relation indicates that the entity",
"CONFLICT",
"CONFLICT",
"CONFLICT",
"CONFLICT_DAY\n\n[{'head': ['34', '35', '",
"CONFLICT",
"\"HEAD_IN_LOCATION_OF_TAIL\"\n\nExplanation:\n",
"NO_RELATION.",
"DISCUSSION_ABOUT\n\nOr, if you prefer a more standardized format:\n",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"HAS_EVENT\"}]\n\nOr, if you prefer a more specific",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text mentions conflicts in Israel and Gaza, and the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"DISCUSSION_TOPIC\"]\n\nExplanation:\nThe text mentions that",
"[\"DIVISION_OF_POLITICAL_ALLEGIANCE_OR_INTEREST",
"[\"MENTIONED_IN\"]\n\nExplanation:\nThe text mentions \"G",
"CONFLICT",
"[\"TRIGGERS_EVENT\"]",
"Triggering_Discussions\n\n[{'head': ['Gaza'], 'tail': ['",
"[\"DISCUSSION_TOPIC\"]\n\nExplanation:\nThe text mentions that",
"[\"DIVISION_OF_POLITICAL_ALLEGIANCE_OR_INTEREST",
"[{\"relation\": \"MENTIONED_IN\"}]\n\nExplanation:\nThe",
"CONFLICT\n\n[{'head': 'Gaza', 'tail': 'Russian'",
"CONFLICT\n\n[{'head': 'Gaza', 'tail': 'Russian'",
"CONFLICT",
"CONFLICT_DAY\n\n[{'head': 'Gaza', 'tail': 'Th",
"CONFLICT\n\nNote: The labels provided in the text are just for entity identification purposes and",
"CONFLICT_WITH\n\nExplanation:\nThe text mentions conflicts in Gaza",
"Triggering_discussions\n\n[{'head': 'Gaza', 'tail': '",
"DIVISING_CONFLICTS",
"CONFLICT_WITH_LOCATION\n\nOr, if using the entity labels provided in the",
"SET_OF (The annual event is related to Gaza)",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"TRIGGERS_EVENT\n\nExplanation:\nThe text mentions that discussions about",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"LOCATION_OF\n\n[Explanation: The head entity is a date and the tail",
"LOCATION_OF\n\n[Explanation: The text mentions \"WASHINGTON",
"[{\"relation\": \"reported_by\"}]",
"CONFLICT_WITH\n\nExplanation:\nThe text mentions conflicts in Israel and",
" conflict_region_Gaza_occurred_on_February_24_",
"LOCATION_OF\n\n[Explanation: The head entity is a date and the tail",
"LOCATION_OF\n\n[Explanation: The head entity is a date, specifically February",
"[{\"relation\": \"reported_by\"}]",
"[{\"relation\": \"located_in\"}]",
"[{\"relation\": \"EVENT_STARTED_BY_PERSON\"}]",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the location (",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide sufficient context to establish a relation between the",
"LOCATION_OF\n\n[{'head': ['55', '58', 'TIME",
"LOCATION_OF\n\n[{'head': ['55', '58', 'TIME",
"[{\"relation\": \"affiliated_with\"}]",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nOr, if you prefer",
"[\"TRIGGERS_DISCUSSIONS\"]",
"LOCATION_OF\n\n[{'head': ['55', '58', 'TIME",
"LOCATION_OF\n\n[{'head': ['55', '58', 'TIME",
"[{\"relation\": \"affiliated_with\"}]",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes the location of an",
"\"MENTIONED_IN\"",
"[{\"relation\": \"LOCATION_OF\", \"head_label\": \"GPE\", \"",
"\"BANNED_EVENT\"",
"\"NO_RELATION\"\n\nExplanation:\nThe text does not provide any context",
"\"NO_RELATION\"\n\nExplanation:\nThe text does not provide any context",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"location\": \"LOCATION_NEARBY\"}]\n\nExplanation:\n",
"[{\"relation\": \"LOCATION_OF\"}]\n\nThis relation indicates that NPR is",
"[\"CONFLICT_ZONE\"]\n\nExplanation: The text mentions \"deep",
"CONFLICT_WITH",
" LOCATION_AT_TIME",
"NO_RELATION",
"[{\"location\": \"LOCATION_NEARBY\"}]\n\nOr, since the text",
"[{\"relation\": \"LOCATION_OF\"}]\n\nThis relation indicates that NPR is",
"[{\"relation\": \"LOCATION_OF\", \"head_label\": \"GPE\", \"",
"[{\"relation\": \"LOCATION_OF\", \"head_label\": \"GPE\", \"",
"CONFLICT_ZONE\n\nOr, if using standard relation labels:\n\nCONFL",
"[{\"relation\": \"PRECEDES\"}]",
"LOCATION_OF\n\n[{'head': ['58', '59', 'G",
"LOCATION_OF\n\nExplanation: In the context provided, \"WASHINGTON",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes how discussions are happening",
"[\"LOCATION_NEARBY\"]\n\nExplanation:\nThe text mentions \"",
"SET_COMPONENT\n[{\"relation\": \"HOSTS\"}]\n\nExplanation",
"BANNED_EVENT\n\nExplanation:\nIn the context provided, the entities",
"TRIGGERS_EVENT\n\nExplanation:\nThe text mentions that discussions about",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"LOCATION_IN\"}]\n\nThis relation indicates that Washington, D",
"[{\"relation\": \"LOCATION_IN_LOCATION\"}]\n\nOr, if you",
"[{\"relation\": \"LOCATION_OF\"}]\n\nThis relation indicates that NPR is",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"D.C.\", \"tail",
"CONFLICT_WITH",
"LOCATION_NEAR_DATE",
"NO_RELATION",
"LOCATION_NEARBY",
"[{\"relation\": \"LOCATION_OF\"}]\n\nThis relation indicates that NPR is",
"LOCATION_OF\n\n[Explanation: The text mentions \"WASHINGTON",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"D.C.\", \"tail",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"D.C.\", \"tail",
"[{\"relation\": \"PRECEDES\"}]\n\nThis relation indicates that the event described",
"LOCATION_OF\n\n[{'head': ['60', '61', 'G",
"LOCATION_OF\n\nExplanation: In the context provided, \"WASHINGTON",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text describes how discussions are happening",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"MARKED_AS_TRIGGER_EVENT\n\nExplanation:\nThe text ment",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between N",
"LOCATION_OF\n\n[{'head': ['62', '63', 'OR",
"LOCATION_OF\n\n[{'head': ['62', '63', 'OR",
"[{\"relation\": \"affiliated_with\"}]",
"[\"REPORTS_FROM\"]\n\nExplanation:\nThe text mentions that there",
"DISCUSSION_OF\n\n[{'head': ['62', '63', '",
"\"REPORTED_DATE\"",
" TIMESTAMP_OF_EVENT\n NO_RELATION",
"LOCATION_OF\n\n[{'head': ['62', '63', 'OR",
"LOCATION_OF\n\n[Explanation: The head entity \"NPR\" is located",
" [\"REPORTED_BY\"]",
" [\"REPORTED_BY\"]",
"[{\"relation\": \"REPORTS_FROM\"}]\n\nThis relation indicates that NPR",
"[{\"relation\": \"REPORTED_ON\"}]\n\nThis relation indicates that NPR",
"[{\"relation\": \"reporting_on\"}]\n\nThis relation indicates that NPR is",
"[{\"relation\": \"REPORTS_ON\"}]\n\nThis relation indicates that NPR",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between N",
"[{\"relation\": \"REPORTS_FROM\"}]\n\nThis relation indicates that NPR",
"\"MENTIONS\\_OF\"\nor\n\"REPORTS\\_FROM\"\n\n(",
"[\"BANS\", \"NPR\", \"annual\"]",
"BANNED_EVENT\n\nThis relation indicates that NPR reports that the event at T",
"MARKED_AS_TRIGGER_EVENT\n\nExplanation: The text mentions",
"[\"CONTAINS\"]\n\nExplanation:\nThe text mentions that \"in Colombia",
"\"THREATENS\"\n\nExplanation:\nThe text mentions that \"cor",
"LOCATION_OF\n\n[{'head': ['66', '67', 'N",
"LOCATION_OF\n\n[{'head': ['Russian'], 'tail': ['D.",
"[{\"relation\": \"MENTIONED_IN\"}]\n\nOr, since the text ment",
"CONFLICT_WITH\n\nExplanation:\nThe text mentions \"conflicts",
"CONFLICT_WITH",
"LOCATION_OF\n\n[Explanation: The text mentions \"WASHINGTON",
"LOCATION_OF\n\n[{'head': ['66', '67', 'N",
"[{\"relation\": \"MENTIONED_IN\"}]\n\nThis text mentions NPR",
"CONFLICT_WITH\n\nExplanation:\nThe text mentions that Russian military forces",
"\"ANTAGONIST\"\n\nor\n\n\"OPPONENT\"\n\n(",
"CONFLICT_WITH\n\nExplanation:\nThe text mentions conflicts dividing social",
"\"PROTESTS_AGAINST_BAN_IN_CITY\"\nor\n",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"CONFLICT_WITH\n\nExplanation: In the context provided, there is no direct",
"LOCATION_OF\n\n[{'head': ['70', '71', 'N",
"LOCATION_OF\n\n[{'head': ['70', '71', 'N",
"[{\"relation\": \"MENTIONED_IN\"}]\n\nOr, since the entities are",
"CONFLICT_WITH\n\n[{'head': ['34', '35', '",
"CONFLICT_WITH",
"LOCATION_OF\n\n[{'head': ['58', '59', 'G",
"LOCATION_OF\n\n[{'head': ['60', '61', 'G",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that NPR",
"CONFLICT_WITH\n\nExplanation:\nThe text mentions \"Russian military",
"\"HEAD_IS_POLITICAL_ENTITY_OF_COUNTRY_WHIC",
"CONFLICT_WITH\n\nExplanation: The text mentions \"conflicts divid",
"\"PROTESTS_AGAINST_BAN_IN\"\n\nor\n\n\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between '",
"CONFLICT_WITH\n\nExplanation:\nThe text mentions conflicts in various parts",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"LOCATION_OF\n\n[{'head': ['78', '79', 'G",
"[{\"relation\": \"LOCATED_NEAR\"}]\n\nOr, if you prefer a",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that NPR",
"CONFLICT",
"CONFLICT",
"[{\"relation\": \"HAS_EVENT_ON_DATE\"}]",
"[{\"relation\": \"MENTIONED_IN_CONTEXT_OF\"}]\n\nThis relation",
"LOCATION_OF\n\n[{'head': ['78', '79', 'G",
"[{\"relation\": \"LOCATED_NEAR\"}]\n\nOr, if you prefer a",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that NPR",
"CONFLICT_WITH\n\nExplanation:\nThe text mentions \"Russian military",
"CONFLICT_WITH\n\nExplanation:\nThe text mentions \"Russian military",
"CONFLICT_ON_DATE\n\nOr, if using a more standardized relation label:",
"[{\"relation\": \"PART_OF\"}]\n\nExplanation:\nThe text ment",
"\"HEAD_OF_STATE\"\n\nExplanation:\nIn the given text, the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"CONFLICT_BETWEEN\n\nExplanation: The text mentions conflicts divid",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"U",
" bans_event\n\n[Explanation: The entity \"Ukraine\" is the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"MARK_MASSACRE_YEAR\n\nExplanation:\nThe text mentions",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"LOCATION_OF_EVENT",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that NPR",
"CONFLICT_WITH\n\nExplanation:\nThe text mentions \"deeply ent",
"CONFLICT\n\n[{'head': ['36', '37', 'GPE",
"LOCATION_OF\n\n[{'head': ['58', '59', 'G",
"LOCATION_OF\n\n[{'head': ['80', '81', 'DATE",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that NPR",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis text describes conflicts in",
"[{\"relation\": \"ACTED_ON\"}]\n\nThis relation indicates that the event on",
"[{\"relation\": \"OCCURRED_IN\"}]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"LOCATION_OF\n\n[{'head': ['82', '83', 'N",
"LOCATION_OF\n\n[{'head': ['82', '83', 'N",
"SOURCE: NPR\nIS_SOURCE_OF: Ukrainian",
"CONFLICT_WITH\n\nExplanation: The text mentions \"deeply entren",
"CONFLICT",
"LOCATION_OF\n\n[{'head': ['82', '83', 'N",
"LOCATION_OF\n\n[{'head': ['82', '83', 'N",
"\"REPORTED_BY\"",
" [\"HEAD_IN_GPE\" ] # The Ukrainian entities refer to the same geographical",
"\"HEAD_OF_STATE\"",
"CONFLICT_WITH\n\nExplanation: In the context provided, the text mentions",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"U",
"NO_RELATION.",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between Vol",
"LOCATION_OF\n\n[Explanation: Volodymyr Zelenskyy is",
"LOCATED_IN",
"SOURCE: text and entities provided by the user.\n\nThe relation between Volodymyr Zel",
"\"HEAD_OF_STATE_IN_CONFLICT_WITH_GPE\"",
"CONFLICT_WITH\n\nExplanation: In the context provided, Volodymyr",
"\"ANNOUNCED_ON\"\nor\n\"OCCURRED_ON\" (",
"\"SPEAKS_AT\"",
"LOCATION_OF\n\n[Explanation: Volodymyr Zelenskyy is",
"LOCATION_OF\n\n[Explanation: Volodymyr Zelenskyy is",
"SOURCE: text and entities provided by the user.\n\nThe relation between Volodymyr Zel",
"[{\"relation\": \"OPPONENT\"}]\n\nOr, if using a more specific",
"[{\"relation\": \"OPPONENT\"}]",
"\"HEAD_OF_STATE\"\n\nExplanation:\nIn the given text, the",
"[{\"relation\": \"ACTED_ON_DATE\"}]\n\nThis relation indicates that Vol",
"[\"HEAD_OF_NATION\"]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between Vol",
"[\"HEAD_IN_GPE\"] # Volodymyr Zelenskyy is in the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between Vol",
"SETS_RELATION_MARKS_HOLD_ANNUAL_EVENT\n\nor",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between Vol",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between Vol",
"NO_RELATION.\n\nThe text does not provide any context for a relation between Volod",
"\"PRESIDENT_OF\"\n\nor\n\n\"GOVERNS_OVER\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"DISCUSSION_TOPIC\n\nExplanation:\nThe text mentions that \"dis",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"PROTESTS_AT_LOCATION\n\n[{'head': ['99', '1",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[\"EVENT_IN_LOCATION\"]",
"PROTESTS_AT_LOCATION\n\n[{'head': ['99', '1",
"PROTESTS_IN_GPE\n(Note: The labels used here are based on the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"LOCATION_IN_REGION",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text discusses events happening in",
"[{\"relation\": \"reporting_organization\"}]",
"[\"DISPUTE\"]\n\nExplanation:\nThe text mentions \"discussions",
"[\"DISPUTE\"]\n\nExplanation: The text mentions \"conflicts divid",
" EVENT_DATE",
"NO_RELATION",
"LOCATION_OF\n\n[{'head': ['103', '104',",
"LOCATION_IN_REGION",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that NPR",
" [\"CONFLICT_WITH\"]\n\n Explanation:\n The text mentions \"R",
"CONFLICT_WITH",
"CONFLICT",
"[{\"relation\": \"OCCURRED_ON\"}]",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis text discusses conflicts in various",
"[{\"relation\": \"LOCATION_OF_ENTITY\"}]",
"[\"EVENT_PRECEDES_EVENT\"]\n\nExplanation:\nThe text ment",
"[\"PROTESTS_IN_DIFFERENT_PLACES\"]\n\nExplanation",
" NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"PROTESTS_AT_LOCATION\n\nor\n\nBANNED_EVENT_",
"PROTESTED_AGAINST\n\nThis relation indicates that the US entity is the head (",
"[\"CONTAINS\"]\n\nExplanation: The text mentions \"demonstrations",
"coronavirus-threatens\n\nExplanation:\nThe text mentions that \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"MENTIONED_IN\n\n[Explanation: The NPR is mentioned in relation",
"NO_RELATION.\n\nThe text does not provide sufficient context for extracting a relation between",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"H",
"\"BANNED_ON_DATE\"",
"NO_RELATION",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"MENTIONED_IN\n\n[Explanation: The NPR entity is mentioned in",
"\"BANNED_BY\"",
"\"BANNED_BY\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"CONFLICT_ZONE_IN_REGION\" if the context implies that the conflicts in",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"EVENT_OCCURRED_AT\"]",
"[\"CONTRAST\"]\n\nExplanation:\nThe text mentions demonstrations and activ",
"BANNED_EVENT\n\n[{'head': '114, 11",
"BANNED_AT_LOCATION\n\nExplanation:\nThe text mentions",
"MARKED_DATE_WITH_ENTITY\n\nExplanation:\nThe text mentions",
"[\"DISTANT_IN_TIME_OR_SPACE\"] # or [\"COUNTRY_",
"[\"CONTAINS\"]\n\nExplanation:\nThe text mentions that \"In Hong",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"REPORTED_BY\"}]\n\nThis relation indicates that NPR",
"[\"TRIGGERS_EVENT\"]\n\nExplanation:\nThe text mentions that",
"[\"TRIGGERS_DISCUSSIONS\"]",
"LOCATION_OF\n\n[Explanation: The head entities represent the annual events in W",
"LOCATION_OF\n\n[Explanation: The head entities represent the annual events in D",
"[{\"relation\": \"reported_by\"}]",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nOr, if you prefer",
"[{\"relation\": \"TRIGGERS_DISCUSSIONS_FOR\"}]\n\n",
"[\"CONDITION_IN\"]\n\nExplanation:\nThe text mentions that \"D",
"BANNED_EVENT\n\n[{'head': '114, 11",
" threatens\n\n[{'head': ['121', '122', 'DATE",
" threatens\n\n[{'head': ['121', '122', 'DATE",
"MENTIONED_IN\n\nor\n\nLOCATION_MENTIONED_BY.",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"MENTIONED_IN\n\n[Explanation: The NPR entity is mentioned in relation",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between T",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between T",
"MENTIONED_IN\n\nor\n\nLOCATION_MENTIONED_BY.",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"MENTIONED_IN\n\n[Explanation: The NPR organization is mentioned in relation",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between T",
"NO_RELATION.\n\nThe text does not provide any context for a relation between Tian",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between T",
"BANNED_EVENT\n\nExplanation:\nThe text mentions that \"In",
"PROTESTS_IN_LOCATION\n\nOr, if using the entity labels directly:\n",
" threatens\n\n[{'head': ['122', '124', 'F",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"MENTIONED_IN\n\n[Explanation: The NPR entity is mentioned in",
"[{\"relation\": \"conflict_with\"}]\n\nExplanation: The text ment",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"BANNED_EVENT\n\n[{'head': ['129', '13",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"EVENT_DATE\"}]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"REPORTED_IN\"}]",
"CONFLICT_WITH\n\nExplanation: In the context provided, there is no direct",
"CONFLICT_WITH\n\nExplanation: In the context provided, there is no direct",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION",
"CONFLICT_INVOLVED\n\nOr, if using the entity labels provided in the text",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"PROTESTS_OCCURRED_ON\n\nOr, if you prefer a more JSON",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"Col",
" In_Region\n\n [Explanation: The entity 'Colombia' is the head",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"LOCATION_IN_REGION\nor\nREGION_CONTAINS_LOCATION\n\n(",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"PRESENT_AT\"}]\n\nThis relation indicates that the event",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
" In the given text and entities, the relation between 'Amazon' (head) and 'ann",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"LOCATION_IN_REGION\nor\nREGION_CONTAINS_LOCATION\n\n("
] | [
[
"5",
"6",
"WORK_OF_ART",
"Conflict"
],
[
"9",
"10",
"GPE",
"WASHINGTON"
],
[
"11",
"12",
"GPE",
"D.C."
],
[
"13",
"14",
"ORG",
"NPR"
],
[
"34",
"35",
"GPE",
"Israel"
],
[
"36",
"37",
"GPE",
"Gaza"
],
[
"50",
"54",
"DATE",
"February 24, 2022"
],
[
"55",
"58",
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"5:23 AM ET"
],
[
"58",
"59",
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],
[
"60",
"61",
"GPE",
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],
[
"62",
"63",
"ORG",
"NPR"
],
[
"66",
"67",
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"Russian"
],
[
"70",
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[
"78",
"79",
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"Ukraine"
],
[
"80",
"81",
"DATE",
"Thursday"
],
[
"82",
"83",
"NORP",
"Ukrainian"
],
[
"84",
"86",
"PERSON",
"Volodymyr Zelenskyy"
],
[
"99",
"101",
"DATE",
"the weekend"
],
[
"103",
"104",
"GPE",
"US"
],
[
"114",
"116",
"GPE",
"Hong Kong"
],
[
"121",
"122",
"DATE",
"annual"
],
[
"122",
"124",
"FAC",
"Tiananmen Square"
],
[
"129",
"130",
"DATE",
"1989"
],
[
"138",
"139",
"GPE",
"Colombia"
],
[
"140",
"141",
"LOC",
"Amazon"
]
] | 291 |
293 | [
"101 WRIF Listeners Can Get Ultra-Fast Internet With Xfinity\nYou’ve heard Andy Green talk about Xfinity. Isn’t it time that you get the fastest internet with ultra-low lag on the Xfinity 10G Network?\nTheir game-changing network gets faster and more reliable every day. Enjoy online gaming with ultra-low lag, work from home with clear video calls, and more.\nTo learn more click here."
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['101 WRIF Listeners Can Get Ultra-Fast Internet With Xfinity\nYou’ve heard Andy Green talk about Xfinity. Isn’t it time that you get the fastest internet with ultra-low lag on the Xfinity 10G Network?\nTheir game-changing network gets faster and more reliable every day. Enjoy online gaming with ultra-low lag, work from home with clear video calls, and more.\nTo learn more click here.']
Entities:
[{'head': ['10', '11', 'ORG', 'Xfinity'], 'tail': ['15', '17', 'PERSON', 'Andy Green']}]
Relation:
[/INST]
| [
[
{
"head": [
"10",
"11",
"ORG",
"Xfinity"
],
"tail": [
"15",
"17",
"PERSON",
"Andy Green"
]
}
],
[
{
"head": [
"10",
"11",
"ORG",
"Xfinity"
],
"tail": [
"19",
"20",
"ORG",
"Xfinity"
]
}
],
[
{
"head": [
"10",
"11",
"ORG",
"Xfinity"
],
"tail": [
"37",
"42",
"ORG",
"the Xfinity 10G Network"
]
}
],
[
{
"head": [
"10",
"11",
"ORG",
"Xfinity"
],
"tail": [
"54",
"56",
"DATE",
"every day"
]
}
],
[
{
"head": [
"15",
"17",
"PERSON",
"Andy Green"
],
"tail": [
"10",
"11",
"ORG",
"Xfinity"
]
}
],
[
{
"head": [
"15",
"17",
"PERSON",
"Andy Green"
],
"tail": [
"19",
"20",
"ORG",
"Xfinity"
]
}
],
[
{
"head": [
"15",
"17",
"PERSON",
"Andy Green"
],
"tail": [
"37",
"42",
"ORG",
"the Xfinity 10G Network"
]
}
],
[
{
"head": [
"15",
"17",
"PERSON",
"Andy Green"
],
"tail": [
"54",
"56",
"DATE",
"every day"
]
}
],
[
{
"head": [
"19",
"20",
"ORG",
"Xfinity"
],
"tail": [
"10",
"11",
"ORG",
"Xfinity"
]
}
],
[
{
"head": [
"19",
"20",
"ORG",
"Xfinity"
],
"tail": [
"15",
"17",
"PERSON",
"Andy Green"
]
}
],
[
{
"head": [
"19",
"20",
"ORG",
"Xfinity"
],
"tail": [
"37",
"42",
"ORG",
"the Xfinity 10G Network"
]
}
],
[
{
"head": [
"19",
"20",
"ORG",
"Xfinity"
],
"tail": [
"54",
"56",
"DATE",
"every day"
]
}
],
[
{
"head": [
"37",
"42",
"ORG",
"the Xfinity 10G Network"
],
"tail": [
"10",
"11",
"ORG",
"Xfinity"
]
}
],
[
{
"head": [
"37",
"42",
"ORG",
"the Xfinity 10G Network"
],
"tail": [
"15",
"17",
"PERSON",
"Andy Green"
]
}
],
[
{
"head": [
"37",
"42",
"ORG",
"the Xfinity 10G Network"
],
"tail": [
"19",
"20",
"ORG",
"Xfinity"
]
}
],
[
{
"head": [
"37",
"42",
"ORG",
"the Xfinity 10G Network"
],
"tail": [
"54",
"56",
"DATE",
"every day"
]
}
],
[
{
"head": [
"54",
"56",
"DATE",
"every day"
],
"tail": [
"10",
"11",
"ORG",
"Xfinity"
]
}
],
[
{
"head": [
"54",
"56",
"DATE",
"every day"
],
"tail": [
"15",
"17",
"PERSON",
"Andy Green"
]
}
],
[
{
"head": [
"54",
"56",
"DATE",
"every day"
],
"tail": [
"19",
"20",
"ORG",
"Xfinity"
]
}
],
[
{
"head": [
"54",
"56",
"DATE",
"every day"
],
"tail": [
"37",
"42",
"ORG",
"the Xfinity 10G Network"
]
}
]
] | [
"[{\"relation\": \"MENTIONED_BY\"}]\n\nOr, since the text explicitly",
"[{\"relation\": \"self\"}]\n\nOr, since the text does not provide any explicit",
"[{\"relation\": \"SUBJECT_OF_SERVICE_OF\"}]\n\nThis relation indicates",
"[\"GETS_FASTER\"]",
"[{\"talks_about\": [\"Andy Green\", \"Xfinity\"]}]\n\nOr",
"[{\"talks_about\": [\"Andy Green\", \"Xfinity\"]}]\n\nOr",
"[\"SPEAKS_FOR\"]\n\nExplanation:\nIn the context provided, \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[\"PRODUCER_OF\"]",
"[\"SPEAKER_OF\"]",
"[\"IS_A_TYPE_OF\"]\n\nExplanation:\nIn the context provided",
"[\"GETS_FASTER\"]",
"[\"IS_A_TYPE_OF\"]\n\nExplanation:\nIn the context provided",
"[{\"relation\": \"SPEAKS_ABOUT\"}]",
"[\"IS_A_TYPE_OF\"]\n\nExplanation:\nIn the context provided",
"\"GETS_FASTER_EVERY_DAY\"",
"[\"IMPROVES_PERFORMANCE_OF\"]\n\nExplanation:\nThe",
"[{\"relation\": \"SPEAKS_ABOUT\"}]",
"[\"IMPROVES_PERFORMANCE_OF\"]\n\nExplanation:\nThe",
"[\"IMPROVES\"]\n\nExplanation:\nThe text suggests that \"their"
] | [
[
"10",
"11",
"ORG",
"Xfinity"
],
[
"15",
"17",
"PERSON",
"Andy Green"
],
[
"19",
"20",
"ORG",
"Xfinity"
],
[
"37",
"42",
"ORG",
"the Xfinity 10G Network"
],
[
"54",
"56",
"DATE",
"every day"
]
] | 292 |
294 | [
"Defender of the Moscow “Spartak” Georgy Jikia believes that the season-2019/20 Russian Premier League (RPL) can play for a month and a half.\n- © Alexander Vilf\n- RIA Novosti\n“45 days is enough to finish the RPL. All the Russian clubs are already banned from European competitions. Because quietly for 40-45 days to finish playing, for example, once every five days. There is still the Cup of Russia, Yes, but there is already the semi-final stage — that is, each team may conduct a maximum of two games,” said Jikia in conversation with commentator Nobel Arustamian live in Instagram.\nThe RPL championship was suspended after the 22-th round of the pandemic coronavirus.\nEarlier Byshovets named Djikia future of the national team of Russia."
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Defender of the Moscow “Spartak” Georgy Jikia believes that the season-2019/20 Russian Premier League (RPL) can play for a month and a half.\n- © Alexander Vilf\n- RIA Novosti\n“45 days is enough to finish the RPL. All the Russian clubs are already banned from European competitions. Because quietly for 40-45 days to finish playing, for example, once every five days. There is still the Cup of Russia, Yes, but there is already the semi-final stage — that is, each team may conduct a maximum of two games,” said Jikia in conversation with commentator Nobel Arustamian live in Instagram.\nThe RPL championship was suspended after the 22-th round of the pandemic coronavirus.\nEarlier Byshovets named Djikia future of the national team of Russia.']
Entities:
[{'head': ['3', '4', 'GPE', 'Moscow'], 'tail': ['5', '6', 'ORG', 'Spartak']}]
Relation:
[/INST]
| [
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"5",
"6",
"ORG",
"Spartak"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"7",
"9",
"PERSON",
"Georgy Jikia"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"13",
"16",
"ORG",
"Russian Premier League"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"17",
"18",
"ORG",
"RPL"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"22",
"27",
"DATE",
"a month and a half"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"31",
"33",
"PERSON",
"Alexander Vilf"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"35",
"37",
"ORG",
"RIA Novosti"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"39",
"41",
"DATE",
"45 days"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"46",
"47",
"ORG",
"RPL"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"50",
"51",
"NORP",
"Russian"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"56",
"57",
"NORP",
"European"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"62",
"66",
"DATE",
"40-45 days"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"81",
"85",
"EVENT",
"the Cup of Russia"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"108",
"109",
"CARDINAL",
"two"
]
}
],
[
{
"head": [
"3",
"4",
"GPE",
"Moscow"
],
"tail": [
"113",
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"ORG",
"RPL"
]
}
],
[
{
"head": [
"152",
"153",
"GPE",
"Russia"
],
"tail": [
"132",
"135",
"DATE",
"22-th"
]
}
],
[
{
"head": [
"152",
"153",
"GPE",
"Russia"
],
"tail": [
"143",
"144",
"PERSON",
"Byshovets"
]
}
],
[
{
"head": [
"152",
"153",
"GPE",
"Russia"
],
"tail": [
"145",
"146",
"PERSON",
"Djikia"
]
}
]
] | [
"DEFENDED_BY",
"Believes_About\n\nExplanation:\nGeorgy Jikia is express",
"LOCATION_OF\n\nExplanation:\nGeorgy Jikia is a def",
"LOCATION_OF\n\nExplanation:\nThe text mentions that Georgy J",
"[\"DURATION_OF_TIME\", \"Moscow RPL suspension\", \"a month",
"NO_RELATION",
"MENTIONED_IN.",
"belongs_to\n\nExplanation:\nThe text mentions that Georgy J",
"LOCATION_OF\n\nExplanation:\nThe text mentions that Georgy J",
"[{\"relation\": \"LOCATED_IN\"}]\n\nExplanation:\nThe text",
"\"BANNED_FROM\"",
"[\"DURATION\"]",
"[\"REL_PREPARATION_FOR\", \"EVENT\", \"GPE\"]\n\nExplan",
"[\"EXPRESSES_OPINION_ABOUT\", \"believes\", \"",
"Believes_For_Entity_Head_In_Relation_To_Entity_T",
"INTERACTED_WITH",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"Belongs_To\n\nExplanation:\nThe text mentions that Georgy J",
"[\"SUSPENDED_AFTER_ROUND\"]",
"[\"FUTURE_OF\"]",
"Believes_for_PERSON_HEAD_GPE_TAIL",
"[{\"head\": \"3,4\", \"tail\": \"152,153",
"[{\"head\": \"Spartak\", \"relation\": \"LOCATED_IN\", \"tail",
"[{\"belongs_to\": \"ORG\", \"modifier\": \"\", \"rel_type",
"PART_OF",
"[{\"relation\": \"MEMBER_OF\"}]\n\nThis text mentions that \"Def",
"[\"DURATION_OF_TIME\", \"22-27\", \"Spartak",
"NO_RELATION",
"NO_RELATION.\n\nThe text does not provide any context about a relation between \"S",
"\"DURATION_OF_EVENT\"",
"belongs_to\n\nExplanation:\nThe text states that \"Spartak\"",
"[{\"relation\": \"BELONGS_TO\"}]\n\nExplanation:\n",
"[{\"relation\": \"BANNED_FROM\"}]\n\nThis text indicates that the",
"[\"DURATION\"]",
"[\"COMPLETES_EVENT\"]\n\nExplanation:\nGeorgy Jikia",
"[\"TEAM_HAS_NUMBER_OF_GAMES\"]",
"Belongs_To\n\nExplanation:\nThe text mentions that Georgy J",
"INTERACTED_WITH",
"NO_RELATION.\n\nThe text does not provide any context regarding a relation between \"S",
"PART_OF\n\nExplanation:\nThe text mentions that \"Spartak\"",
"[\"SUSPENDED_AFTER_ROUND\"]",
"[{\"label\": \"FUTURE_OF\"}]\n\nThis relation indicates that Bysh",
"[{\"relation\": \"FUTURE_OF\"}]\n\nThis text mentions that Ge",
"[{\"head\": \"Spartak\", \"relation\": \"belongs_to\", \"tail",
"DEFENDS\n\n[{'head': ['7', '9', 'PERSON', '",
"DEFENDER_OF",
"Believes_for_entity_HEAD_in_relation_TO_entity_TAIL",
"Believes_for_entity_head_in_relation_to_entity_tail\n",
"believes_that_the_RPL_can_be_finished_in_a",
"NO_RELATION.\n\nEntities:\n[{'head': ['7', '9',",
"SPEAKS_TO\n\n[{'head': ['7', '9', 'PERSON",
"Believes_For_Duration\n\nThis relation indicates that the head entity (Georgy",
"Believes_for_entity_HEAD_in_relation_TO_entity_TAIL",
"Believes_For_Entity_HEAD_IN_PERSON: Believes_That",
"\"BANNED_FROM\"",
"believes_that_duration_is\n\nThis relation represents that Georgy Jik",
"DISCUES_ABOUT",
"[{\"relation\": \"SPEAKS_ABOUT\", \"head\": \"Georgy J",
" self\n NO_RELATION",
"INTERACTED_WITH",
"INTERACTS_WITH",
"Believes_for_entity_HEAD_in_relation_TO_entity_TAIL",
"[\"SUSPENDED_AFTER_ROUND\"]",
"[{\"label\": \"MENTOR_OF\"}]\n\nThis relation indicates that Byshov",
"[\"FUTURE_OF\"]",
"[{\"head\": \"Georgy Jikia\", \"relation\": \"BELONGS",
"[{\"head\": \"Russian Premier League\", \"relation\": \"BELONGS_TO",
" [\"BELONGS_TO\"]\n\nExplanation:\nThe text mentions that",
"Believes_for_entity_HEAD_in_relation_TO_entity_TAIL",
"[\"IDENTICAL\"]\n\nExplanation:\nThe text mentions that \"The Russian Premier",
"\"DURATION\"\n\nExplanation:\nThe text states that the Russian Premier League",
"Belongs_To\n\nExplanation:\nThe text mentions that Alexander Vilf is",
"MENTIONED_IN\n\n[Explanation: The Russian Premier League (head) is",
"\"DURATION\"",
"[\"IDENTICAL\"]\n\nExplanation:\nThe text mentions that \"The Russian Premier",
"[{\"relation\": \"MEMBER_OF\"}]\n\nThis text mentions that the Russian",
"[\"BANNED_FROM\"]",
"\"DURATION\"\n\nExplanation:\nThe text states that Georgy J",
"PRECEDES",
"[\"CAN_COMPLETE_IN_TIME\", \"Russian Premier League\", \"each team\"]",
"Believes_for_entity_head_in_relation_to_entity_tail\n",
"INTERACTED_WITH",
"[\"DISCUSSION_PLATFORM\"]",
"[\"IDENTICAL\"]\n\nExplanation:\nThe text mentions that \"The Russian Premier",
"[\"SUSPENDED_AFTER_ROUND\"]",
"[{\"label\": \"NAMED_PERSON_OF_INTEREST\", \"head\": \"",
"[{\"label\": \"BELIEves_IN\", \"head\": \"Russian Premier League",
"[{\"head\": \"Russian Premier League\", \"relation\": \"BELONGS_TO",
"[\"BELONGS_TO\"]\n\nExplanation:\nThe text mentions that",
"[\"BELONGS_TO\"]\n\nExplanation:\nThe text mentions that",
"Believes_for_ORG\n\nThis means that the Russian Premier League (RPL",
"[\"IDENTICAL\"]\n\nExplanation:\nThe text mentions that \"Georgy",
"\"CAN_BE_COMPLETED_IN\"",
"NO_RELATION",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"\"DURATION_OF_EVENT\"",
"[\"CAN_FINISH_IN_TIME\"]",
"[{\"relation\": \"PART_OF\"}]\n\nThis text mentions that the Russian Premier",
"BANNED_FROM\n\nExplanation:\nThe text states that \"All Russian",
"\"DURATION\"\n\nExplanation:\nThe text mentions that Georgy",
"[\"PRECEDES\"]\n\nExplanation:\nThe text mentions that \"there",
"[\"CAN_PLAY_FOR\", \"RPL\", \"two\", \"GAMES\"]",
"Believes_for_ORG_Season_OF_PERSON",
"INTERACTED_WITH",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"SAME_ORG\"}]",
"[\"SUSPENDED_AFTER_ROUND\"]",
"[\"FUTURE_OF\"]",
"[{\"label\": \"BELIEves_IN\", \"head\": \"RPL\", \"",
"[{\"head\": \"RPL\", \"relation\": \"BELONGS_TO\", \"",
"[\"CAN_BE_FINISHED_IN\"]",
"[\"CAN_COMPLETE_IN_TIME\", \"DATE\", \"ORG\"]",
"believes_in\n\nExplanation:\nGeorgy Jikia believes that",
"[\"CAN_FINISH_IN_TIME\"]\n\nThis relation indicates that the head entity (",
"[\"CAN_COMPLETE_IN_TIME\", \"DATE\", \"ORG\"]",
"NO_RELATION.\n\nEntities refer to 'Georgy Jikia' and '",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[\"CAN_COMPLETE_IN_TIME\", \"DATE\", \"ORG\"]",
"Believes_In\n\nExplanation:\nGeorgy Jikia believes that",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"\"CAN_BE_COMPLETED_IN\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"believes_for\n\nExplanation:\nThe text mentions that Georgy",
"[{\"relation\": \"LOCATED_IN\"}]\n\nExplanation:\nThe text",
"NO_RELATION",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"QUOTED_BY\"}]",
"Belongs_to\n\n[Explanation: The text mentions that Alexander Vilf is",
"Belongs_To\n\nExplanation:\nThe text mentions that Alexander Vilf is",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[\"AUTHOR_OF\"]",
"believes_that_duration_is\n\n[{'head': ['31', '",
"Belongs_To\n\nExplanation:\nThe text mentions that Alexander Vilf is",
"NO_RELATION.\n\nEntities refer to 'Alexander Vilf' and 'Russian",
"\"BANNED_FROM\"",
"ESTIMATE: The text does not provide enough context to establish a relation between the entities. However",
"[{\"relation\": \"MENTIONED_IN\"}]\n\nOr, since the text ment",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"MENTIONED_BY\"}]\n\nOr, since the text explicitly",
"INTERACTED_WITH",
"NO_RELATION",
"Belongs_To\n\n[Explanation: The text mentions that Alexander Vilf is",
"[\"SUSPENDED_ON\"]",
"NO_RELATION.\n\nEntities refer to 'Alexander Vilf' and 'Bysh",
"MENTIONED_IN_ARTICLE",
"NO_RELATION.\n\nEntities refer to 'Alexander Vilf' and 'Russia",
"[\"ORG_REPORTS_ON\", \"ORG\"]\n\n[{'head':",
"[\"MENTIONED_IN\"]",
"\"SPEAKS_AT\"",
"MENTIONED_IN\n\n[Explanation: The text mentions RIA Novosti",
"[\"REPORTS_ABOUT\"]",
"\"TIME_PERIOD_DURATION_OF_EVENT\"",
"NO_RELATION",
"\"TIME_PERIOD_MENTIONED_BY_ORG\"",
"REPORTS_ABOUT\n\nExplanation:\nThe text mentions that RIA",
"[{\"relation\": \"reported_by\"}]\n\nThis relation indicates that RIA Nov",
"\"European\": {\"type\": \"ban\", \"source\": \"RIA Novosti\"}\n",
"ESTIMATE: The text does not provide enough context to establish a relation between the entities. However",
"MENTIONS_RELATION\n\"reported\\_about\"\n\"RIA Novosti\"",
"[\"MENTIONED_IN_CONTEXT\"]\n\n[{'head': ['35', '",
"\"SPEAKS_AT\"",
"INTERACTED_WITH",
"[\"MEDIA_OUTLET\", \"HOSTS\"]",
"REPORTS_ON",
"[\"SUSPENDED_AFTER_ROUND\"]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between '",
"[{\"label\": \"MENTIONED_IN_TEXT\"}]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"DURATION_OF_EVENT\", \"45 days\", \"HOSTED_AT\",",
"believes_season_can_last_for\n\n[{'head': ['39",
"believes_for\n\nExplanation:\nThe text states that Georgy J",
"[\"DURATION_OF_EVENT\", \"45 days\", \"HOSTED_BY\",",
"[\"DURATION_OF_EVENT\", \"45 days\", \"CHAMPIONSHIP",
"NO_RELATION",
"[\"MENTIONED_BY\"]",
"\"DURATION\\_OF\\_EVENT\"\n\nExplanation:\nGeorgy J",
"Believes_In\n\nExplanation:\nThe text states that Georgy J",
"SPEAKS_TO",
"[\"SPEAKS_AT\"]",
"[\"DURATION_OF_EVENT\", \"45 days\", \"CHAMPIONSHIP",
"[\"FUTURE_PREDICTION_BY\"]",
"believes_for\n\nExplanation:\nThe text states that Georgy D",
"[\"DURATION_OF_EVENT\", \"45 days\", \"HOSTED_IN\",",
"[{\"head\": \"RPL\", \"relation\": \"BELONGS_TO\", \"",
"Belongs_To\n\nExplanation:\nThe text mentions that Georgy J",
"Believes_For_Organization",
"[\"IDENTICAL\"]\n\nExplanation:\nThe text mentions that Georgy J",
"[{\"relation\": \"EQUAL\"}]\n\nOr, since the entities are the same, it",
"\"CAN_BE_FINISHED_IN\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"Mentioned_in\n\n[Explanation: The text mentions \"RIA Nov",
"\"DURATION_OF_EVENT\"\n\nExplanation:\nThe given text ment",
"[{\"IS_A\": [\"RPL\", \"Russian Premier League\"]}]\n\nOr",
"BANNED_FROM\n\nExplanation:\nThe text states that \"All Russian",
"\"DURATION\"\n\nExplanation:\nThe text states that Georgy J",
"[\"PRECEDES\"]\n\nExplanation:\nThe text states that \"there is",
"[\"CAN_COMPLETE_IN_TIME\", \"RPL\", \"two\"]",
"Believes_for_ORG_Season_OF_PERSON",
"INTERACTED_WITH",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"EQUAL\"}]\n\nOr, since we're dealing with organizations:",
"[\"SUSPENDED_AFTER_ROUND\"]",
"[\"FUTURE_OF\"]",
"[{\"label\": \"BELIEves_IN\", \"head\": \"RPL\", \"",
"[{\"relation\": \"HOST_OF\"}]\n\nExplanation:\nThe text ment",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"Believes_For\": [\"Russian\", \"Georgy Jikia\"]",
"[{\"relation\": \"BELONGS_TO\"}]\n\nExplanation:\n",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"Believes_About\n\n[Explanation: Georgy Jikia believes that",
"\"SPEAKS_WITH\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"BELONGS_TO\"}]\n\nExplanation:\n",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"label\": \"MENTIONED_IN_CONTEXT\", \"relation\": \"mentioned_",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"BANNED_FROM\", \"head\": \"European\", \"",
"[{\"banned_from\": \"European\", \"entity\": \"European\", \"head",
"[{\"label\": \"BELIEves_IN\", \"head\": \"European\", \"",
"\"European.ban.Russian Premier League\"\nor\n\"European_competitions",
"\"European.ban.RPL\"\nor\n\"RPL.banned_from",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"MENTIONED_IN.",
"\"BANNED_FROM\"\n\nExplanation:\nThe text mentions that",
"[{\"label\": \"BELONGS_TO\", \"head\": \"European\", \"",
"MENTIONED_IN_CONVERSATION",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"\"European.ban.RPL\"\nor\n\"RPL.banned_from",
"[{\"label\": \"FUTURE_OF\"}]\n\nThis text mentions that By",
"[{\"label\": \"FUTURE_OF\"}]\n\nThis text indicates that Dj",
"[{\"relation\": \"BANNED_FROM\", \"head\": \"European\", \"",
"[\"DURATION_OF_EVENT\", \"40-45 days\", \"BEL",
"believes_that_season_can_last\n\n[{'head': ['62",
"believes_in_duration_for_Georgy_Jikia",
"[\"DURATION\"]\n\nExplanation:\nThe text states that Georgy J",
"[\"DURATION\"]\n\nExplanation:\nThe text mentions that Georgy",
"NO_RELATION",
"MENTIONED_IN",
"[\"DURATION\"]\n\nExplanation:\nThe text mentions that Georgy",
"believes_that\n\n[{'head': ['40-45 days'], '",
"SPEAKS_TO",
"[\"DISCUSSION_ON\", \"INSTagram\"]",
"[\"DURATION\"]\n\nExplanation:\nThe text mentions that Georgy",
"[\"FUTURE_OF\"]",
"believes_for_duration",
"[\"DURATION_OF_EVENT\", \"40-45 days\", \"HOSTED",
"[\"HOST_OF\"] # The Cup of Russia is the host of the event in Moscow.",
" PARTICIPANT\n\nExplanation:\nThe text mentions that \"there is still the",
"DISCUES_ABOUT",
"[\"COMPLEMENTS_EVENT_LEAGUE\"]\n\nExplanation:\nThe text",
"[\"COMPLETES_AFTER\", \"the Cup of Russia\", \"RPL\"]\n\n",
"MENTIONED_IN\n\n[Explanation: In the context, Alexander Vilf is",
"MENTIONED_IN\n\nExplanation:\nThe text mentions that RIA Nov",
"[\"COMPLETES_AFTER\", \"the Cup of Russia\", \"RPL\"]\n\n",
" Participated_in",
"INTERACTS_WITH",
"[\"DISCUSSION_FORUM\", \"EVENT\", \"ORG\"] # The event (C",
"[\"COMPLETES_AFTER\", \"the Cup of Russia\", \"RPL\"]\n\n",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
" PARTICIPANT_IN",
"[{\"relation\": \"LOCATED_IN\"}]\n\nExplanation:\nThe text",
"[{'head': 'three', 'tail': 'Moscow', 'label': 'LOC",
"[{\"believes_for\": \"two\", \"believes_about\": \"R",
"believes_in\n\nExplanation:\nThe text states that Georgy J",
"[\"OPINION_WITH_SUPPORT\", {\"head\": \"Georgy Jikia\",",
"[\"CAN_FINISH_IN_X_DAYS\"]\n\n[{'head': '",
"NO_RELATION",
"\"MENTIONED\\_BY\"",
"[\"CAN_FINISH_IN_X_DAYS\"]\n\n[{'head': '",
"believes_in\n\n[{'head': ['113', '114",
"INTERACTED_WITH",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"CAN_FINISH_IN_X_DAYS\"]\n\n[{'head': '",
"[\"FUTURE_OF\"]",
"[{\"label\": \"FUTURE_OF\"}]",
"[{\"relation\": \"SPEAKS_FOR\", \"head\": \"Georgy Jik",
"DEFENDS\n\n[{'head': 'Jikia', 'tail': ['Mos",
"DEFENDER_OF",
"[{\"relation\": \"SELF_MENTION\"}]\n\nOr, since the text explicitly",
"Believes_for_Completion_Of_League",
"Believes_for_entity_head_in_relation_to_entity_tail\n",
"\"DURATION_OF_TIME_FOR_COMPLETING_RPL\"",
"Believes_In\n\n[{'head': ['113', '114",
"\"SPEAKS_TO\"\n\nor\n\n\"INTERACTS_WITH\"\n",
"believes_that_duration_is\n\nThis relation represents that Jikia believes that",
"Believes_for_entity_HEAD_to_play_for_entity_TAIL",
"Believes_For_NATION_OR_ETHNICITY\n\nThis relation indicates",
"\"BANNED_FROM\"",
"\"DURATION_OF_TIME_FOR_COMPLETION\"",
"[\"DISCUES_EVENT\"]",
"[{\"relation\": \"SPEAKS_ABOUT\", \"head\": \"Jikia\",",
"INTERACTED_WITH",
"INTERACTS_WITH",
"Believes_for_entity_head_in_relation_to_entity_tail\n",
"[\"SUSPENDED_AFTER_ROUND\"]",
"[{\"label\": \"FUTURE_OF\"}]\n\nThis relation indicates that Jik",
"[\"FUTURE_OF\"]",
"[{\"label\": \"MEMBER_OF\", \"head\": \"Jikia\", \"tail",
"NO_RELATION",
"INTERACTED_WITH",
"INTERACTED_WITH",
"DISCUES_ABOUT",
"\"SPEAKS_ABOUT\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION",
"NO_RELATION.\n\nThe text does not provide any context regarding a relation between \"N",
"NO_RELATION",
"\"SPEAKS_FOR\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"DISCUES\n\nThis relation indicates that Nobel Arustamian talks about or discusses",
"[\"DISCUSSED_TOPIC\", \"NO_RELATION\"]\n\nExplanation",
"INTERACTED_WITH",
"NO_RELATION\n\nEntities:\n[{'head': ['Georgy Jikia",
"\"SPEAKS_FOR\"",
"[\"DISCUSSION_ABOUT\"]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"SPEAKS_ABOUT",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"HEAD_ORG_HAS_CONVERSATION_WITH_PERSON\", \"INST",
"\"SPEAKS_FOR\"",
"SPEAKS_AT",
"DISCUES_ABOUT",
"DISCUES_ABOUT",
"\"DISCUSSION_TOPIC\"\n\nExplanation:\nThe text discusses Ge",
"NO_RELATION",
"[\"SPEAKS_AT\", \"INSTAGRAM\", \"NO_RELATION\", \"",
"DISCUSSION_ABOUT\n\nExplanation:\nGeorgy Jikia discussed",
"DISCUES_ABOUT",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"\"BANNED_FROM\"",
"\"TIME_PERIOD_DURATION_DISCUSSED\"",
"DISCUSSION_ABOUT\n\nExplanation:\nThe text mentions that Geor",
"[\"SPEAKS_ABOUT\"]\n\nExplanation:\nGeorgy Jik",
"\"SPEAKS_AT\"",
"INTERACTED_WITH",
"DISCUES_ABOUT",
"[\"SUSPENDED_AFTER\"]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"\"SPEAKS_ABOUT\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"head\": \"RPL\", \"relation\": \"BELONGS_TO\", \"",
"belongs_to",
"Believes_for_ORG\n\nThis means that the Russian Premier League (RPL",
"[\"IDENTICAL\"]\n\nExplanation:\nThe text mentions that Georgy J",
"[{\"relation\": \"CHAMPIONSHIP_OF\"}]\n\nThis relation indicates that",
"\"CAN_BE_COMPLETED_IN\"",
"Belongs_To\n\nExplanation:\nThe text mentions that Georgy J",
"DISCUES_WITH",
"\"DURATION\\_OF\\_EVENT\"\n\nExplanation:\nThe text states that",
"[\"CAN_FINISH\"]",
"[{\"relation\": \"PART_OF\"}]\n\nThis text describes Georgy Jik",
"BANNED_FROM\n\nExplanation:\nThe text mentions that Russian Premier",
"\"DURATION\"\n\nExplanation:\nThe text states that Georgy J",
"[\"PRECEDES\"]\n\nExplanation:\nThe text states that \"there is",
"[\"CAN_COMPLETE_IN_TIME\", \"RPL\", \"two\"]",
"Believes_for_ORG_Season_OF_PERSON",
"INTERACTED_WITH",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"SUSPENDED_AFTER_ROUND\"]",
"[{\"label\": \"NAMED_PERSON_OF_INTEREST\", \"relation\": \"",
"[{\"label\": \"BELIEves_IN\", \"head\": \"RPL\", \"",
"[{\"relation\": \"HOST_OF\"}]\n\nExplanation:\nThe text ment",
"[\"SUSPENDED_AT\", \"22-th\", \"Moscow\"]",
"[\"SUSPENDED_AFTER_ROUND\"]",
"[{\"relation\": \"SPEAKS_ABOUT\"}]",
"[\"SUSPENDED_BY\"]",
"[\"SUSPENDED\"]\n\nExplanation:\nThe text mentions that the",
"NO_RELATION.",
"[\"MENTIONED_IN\"]",
"[\"SUSPENDED\"]",
"[{\"relation\": \"SPEAKS_ABOUT\"}]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[\"SUSPENDED_BY\"]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[\"SUSPENDED_IN\", \"22-th\", \"Russia\"]",
"[{\"head\": \"Byshovets\", \"relation\": \"named\", \"tail\": \"",
"[{\"label\": \"NAMED_PERSON_OF_ORG\", \"head\": \"",
"[{\"label\": \"MENTOR_OF\"}]",
" named_as_future_of\n\nThis relation indicates that Byshovets is named as",
" named_as_future_league\n (Note: I assume this is a new relation label",
"\"PROPOSED_DURATION_FOR_COMPLETION\"",
"NO_RELATION",
"MENTIONED_IN.\n\n[Explanation: In the context, Byshov",
" named_duration\n\nThis relation indicates that Byshovets named a duration (45 days",
" named_champion\n\nThis relation indicates that Byshovets named RPL (Russian",
"[{\"label\": \"NAMED_PERSON_OF_NATIONALITY\", \"head",
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[
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[
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295 | [
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Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
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["Welcome to Brushy Mountain Powersports: your Honda®, Yamaha, and Kawasaki dealer for the Yadkin Valley/Blue Ridge Foothills area! We are conveniently located on U.S Highway 421 just west of Wilkesboro, and only 20 minutes south of the Blue Ridge Parkway.\nWe purchased this dealership in October, 2017 after almost 20 years of operation. But don't worry - You'll still see the all familiar faces of our incredibly experienced Brushy Mountain team. We invite you to stop by and see what's different at the new Brushy Mountain Powersports!\n- Tim and Lynn Quinn"]
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Relation:
[/INST]
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{
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[
{
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}
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[
{
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}
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[
{
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[
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[
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[
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[
{
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[
{
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[
{
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[
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[
{
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}
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[
{
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[
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}
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[
{
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}
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[
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}
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[
{
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[
{
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}
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[
{
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}
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[
{
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[
{
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[
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}
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}
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[
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}
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[
{
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"Brushy Mountain Powersports"
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}
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[
{
"head": [
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"Brushy Mountain Powersports"
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}
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[
{
"head": [
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"103",
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],
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}
],
[
{
"head": [
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"103",
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"Brushy Mountain Powersports"
],
"tail": [
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}
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[
{
"head": [
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"Brushy Mountain Powersports"
],
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}
],
[
{
"head": [
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"103",
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],
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}
],
[
{
"head": [
"100",
"103",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
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"37",
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]
}
],
[
{
"head": [
"100",
"103",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"39",
"42",
"TIME",
"only 20 minutes"
]
}
],
[
{
"head": [
"100",
"103",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
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"48",
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]
}
],
[
{
"head": [
"100",
"103",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"55",
"58",
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"October, 2017"
]
}
],
[
{
"head": [
"100",
"103",
"ORG",
"Brushy Mountain Powersports"
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"59",
"62",
"DATE",
"almost 20 years"
]
}
],
[
{
"head": [
"100",
"103",
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"Brushy Mountain Powersports"
],
"tail": [
"82",
"84",
"LOC",
"Brushy Mountain"
]
}
],
[
{
"head": [
"100",
"103",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"105",
"107",
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"- Tim"
]
}
],
[
{
"head": [
"100",
"103",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"108",
"110",
"PERSON",
"Lynn Quinn"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
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"8",
"ORG",
"Honda"
]
}
],
[
{
"head": [
"105",
"107",
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"- Tim"
],
"tail": [
"10",
"11",
"ORG",
"Yamaha"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"13",
"14",
"ORG",
"Kawasaki"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"17",
"19",
"LOC",
"Yadkin Valley"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"20",
"23",
"LOC",
"Blue Ridge Foothills"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"30",
"33",
"FAC",
"U.S Highway 421"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"36",
"37",
"GPE",
"Wilkesboro"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"39",
"42",
"TIME",
"only 20 minutes"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"44",
"48",
"FAC",
"the Blue Ridge Parkway"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"55",
"58",
"DATE",
"October, 2017"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"59",
"62",
"DATE",
"almost 20 years"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"82",
"84",
"LOC",
"Brushy Mountain"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"100",
"103",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"105",
"107",
"PERSON",
"- Tim"
],
"tail": [
"108",
"110",
"PERSON",
"Lynn Quinn"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"7",
"8",
"ORG",
"Honda"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"10",
"11",
"ORG",
"Yamaha"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"13",
"14",
"ORG",
"Kawasaki"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"17",
"19",
"LOC",
"Yadkin Valley"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"20",
"23",
"LOC",
"Blue Ridge Foothills"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"30",
"33",
"FAC",
"U.S Highway 421"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"36",
"37",
"GPE",
"Wilkesboro"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"39",
"42",
"TIME",
"only 20 minutes"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"44",
"48",
"FAC",
"the Blue Ridge Parkway"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"55",
"58",
"DATE",
"October, 2017"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"59",
"62",
"DATE",
"almost 20 years"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"82",
"84",
"LOC",
"Brushy Mountain"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"100",
"103",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"108",
"110",
"PERSON",
"Lynn Quinn"
],
"tail": [
"105",
"107",
"PERSON",
"- Tim"
]
}
]
] | [
"DEALER_OF",
"DEALER_OF",
"DEALER_OF",
"LOCATION_IN\n\nExplanation:\nThe text mentions that Brushy Mountain",
"LOCATION_NEARBY",
"LOCATED_ON",
"LOCATED_NEARBY",
"\"IS_NEAR_IN_TIME\"",
"\"NEAR\"",
"\"OWNED_BY\"",
"OPERATED_FOR\n\nOr, if you prefer a more JSON-like format:\n{",
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"Same entity, no relation exists.\n\nOr, if you consider \"Brushy Mountain Pow",
"[{\"relation\": \"OWNER_OF\"}]",
"[{\"relation\": \"OWNER_OF\"}]",
"DEALER_OF",
"DEALER_OF",
"DEALER_OF",
"LOCATION_NEARBY",
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"LOCATED_ON",
"LOCATED_NEARBY",
"DISTANCE_20_MINUTES",
"\"NEAR\"",
"\"OWNED_BY\"",
"[{\"relation\": \"PREEXISTED_FOR\"}]\n\nOr, if you prefer",
"DEALER_OF",
"DEALER_OF",
"[{\"relation\": \"OWNER_OF\"}]\n\nThis relation indicates that the head",
"[{\"relation\": \"OWNER_OF\"}]\n\nThis relation indicates that the head",
"DEALER_OF",
"DEALER_OF",
"[\"DEALER_FOR\"]",
"LOCATION_NEARBY",
"LOCATION_NEARBY",
"LOCATED_ON",
"LOCATED_NEAR\n\nOr, if using a pre-defined list of relation labels:",
"[\"DISTANCE_20_MINUTES\"]",
"\"NEAR\"",
"\"PRES_OWNER_OF\"\n\nThis relation indicates that the head entity (",
"OPERATED_FOR\n\nOr, if you prefer a more JSON-like format:\n{",
"DEALER_OF",
"DEALER_OF",
"[\"OWNER\"]",
"[{\"relation\": \"OWNER_OF\"}]\n\nThis relation indicates that the organization",
"DEALER_OF",
"DEALER_OF",
"DEALER_OF",
"LOCATION_NEARBY",
"LOCATION_NEARBY",
"LOCATED_ON",
"LOCATED_NEAR\n\nOr, if using a specific relation labeling system:\n\n",
"DISTANCE_20_MINUTES",
"\"NEAR\"",
"\"OWNED_BY\"",
"OPERATED_FOR\n\nOr, if you prefer a more JSON-like format:\n{",
"DEALER_OF",
"DEALER_OF",
" [\"OWNER\"]",
"\"OWNER\"",
"LOCATED_IN",
"LOCATION_NEARBY",
"LOCATION_NEARBY",
"LOCATION_NEARBY",
"[\"NEAR_BY\"]",
"LOCATED_ON",
"LOCATION_NEARBY",
"[\"DISTANCE_OF_TIME\"]\n\nExplanation:\nThe text mentions",
"\"NEAR\"\n\nOr, since the text mentions \"only 20 minutes south",
"\"PRECEDES\"",
"PRECEDING_EVENT\n\nExplanation:\nThe text mentions that the deal",
"LOCATION_NEARBY",
"LOCATED_IN",
"LOCATION_OF\n\nExplanation:\nThe text mentions that Brushy Mountain",
"LOCATION_OF\n\n[{'head': ['17', '19', 'LOC",
"LOCATION_NEARBY",
"LOCATION_NEARBY",
"LOCATION_NEARBY",
"LOCATION_NEARBY",
"[\"LOC_IN_LOCATION\"]\n\nThis relation indicates that the Blue Ridge Foothills",
"NEAR\n\nExplanation:\nThe text mentions that U.S Highway 4",
"\"NEAR_CITY\"",
"[\"IS_PREPOSITIONAL_PHRASE_OF\"]\n\nExplanation:",
"\"NEAR\"",
"PRECEDED_BY",
"\"PRECEDES\"",
"LOCATION_NEARBY",
"LOCATED_IN",
"LOCATION_OF\n\n[Explanation: The text mentions that Tim and Lynn",
"LOCATION_OF\n\n[{'head': ['20', '23', 'LOC",
"LOCATED_ON",
"LOCATED_NEAR\n\nOr, if you prefer a more standardized format for JSON:",
"LOCATED_NEAR\n\nOr, if you prefer a more standardized format for JSON:",
"LOCATED_NEARBY",
"LOCATION_NEARBY",
"LOCATION_NEARBY",
"LOCATED_NEARBY",
"LOCATED_ON",
"LOCATED_ON",
"LOCATED_NEAR\n\n[{'head': ['30', '33', '",
"LOCATED_NEAR\n\nOr, if you prefer a more standardized format:\n\n",
"LOCATED_NEARBY",
"LOCATED_NEARBY",
"LOCATED_NEARBY",
"LOCATED_NEARBY",
"LOCATION_NEARBY",
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"OPERATED_FOR\n\n[Explanation: The relation \"OPERATED\\_FOR\" indicates",
"LOCATED_AT",
"LOCATED_NEARBY",
"LOCATED_NEAR\n\nExplanation:\nThe text mentions that Brushy",
"LOCATED_NEAR\n\nOr, if you prefer a more standardized format:\n\n",
"\"NEARBY\"",
"\"TIME_DIFF\"\n\nThis relation represents the time difference between the two entities. In",
"\"TIME_DIFF\"",
"\"TIME_DIFF\"",
"\"TIME_DIFF\"\n\nThis relation indicates the time difference between the two entities. In",
"[\"IS_LOCATED_NEAR\"]",
"\"DISTANCE_20_MINUTES\"",
"\"IS_NEARBY\"",
"\"DISTANCE_20_MINUTES\"",
"\"TIME_DIFFERENCE\"",
"\"TIME_DIFF\"",
"LOCATED_NEARBY",
"\"NEAR\"\n\nOr, since the text mentions \"only 20 minutes south",
"\"NEAR_BY\"",
"\"NEAR\"\n\nExplanation:\nThe text mentions that the dealership is",
"\"NEAR_BY\"",
"\"NEAR\"\n\nExplanation:\nThe text mentions that the dealership is",
"\"NEAR\"\n\nExplanation:\nThe text mentions that the dealership is",
"\"NEAR\"\n\nOr, since the entities are given as strings, it could be:",
"\"NEAR\"",
"\"OWNER_OF\"",
"\"OWNER_OF\"",
"\"purchased\\_by\"",
"[\"purchased_by\"]",
"[\"purchased_by\"]",
"[\"purchased_by\"]",
"[\"PRESENT_AT\"]\n\nExplanation:\nThe text mentions that the",
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"[\"PREVIOUS_LOCATION_OF\", \"October, 2017",
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"\"purchased\\_by\"",
"[\"OWNED_BY\"]",
"[\"OWNED_BY\"]",
"OPERATED_BY",
"OPERATED_BY",
"OPERATED_FOR\n\nExplanation:\nThe text mentions that the dealership had",
"OPERATED_BY",
"[{\"relation\": \"PREVIOUS_LOCATION_OF\"}]\n\nOr,",
"LOCATION_NEARBY",
"LOCATION_PRESENCE",
"OPERATED_FOR\n\n[{'head': ['59', '62', 'DATE",
"OPERATED_BY",
"[\"OWNED_BY\"]",
"[\"OWNED_BY\"]",
"[\"DEALERSHIP\"]",
"DEALER_OF",
"DEALER_OF",
"DEALER_OF",
"LOCATION_NEARBY",
"LOCATION_NEARBY",
"LOCATED_ON",
"LOCATED_NEARBY",
"[\"DISTANCE_20_MINUTES\"]",
"\"NEAR\"",
"\"PREV_OWNERSHIP_START_DATE\"",
"OPERATED_FOR\n\nOr, if you prefer a more modern JSON format:\n\n{",
"[\"IS_A\"]\n\nExplanation:\nThe text mentions that \"Brush",
"[{\"relation\": \"OWNER_OF\"}]",
"[{\"relation\": \"OWNER_OF\"}]",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are the same:",
"DEALER_OF",
"DEALER_OF",
"DEALER_OF",
"LOCATION_IN\n\nExplanation:\nThe text mentions that Brushy Mountain",
"LOCATION_IN\n\nExplanation:\nThe text mentions that Brushy Mountain",
"LOCATED_ON",
"LOCATED_NEARBY",
"\"IS_NEAR_IN_TIME\"",
"\"NEAR\"",
"\"PURCHASED\\_IN\"",
"[{\"relation\": \"PREEXISTED_FOR\"}]\n\nThis relation indicates that the",
"LOCATED_AT",
"[{\"relation\": \"OWNER_OF\"}]",
"[{\"relation\": \"OWNER_OF\"}]",
"[\"OWNER\"]",
"DEALER\n\nExplanation:\nThe text mentions that Tim and Lynn Quinn",
"DEALER_OF",
"DEALER_OF",
"LOCATION_OF\n\nOr, if you prefer a more JSON-like format:\n\n",
"LOCATED_IN",
"LOCATED_ON",
"LOCATED_NEARBY",
"[\"DISTANCE_20_MINUTES\"]",
"\"NEAR\"",
"[\"OWNED_BY\"]",
"OPERATED_FOR_DURATION",
"[{\"relation\": \"OWNER_OF\"}]\n\nThis relation indicates that Tim and",
"[{\"relation\": \"OWNER_OF\"}]",
"[{\"relation\": \"CO-OWNER\"}]",
" Owner_of\n\n This indicates that Lynn Quinn owns Brushy Mountain Powersports",
"[{\"relation\": \"OWNER_OF\"}]\n\nThis relation indicates that Lynn",
"[{\"relation\": \"DEALER_OF\"}]\n\nThis relation indicates that Lynn",
"DEALER_OF",
"LOCATION_IN_AREA",
"LOCATION_IN_AREA",
"LOCATED_ON",
"LOCATED_NEARBY",
"\"TIME_DIFFERENCE\"",
"\"NEAR\"",
"\"OWNED_BY\"",
"[{\"relation\": \"PRES_IN_ORG_FOR_DUR\"}]\n",
" Owns\n\n Explanation:\n The text mentions that \"Lynn Quinn\"",
" Owner_of\n\n Explanation:\n The text mentions that \"Tim and Lyn",
"[{\"relation\": \"CO-OWNER\"}]"
] | [
[
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
],
[
"7",
"8",
"ORG",
"Honda"
],
[
"10",
"11",
"ORG",
"Yamaha"
],
[
"13",
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"ORG",
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],
[
"17",
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],
[
"20",
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],
[
"30",
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],
[
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],
[
"39",
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"only 20 minutes"
],
[
"44",
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],
[
"55",
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],
[
"59",
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"DATE",
"almost 20 years"
],
[
"82",
"84",
"LOC",
"Brushy Mountain"
],
[
"100",
"103",
"ORG",
"Brushy Mountain Powersports"
],
[
"105",
"107",
"PERSON",
"- Tim"
],
[
"108",
"110",
"PERSON",
"Lynn Quinn"
]
] | 294 |
296 | [
"Welcome to Brushy Mountain Powersports, your Honda®, Yamaha, and Kawasaki dealer for the Yadkin Valley/Blue Ridge Foothills area! We are conveniently located on 4641 West Highway 421, Wilkesboro, and only 20 minutes south of the Blue Ridge Parkway.\nWe purchased this dealership in October, 2017 after almost 20 years of operation. But don't worry - You'll still see all the familiar faces of our incredibly experienced Brushy Mountain Powersports team. Our goal is to provide you an opportunity to experience a broad selection of motorcycles, dirt bikes, ATVs, and side-by-sides in a laid-back environment. No pressure here, just a group of powersports enthusiasts ready to show you all the latest models from our brands.\nWe invite you to stop by and see what's different at the new Brushy Mountain Powersports.\n- Tim and Lynn Quinn"
] | [
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["Welcome to Brushy Mountain Powersports, your Honda®, Yamaha, and Kawasaki dealer for the Yadkin Valley/Blue Ridge Foothills area! We are conveniently located on 4641 West Highway 421, Wilkesboro, and only 20 minutes south of the Blue Ridge Parkway.\nWe purchased this dealership in October, 2017 after almost 20 years of operation. But don't worry - You'll still see all the familiar faces of our incredibly experienced Brushy Mountain Powersports team. Our goal is to provide you an opportunity to experience a broad selection of motorcycles, dirt bikes, ATVs, and side-by-sides in a laid-back environment. No pressure here, just a group of powersports enthusiasts ready to show you all the latest models from our brands.\nWe invite you to stop by and see what's different at the new Brushy Mountain Powersports.\n- Tim and Lynn Quinn"]
Entities:
[{'head': ['2', '5', 'ORG', 'Brushy Mountain Powersports'], 'tail': ['7', '8', 'ORG', 'Honda']}]
Relation:
[/INST]
| [
[
{
"head": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"7",
"8",
"ORG",
"Honda"
]
}
],
[
{
"head": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"10",
"11",
"ORG",
"Yamaha"
]
}
],
[
{
"head": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"13",
"14",
"ORG",
"Kawasaki"
]
}
],
[
{
"head": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"17",
"19",
"LOC",
"Yadkin Valley"
]
}
],
[
{
"head": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"35",
"36",
"GPE",
"Wilkesboro"
]
}
],
[
{
"head": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"38",
"41",
"TIME",
"only 20 minutes"
]
}
],
[
{
"head": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"43",
"47",
"FAC",
"the Blue Ridge Parkway"
]
}
],
[
{
"head": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"54",
"57",
"DATE",
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]
}
],
[
{
"head": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
],
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"58",
"61",
"DATE",
"almost 20 years"
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}
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[
{
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"ORG",
"Brushy Mountain Powersports"
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"Brushy Mountain Powersports"
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{
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"ORG",
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[
{
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],
"tail": [
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"164",
"PERSON",
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{
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"5",
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"PERSON",
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}
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[
{
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"8",
"ORG",
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],
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"5",
"ORG",
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]
}
],
[
{
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"8",
"ORG",
"Honda"
],
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"10",
"11",
"ORG",
"Yamaha"
]
}
],
[
{
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"7",
"8",
"ORG",
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],
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}
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[
{
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"8",
"ORG",
"Honda"
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"LOC",
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}
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[
{
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"8",
"ORG",
"Honda"
],
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"36",
"GPE",
"Wilkesboro"
]
}
],
[
{
"head": [
"7",
"8",
"ORG",
"Honda"
],
"tail": [
"38",
"41",
"TIME",
"only 20 minutes"
]
}
],
[
{
"head": [
"7",
"8",
"ORG",
"Honda"
],
"tail": [
"43",
"47",
"FAC",
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]
}
],
[
{
"head": [
"7",
"8",
"ORG",
"Honda"
],
"tail": [
"54",
"57",
"DATE",
"October, 2017"
]
}
],
[
{
"head": [
"7",
"8",
"ORG",
"Honda"
],
"tail": [
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"61",
"DATE",
"almost 20 years"
]
}
],
[
{
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"8",
"ORG",
"Honda"
],
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"84",
"ORG",
"Brushy Mountain Powersports"
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}
],
[
{
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"8",
"ORG",
"Honda"
],
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"ORG",
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}
],
[
{
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"8",
"ORG",
"Honda"
],
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"164",
"PERSON",
"Tim"
]
}
],
[
{
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"8",
"ORG",
"Honda"
],
"tail": [
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"167",
"PERSON",
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}
],
[
{
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"11",
"ORG",
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}
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[
{
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[
{
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[
{
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"19",
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}
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[
{
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"11",
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]
}
],
[
{
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"11",
"ORG",
"Yamaha"
],
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"41",
"TIME",
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]
}
],
[
{
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"11",
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}
],
[
{
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"11",
"ORG",
"Yamaha"
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[
{
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{
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}
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[
{
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],
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}
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[
{
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"11",
"ORG",
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],
"tail": [
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"167",
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]
}
],
[
{
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"14",
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{
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"14",
"ORG",
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"19",
"LOC",
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}
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[
{
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"14",
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[
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[
{
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{
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"14",
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{
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[
{
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"14",
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[
{
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"19",
"LOC",
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],
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"5",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
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"19",
"LOC",
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"8",
"ORG",
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[
{
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"19",
"LOC",
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[
{
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"19",
"LOC",
"Yadkin Valley"
],
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"160",
"ORG",
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]
}
],
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{
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"19",
"LOC",
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"164",
"PERSON",
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]
}
],
[
{
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"19",
"LOC",
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]
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{
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}
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[
{
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"8",
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"Honda"
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}
],
[
{
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"36",
"GPE",
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],
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"11",
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[
{
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[
{
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}
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{
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[
{
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"36",
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{
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{
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{
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"TIME",
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{
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[
{
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"TIME",
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[
{
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[
{
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[
{
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[
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[
{
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{
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[
{
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"the Blue Ridge Parkway"
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"PERSON",
"Tim"
]
}
],
[
{
"head": [
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"47",
"FAC",
"the Blue Ridge Parkway"
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"tail": [
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"PERSON",
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}
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[
{
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"DATE",
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{
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[
{
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[
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],
"tail": [
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"19",
"LOC",
"Yadkin Valley"
]
}
],
[
{
"head": [
"54",
"57",
"DATE",
"October, 2017"
],
"tail": [
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"36",
"GPE",
"Wilkesboro"
]
}
],
[
{
"head": [
"54",
"57",
"DATE",
"October, 2017"
],
"tail": [
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}
],
[
{
"head": [
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"DATE",
"October, 2017"
],
"tail": [
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}
],
[
{
"head": [
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],
"tail": [
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]
}
],
[
{
"head": [
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"57",
"DATE",
"October, 2017"
],
"tail": [
"165",
"167",
"PERSON",
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}
],
[
{
"head": [
"58",
"61",
"DATE",
"almost 20 years"
],
"tail": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"58",
"61",
"DATE",
"almost 20 years"
],
"tail": [
"7",
"8",
"ORG",
"Honda"
]
}
],
[
{
"head": [
"58",
"61",
"DATE",
"almost 20 years"
],
"tail": [
"10",
"11",
"ORG",
"Yamaha"
]
}
],
[
{
"head": [
"58",
"61",
"DATE",
"almost 20 years"
],
"tail": [
"13",
"14",
"ORG",
"Kawasaki"
]
}
],
[
{
"head": [
"58",
"61",
"DATE",
"almost 20 years"
],
"tail": [
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}
],
[
{
"head": [
"58",
"61",
"DATE",
"almost 20 years"
],
"tail": [
"35",
"36",
"GPE",
"Wilkesboro"
]
}
],
[
{
"head": [
"58",
"61",
"DATE",
"almost 20 years"
],
"tail": [
"81",
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"ORG",
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]
}
],
[
{
"head": [
"58",
"61",
"DATE",
"almost 20 years"
],
"tail": [
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]
}
],
[
{
"head": [
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"DATE",
"almost 20 years"
],
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}
],
[
{
"head": [
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],
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}
],
[
{
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}
],
[
{
"head": [
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],
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}
],
[
{
"head": [
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],
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}
],
[
{
"head": [
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],
"tail": [
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"ORG",
"Kawasaki"
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}
],
[
{
"head": [
"81",
"84",
"ORG",
"Brushy Mountain Powersports"
],
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]
}
],
[
{
"head": [
"81",
"84",
"ORG",
"Brushy Mountain Powersports"
],
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]
}
],
[
{
"head": [
"81",
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],
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"38",
"41",
"TIME",
"only 20 minutes"
]
}
],
[
{
"head": [
"81",
"84",
"ORG",
"Brushy Mountain Powersports"
],
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"43",
"47",
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]
}
],
[
{
"head": [
"81",
"84",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"54",
"57",
"DATE",
"October, 2017"
]
}
],
[
{
"head": [
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],
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]
}
],
[
{
"head": [
"81",
"84",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
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"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"81",
"84",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"163",
"164",
"PERSON",
"Tim"
]
}
],
[
{
"head": [
"81",
"84",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"165",
"167",
"PERSON",
"Lynn Quinn"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"7",
"8",
"ORG",
"Honda"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"10",
"11",
"ORG",
"Yamaha"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"13",
"14",
"ORG",
"Kawasaki"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"17",
"19",
"LOC",
"Yadkin Valley"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"35",
"36",
"GPE",
"Wilkesboro"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"38",
"41",
"TIME",
"only 20 minutes"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"43",
"47",
"FAC",
"the Blue Ridge Parkway"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"54",
"57",
"DATE",
"October, 2017"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"58",
"61",
"DATE",
"almost 20 years"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"81",
"84",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"163",
"164",
"PERSON",
"Tim"
]
}
],
[
{
"head": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
"tail": [
"165",
"167",
"PERSON",
"Lynn Quinn"
]
}
],
[
{
"head": [
"163",
"164",
"PERSON",
"Tim"
],
"tail": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"163",
"164",
"PERSON",
"Tim"
],
"tail": [
"7",
"8",
"ORG",
"Honda"
]
}
],
[
{
"head": [
"163",
"164",
"PERSON",
"Tim"
],
"tail": [
"10",
"11",
"ORG",
"Yamaha"
]
}
],
[
{
"head": [
"163",
"164",
"PERSON",
"Tim"
],
"tail": [
"13",
"14",
"ORG",
"Kawasaki"
]
}
],
[
{
"head": [
"163",
"164",
"PERSON",
"Tim"
],
"tail": [
"17",
"19",
"LOC",
"Yadkin Valley"
]
}
],
[
{
"head": [
"163",
"164",
"PERSON",
"Tim"
],
"tail": [
"35",
"36",
"GPE",
"Wilkesboro"
]
}
],
[
{
"head": [
"163",
"164",
"PERSON",
"Tim"
],
"tail": [
"38",
"41",
"TIME",
"only 20 minutes"
]
}
],
[
{
"head": [
"163",
"164",
"PERSON",
"Tim"
],
"tail": [
"43",
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"the Blue Ridge Parkway"
]
}
],
[
{
"head": [
"163",
"164",
"PERSON",
"Tim"
],
"tail": [
"54",
"57",
"DATE",
"October, 2017"
]
}
],
[
{
"head": [
"163",
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"PERSON",
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],
"tail": [
"58",
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"DATE",
"almost 20 years"
]
}
],
[
{
"head": [
"163",
"164",
"PERSON",
"Tim"
],
"tail": [
"81",
"84",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"163",
"164",
"PERSON",
"Tim"
],
"tail": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"163",
"164",
"PERSON",
"Tim"
],
"tail": [
"165",
"167",
"PERSON",
"Lynn Quinn"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"7",
"8",
"ORG",
"Honda"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"10",
"11",
"ORG",
"Yamaha"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"13",
"14",
"ORG",
"Kawasaki"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"17",
"19",
"LOC",
"Yadkin Valley"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"35",
"36",
"GPE",
"Wilkesboro"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"38",
"41",
"TIME",
"only 20 minutes"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"43",
"47",
"FAC",
"the Blue Ridge Parkway"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"54",
"57",
"DATE",
"October, 2017"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"58",
"61",
"DATE",
"almost 20 years"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"81",
"84",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
]
}
],
[
{
"head": [
"165",
"167",
"PERSON",
"Lynn Quinn"
],
"tail": [
"163",
"164",
"PERSON",
"Tim"
]
}
]
] | [
"DEALER_OF",
"DEALER_OF",
"DEALER_OF",
"LOCATION_IN\n\nExplanation:\nThe text mentions that Brushy Mountain",
"LOCATED_IN",
"DISTANCE_20_MINUTES",
"\"NEAR\"",
"\"PURCHASED\"",
"OPERATED_FOR\n\nOr, if you prefer a more JSON-like format:\n\n",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{\"label\": \"OWNER_OF\"}]",
"[{\"relation\": \"OWNER_OF\"}]",
"DEALER_OF",
"DEALER_FOR",
"DEALER_OF",
"LOCATION_OF\n\n[{'head': ['7', '8', 'ORG',",
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"DISTANCE_20_MINUTES",
"\"NEAR\"",
"\"OWNED_BY\"",
"OPERATED_FOR\n\n[{'head': ['Honda'], 'tail': ['almost",
"DEALER_OF",
"DEALER_OF",
"[{\"head\": \"Honda\", \"relation\": \"OWNED_BY\", \"tail",
"[{\"relation\": \"OWNER_OF\"}]\n\nThis text mentions that Lyn",
"DEALER_OF",
"DEALER_OF",
"DEALER_OF",
"LOCATION_OF\n\nOr, since the head is a substring of the tail in this",
"LOCATED_IN",
"DISTANCE_20_MINUTES",
"\"NEAR\"",
"\"PRECEDED_BY\"\n\nExplanation:\nThe text mentions that",
"OPERATED_FOR\n\nOr, if you prefer a more JSON-like format:\n{",
"DEALER_OF",
"DEALER_OF",
" [\"DEALER_OF\"]",
"[{\"relation\": \"OWNER_OF\"}]\n\nThis relation indicates that the organization",
"DEALER_OF",
"DEALER_OF",
"DEALER_FOR",
"LOCATION_NEARBY",
"LOCATED_IN",
"DISTANCE_20_MINUTES",
"\"NEAR\"",
"\"OWNED_BY\"",
"OPERATED_FOR\n\nOr, if you prefer a more JSON-like format:\n{",
"DEALER_OF",
"DEALER_OF",
"DEALER_OF",
"\"OWNER\"",
"LOCATED_IN",
"LOCATION_NEARBY\n\nOr, since the entities are provided as lists, the correct",
"LOCATION_NEARBY",
"LOCATION_NEARBY",
"LOCATION_NEARBY",
"DISTANCE_20_MINUTES",
"\"NEAR\"",
"\"PRECEDES\"",
"PRECEDING_EVENT\n\nExplanation:\nThe text mentions that the deal",
"LOCATED_IN",
"LOCATION_IN\n\nExplanation:\nThe text mentions that Brushy Mountain",
"LOCATION_OF\n\n[{'head': ['17', '19', 'LOC",
"LOCATION_OF\n\n[{'head': ['17', '19', 'LOC",
"LOCATED_AT",
"LOCATED_NEAR\n\nExplanation:\nThe text mentions that Brushy",
"LOCATED_NEARBY",
"LOCATED_NEARBY",
"LOCATION_NEARBY",
"DISTANCE_20_MINUTES",
"\"NEAR\"",
"\"PREVIOUS_OWNERSHIP_STARTED\"",
"OPERATED_FOR\n\n[Explanation: The relation \"OPERATED\\_FOR\" indicates",
"LOCATED_AT",
"LOCATED_AT",
"LOCATED_AT",
"LOCATED_AT",
"\"NEARBY\"",
"\"TIME_DIFF\"\n\nThis relation indicates the time difference between the two entities. In",
"\"TIME_DIFF\"",
"\"TIME_DIFFERENCE\"",
"20_MINUTES_FROM_YADKIN_VALLEY",
"DISTANCE_FROM_GPE_IN_MINUTES",
"LOCATION_NEARBY",
"\"NEARBY\"",
"DISTANCE_FROM_20_MINUTES",
"LIVES_NEARBY",
"LOCATED_NEARBY",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"\"NEAR\"",
"\"NEAR\"\n\nExplanation:\nThe text mentions that the dealership is",
"\"NEAR\"\n\nOr, since the entities are represented as strings, the label should be",
"LOCATION_NEARBY",
"LOCATED_NEARBY",
"LOCATED_NEARBY",
"\"LOCATED_NEAR\"",
"\"LOCATED_NEAR\"",
"\"purchased\\_by\"",
"[\"purchased_by\"]",
" [\"PURCHASED_BY\"]",
"[\"purchased\"]",
"[\"PRESENT_AT\"]\n\nExplanation:\nThe text mentions that the",
"LOCATION_CHANGE\n\nExplanation:\nThe text mentions that the dealership was",
"\"purchased\\_by\"",
"\"purchased\\_by\"",
"[\"OWNED_BY\"]",
"[\"OWNED_BY\"]",
"OPERATED_BY",
"OPERATED_BY",
"OPERATED_FOR\n\nThis relation indicates that the head entity (almost 20 years",
"OPERATED_BY",
"OPERATED_IN\n\nThis relation indicates that the head entity (almost 20 years",
"LOCATED_IN",
"OPERATED_BY",
"OPERATED_BY",
"OPERATED_BY",
"OPERATED_BY",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are the same:",
"DEALER_OF",
"DEALER_OF",
"DEALER_OF",
"LOCATION_IN\n\nExplanation:\nThe text mentions that Brushy Mountain",
"LOCATED_IN",
"DISTANCE_20_MINUTES",
"\"NEAR\"",
"\"PRES_OWNER_OF\"",
"OPERATED_FOR\n\nOr, if you prefer a more JSON-like format:\n{",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
" Owner_of\n\n Or, since the entities are represented as strings, the relation would be",
"OWNER\n\nExplanation:\nThe text mentions that \"Tim and Lynn",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are the same:",
"DEALER_OF",
"DEALER_OF",
"DEALER_OF",
"LOCATION_IN\n\nExplanation:\nThe text mentions that Brushy Mountain",
"LOCATED_IN",
"\"IS_NEARBY_IN_MINUTES\"",
"\"NEAR\"",
"\"PRES_OWNER_OF\"",
"OPERATED_FOR\n\nOr, if you prefer a more JSON-like format:\n{",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
" Owner_OF",
" Owner",
" Owner_of\n\n This indicates that Tim is the owner of Brushy Mountain Powers",
"DEALER\n\nExplanation:\nThe text mentions that Tim and Lynn Quinn",
"DEALER_OF",
"DEALER_OF",
"LOCATION_OF\n\n[{'head': ['163', '164',",
"LOCATED_IN",
"\"TIM_QUinn\": {\"RELATION_TYPE\": \"TIME_DIFFERENCE\",",
"\"NEAR\"",
"\"OWNED_BY\"",
"OPERATED_FOR_DURATION",
" Owner_of\n\n This relation indicates that Tim is the owner of Brushy Mountain Pow",
" Owner_of\n\n This relation indicates that Tim is the owner of Brushy Mountain Pow",
"[{\"relation\": \"OWNER_OF\"}]",
" Owner_of\n\n This indicates that Lynn Quinn owns Brushy Mountain Powersports",
"DEALER_OF",
"DEALER_OF",
"DEALER_OF",
"LOCATION_OF\n\n[{'head': 'Lynn Quinn', 'tail': '",
"LOCATED_IN",
"\"TAKES_PLACE_IN_TIME\"",
"\"NEAR\"",
"\"OWNED_BY\"",
"OPERATED_FOR\n\n[{'head': ['165', '167',",
" Owner_of\n\n This indicates that Lynn Quinn owns Brushy Mountain Powersports",
" Owner_of\n\n Explanation:\n In the context, Lynn Quinn is mentioned",
"[{\"relation\": \"OWNER_OF\"}]"
] | [
[
"2",
"5",
"ORG",
"Brushy Mountain Powersports"
],
[
"7",
"8",
"ORG",
"Honda"
],
[
"10",
"11",
"ORG",
"Yamaha"
],
[
"13",
"14",
"ORG",
"Kawasaki"
],
[
"17",
"19",
"LOC",
"Yadkin Valley"
],
[
"35",
"36",
"GPE",
"Wilkesboro"
],
[
"38",
"41",
"TIME",
"only 20 minutes"
],
[
"43",
"47",
"FAC",
"the Blue Ridge Parkway"
],
[
"54",
"57",
"DATE",
"October, 2017"
],
[
"58",
"61",
"DATE",
"almost 20 years"
],
[
"81",
"84",
"ORG",
"Brushy Mountain Powersports"
],
[
"157",
"160",
"ORG",
"Brushy Mountain Powersports"
],
[
"163",
"164",
"PERSON",
"Tim"
],
[
"165",
"167",
"PERSON",
"Lynn Quinn"
]
] | 295 |
297 | [
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"93",
"96",
"ORG",
"Park Day School"
],
"tail": [
"98",
"100",
"PERSON",
"Ron Whittaker"
]
}
],
[
{
"head": [
"93",
"96",
"ORG",
"Park Day School"
],
"tail": [
"107",
"111",
"ORG",
"The Academy of Alameda"
]
}
],
[
{
"head": [
"93",
"96",
"ORG",
"Park Day School"
],
"tail": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
]
}
],
[
{
"head": [
"98",
"100",
"PERSON",
"Ron Whittaker"
],
"tail": [
"2",
"3",
"ORG",
"County"
]
}
],
[
{
"head": [
"98",
"100",
"PERSON",
"Ron Whittaker"
],
"tail": [
"18",
"22",
"DATE",
"June 24, 2022"
]
}
],
[
{
"head": [
"98",
"100",
"PERSON",
"Ron Whittaker"
],
"tail": [
"36",
"40",
"GPE",
"the City of Alameda"
]
}
],
[
{
"head": [
"98",
"100",
"PERSON",
"Ron Whittaker"
],
"tail": [
"50",
"52",
"PERSON",
"Kiki Devoramonifa"
]
}
],
[
{
"head": [
"98",
"100",
"PERSON",
"Ron Whittaker"
],
"tail": [
"56",
"57",
"DATE",
"year"
]
}
],
[
{
"head": [
"98",
"100",
"PERSON",
"Ron Whittaker"
],
"tail": [
"74",
"77",
"PERSON",
"Oral Lee Brown"
]
}
],
[
{
"head": [
"98",
"100",
"PERSON",
"Ron Whittaker"
],
"tail": [
"82",
"84",
"CARDINAL",
"over 135"
]
}
],
[
{
"head": [
"98",
"100",
"PERSON",
"Ron Whittaker"
],
"tail": [
"88",
"90",
"PERSON",
"Michelle McAfee"
]
}
],
[
{
"head": [
"98",
"100",
"PERSON",
"Ron Whittaker"
],
"tail": [
"93",
"96",
"ORG",
"Park Day School"
]
}
],
[
{
"head": [
"98",
"100",
"PERSON",
"Ron Whittaker"
],
"tail": [
"107",
"111",
"ORG",
"The Academy of Alameda"
]
}
],
[
{
"head": [
"98",
"100",
"PERSON",
"Ron Whittaker"
],
"tail": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
]
}
],
[
{
"head": [
"107",
"111",
"ORG",
"The Academy of Alameda"
],
"tail": [
"2",
"3",
"ORG",
"County"
]
}
],
[
{
"head": [
"107",
"111",
"ORG",
"The Academy of Alameda"
],
"tail": [
"18",
"22",
"DATE",
"June 24, 2022"
]
}
],
[
{
"head": [
"107",
"111",
"ORG",
"The Academy of Alameda"
],
"tail": [
"36",
"40",
"GPE",
"the City of Alameda"
]
}
],
[
{
"head": [
"107",
"111",
"ORG",
"The Academy of Alameda"
],
"tail": [
"50",
"52",
"PERSON",
"Kiki Devoramonifa"
]
}
],
[
{
"head": [
"107",
"111",
"ORG",
"The Academy of Alameda"
],
"tail": [
"56",
"57",
"DATE",
"year"
]
}
],
[
{
"head": [
"107",
"111",
"ORG",
"The Academy of Alameda"
],
"tail": [
"74",
"77",
"PERSON",
"Oral Lee Brown"
]
}
],
[
{
"head": [
"107",
"111",
"ORG",
"The Academy of Alameda"
],
"tail": [
"82",
"84",
"CARDINAL",
"over 135"
]
}
],
[
{
"head": [
"107",
"111",
"ORG",
"The Academy of Alameda"
],
"tail": [
"88",
"90",
"PERSON",
"Michelle McAfee"
]
}
],
[
{
"head": [
"107",
"111",
"ORG",
"The Academy of Alameda"
],
"tail": [
"93",
"96",
"ORG",
"Park Day School"
]
}
],
[
{
"head": [
"107",
"111",
"ORG",
"The Academy of Alameda"
],
"tail": [
"98",
"100",
"PERSON",
"Ron Whittaker"
]
}
],
[
{
"head": [
"107",
"111",
"ORG",
"The Academy of Alameda"
],
"tail": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
]
}
],
[
{
"head": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
],
"tail": [
"2",
"3",
"ORG",
"County"
]
}
],
[
{
"head": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
],
"tail": [
"18",
"22",
"DATE",
"June 24, 2022"
]
}
],
[
{
"head": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
],
"tail": [
"36",
"40",
"GPE",
"the City of Alameda"
]
}
],
[
{
"head": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
],
"tail": [
"50",
"52",
"PERSON",
"Kiki Devoramonifa"
]
}
],
[
{
"head": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
],
"tail": [
"56",
"57",
"DATE",
"year"
]
}
],
[
{
"head": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
],
"tail": [
"74",
"77",
"PERSON",
"Oral Lee Brown"
]
}
],
[
{
"head": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
],
"tail": [
"82",
"84",
"CARDINAL",
"over 135"
]
}
],
[
{
"head": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
],
"tail": [
"88",
"90",
"PERSON",
"Michelle McAfee"
]
}
],
[
{
"head": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
],
"tail": [
"93",
"96",
"ORG",
"Park Day School"
]
}
],
[
{
"head": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
],
"tail": [
"98",
"100",
"PERSON",
"Ron Whittaker"
]
}
],
[
{
"head": [
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
],
"tail": [
"107",
"111",
"ORG",
"The Academy of Alameda"
]
}
]
] | [
"[\"LIFTED_MASK_MANDATE\"]",
"[{\"relation\": \"ADMIN_OF\"}]\n\nExplanation:\nThe text",
"[\"MODERATES\"]",
"[\"LIFTED_ON\"]",
"[\"REALTOR_FOR\"]\n\nExplanation:\nIn the context provided,",
"[\"HELP_EDUCATION\"]",
"[\"EDUCATOR_OF\"]",
"[\"EDUCATOR_OF\"]\n\nExplanation:\nIn the context, Michelle Mc",
"[{\"relation\": \"SPONSOR\"}]\n\nOr, if you prefer a more",
" sponsor\n\n[{'head': ['2', '3', 'ORG', 'Count",
" sponsor\n\n[{'head': ['2', '3', 'ORG', 'Count",
"[\"INDATE_OF_LIFTING\", \"June 24, 20",
" [\"DATE_OF_EVENT\", \"EVENT_SPONSOR\"]",
"[\"RETURNS\"]",
"[{\"relation\": \"HELPED\"}]",
"[{\"relation\": \"PANELIST_OF\"}]\n\nOr, if you prefer",
"[{\"relation\": \"PART_OF\"}]\n\nThis relation indicates that Park Day School is",
"[{\"relation\": \"SPEAKS_AT\"}]\n\nOr, if you prefer a",
"[\"SPONSOR\"]",
" sponsor\n\n[{'head': ['18', '22', 'DATE', '",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that the City of",
"[\"RECOMMENDATION_DATE\"]",
"[\"SPONSOR\"]",
"[\"CONTINUES_AFTER\", \"the City of Alaleda\", \"this event\"]",
"[\"SPONSOR\"]",
"[\"HELP_EDUCATION\"]",
"[\"SPONSOR\"]",
"[\"SPONSOR\"]",
" sponsor_of",
" sponsor\n\n[{'head': ['36', '40', 'GPE',",
" sponsor\n\n[{'head': ['36', '40', 'GPE',",
"[{\"relation\": \"MODERATES_EVENT_OF\"}]\n\nOr, if",
"RETURN: START_DATE",
"\"MODERATES_AT\"\n\nOr, if you prefer a more generic label:",
"[\"MODERATES_EVENT\", \"NO_RELATION\"]\n\n[{'head':",
"[\"MODERATES\"]\n\n[{'head': ['50', '52',",
"[\"HELP_EDUCATION\"]",
"[\"MODERATOR_OF\"]",
"[\"MODERATOR_OF\"]",
"[\"MODERATES\"]",
"[\"MODERATES\"]\n\nThis relation indicates that Kiki Devoramonifa moderates",
" sponsor\n\n[{'head': ['50', '52', 'PERSON',",
"[\"LIFTED_MASK_MANDATE\", \"DATE\", \"County\"]\n\nOr",
"[\"RECOMMENDS\"]",
"RETURN: RETURNS\n\nExplanation:\nIn the context provided, \"Kiki",
"[\"HELP_EDUCATION\"]",
"[{\"relation\": \"SPEAKS_AT\"}]\n\nExplanation:\nIn",
"[\"PANELIST_OF\"]",
"[{\"relation\": \"SPONSOR\"}]\n\nOr, if you prefer a more",
" sponsor\n\n[{'head': ['56', '57', 'DATE', '",
" sponsor\n\n[{'head': ['56', '57', 'DATE', '",
"[\"HELPED_BY\"]\n\nExplanation:\nThe text mentions that O",
"[\"HELP_DATE\"]",
"\"LIVED_IN\"\nor\n\"WORKED_IN\" (assuming Oral",
"[\"MODERATES\"]",
"[\"HELP_EDUCATION_DATE\"]\n\nExplanation:\nThe relation \"",
"[\"HELP_EDUCATION\"]",
"[{\"relation\": \"PANELIST_OF\"}]\n\nOr, if you prefer",
"[\"EDUCATOR_OF\"]\n\nExplanation:\nIn the context provided, O",
"[{\"relation\": \"HELPED_BY\"}]\n\nThis relation indicates that Oral",
"\"REALTOR_OF\"\n\nOr, if using a more generic label:\n",
" sponsor\n\n[{'head': 'Oral Lee Brown', 'tail': 'Friends",
"[\"HELPED_BY\"]",
"[\"HELP_EDUCATION_INSTITUTION\"]\n\nExplanation:\n",
"HELPED_BY",
"[\"HELPED_BY\"]",
"[{\"relation\": \"HELPED\"}]",
"[\"HELPED_BY\"]",
"[{\"relation\": \"HELPED\"}]",
"[\"HELPED_BY\"]",
" sponsor\n\n[{'head': ['over 135', 'CARDINAL",
"[{\"relation\": \"SPONSOR\"}]\n\n[{\"relation\": \"EDUC",
"NO_RELATION",
"\"LOCATED_IN\"",
"[\"MODERATES\"]",
"[{\"relation\": \"MODIFIER_OF\", \"head_label\": \"PERSON\",",
"[\"PANELIST_OF\"]",
"[\"HELP_EDUCATION\"]",
"\"EDUCATOR_OF\"",
"[{\"relation\": \"PANELIST_OF\"}]\n\nThis relation indicates that Michelle",
"\"EDUCATOR_OF\"",
"[\"SPONSOR\"]",
"[{\"relation\": \"LOCATED_IN\"}]\n\nOr, if you prefer a more",
"[{\"relation\": \"EVENT_DATE\"}]\n\nOr, if you prefer a more human",
"LOCATION_OF\n\n[{'head': ['36', '40', 'G",
"[\"MODERATOR_OF\"]",
"[{\"relation\": \"EVENT_DATE\"}]\n\nThis relation indicates that the event (P",
"[\"REALTOR_OF\"]\n\nExplanation:\nIn the context provided,",
"[\"HELP_EDUCATION\"]",
"\"EDUCATOR_OF\"",
"[{\"relation\": \"MEMBER_OF\"}]\n\nThis relation indicates that Ron Whitt",
"[\"SPONSOR\"]",
"[\"SPONSOR\"]",
"[{\"relation\": \"SPONSOR_OF\"}]\n\nThis relation indicates that the",
"\"SPONSORED_BY\"",
"\"FOUNDING_MEMBER_OF\"\n\nor\n\n\"ASSOCIATED",
"[\"MODERATES\"]",
"[{\"relation\": \"MODIFIES\"}]\n\nThis relation represents that the year modifies",
"[{\"relation\": \"HAS_HELPED_WITH_COLLEGE_ATTEND",
"[\"HELP_ED\"]",
"[{\"relation\": \"MODIFIER_OF\"}]\n\nExplanation:\nIn",
"[{\"relation\": \"EMPLOYED_BY\"}]\n\nOr, if you prefer",
"\"FOUNDER\"\nor\n\"MEMBER\"\n\n(Note: The text does",
"[\"SPONSOR\"]",
"[{\"relation\": \"SPONSOR_OF\"}]\n\nThis relation indicates that \"",
"EVENT_DATE",
"[\"SPONSOR\"]",
"[\"MODERATOR_OF\"]",
"[\"SPONSOR\"]",
"[{\"relation\": \"ORG_MEMBER_OF\", \"head\": \"The Academy of",
"[\"HELP_EDUCATION\"]",
"[\"SPONSOR\"]",
"[\"PANEL_MEMBER_OF\"]\n\nExplanation:\nThe text ment",
"[{\"relation\": \"FOUNDING_MEMBER\"}]",
"[\"SPONSOR\"]",
" sponsor\n\n[{'head': ['117', '123', 'OR",
" sponsors_event",
" sponsor_of\n\nExplanation:\nThe text mentions that \"Friends of",
" sponsors\n\n[{'head': ['50', '52', 'PERSON',",
" sponsors\n\n[{'head': ['56', '57', 'DATE', '",
"[\"SPONSOR\"]",
"[\"HAS_HELPED\"]",
"[\"SPONSOR\"]",
"[\"SPONSOR\"]",
"[\"SPONSOR\"]",
" sponsor\n\n[{'head': ['117', '123', 'OR"
] | [
[
"2",
"3",
"ORG",
"County"
],
[
"18",
"22",
"DATE",
"June 24, 2022"
],
[
"36",
"40",
"GPE",
"the City of Alameda"
],
[
"50",
"52",
"PERSON",
"Kiki Devoramonifa"
],
[
"56",
"57",
"DATE",
"year"
],
[
"74",
"77",
"PERSON",
"Oral Lee Brown"
],
[
"82",
"84",
"CARDINAL",
"over 135"
],
[
"88",
"90",
"PERSON",
"Michelle McAfee"
],
[
"93",
"96",
"ORG",
"Park Day School"
],
[
"98",
"100",
"PERSON",
"Ron Whittaker"
],
[
"107",
"111",
"ORG",
"The Academy of Alameda"
],
[
"117",
"123",
"ORG",
"Friends of the Alameda Free Library"
]
] | 296 |
298 | [
"Nuns Have No Fun 1982 Limited Edition T-Shirt Women\nMercyful Fate band Licensed Merchandise\n100% Cotton T-Shirt\nDanish heavy metal band Mercyful Fate formed in 1981 by vocalist King Diamond and guitarist Hank Shermann. Mercyful Fate won a large cult following thanks to their dramatic lyrics, showing a Gothic obsession with evil and the occult, and Diamond's amazing vocal range, which shifted from a low growl to a banshee scream. Influenced by progressive rock and hard rock, and with lyrics dealing with Satan and the occult, Mercyful Fate were part of the first wave of black metal of the 1980s.\ntop of page\nbottom of page"
] | [
[
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"T",
"-",
"Shirt",
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"\n",
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"\n",
"100",
"%",
"Cotton",
"T",
"-",
"Shirt",
"\n",
"Danish",
"heavy",
"metal",
"band",
"Mercyful",
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"formed",
"in",
"1981",
"by",
"vocalist",
"King",
"Diamond",
"and",
"guitarist",
"Hank",
"Shermann",
".",
"Mercyful",
"Fate",
"won",
"a",
"large",
"cult",
"following",
"thanks",
"to",
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"dramatic",
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",",
"showing",
"a",
"Gothic",
"obsession",
"with",
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"and",
"the",
"occult",
",",
"and",
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"which",
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"growl",
"to",
"a",
"banshee",
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"by",
"progressive",
"rock",
"and",
"hard",
"rock",
",",
"and",
"with",
"lyrics",
"dealing",
"with",
"Satan",
"and",
"the",
"occult",
",",
"Mercyful",
"Fate",
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"part",
"of",
"the",
"first",
"wave",
"of",
"black",
"metal",
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"the",
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".",
"\n",
"top",
"of",
"page",
"\n",
"bottom",
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"page"
]
] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
["Nuns Have No Fun 1982 Limited Edition T-Shirt Women\nMercyful Fate band Licensed Merchandise\n100% Cotton T-Shirt\nDanish heavy metal band Mercyful Fate formed in 1981 by vocalist King Diamond and guitarist Hank Shermann. Mercyful Fate won a large cult following thanks to their dramatic lyrics, showing a Gothic obsession with evil and the occult, and Diamond's amazing vocal range, which shifted from a low growl to a banshee scream. Influenced by progressive rock and hard rock, and with lyrics dealing with Satan and the occult, Mercyful Fate were part of the first wave of black metal of the 1980s.\ntop of page\nbottom of page"]
Entities:
[{'head': ['0', '4', 'ORG', 'Nuns Have No Fun'], 'tail': ['4', '5', 'DATE', '1982']}]
Relation:
[/INST]
| [
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"4",
"5",
"DATE",
"1982"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"12",
"14",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"15",
"17",
"ORG",
"Licensed Merchandise"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"18",
"20",
"PERCENT",
"100%"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"25",
"26",
"NORP",
"Danish"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"29",
"31",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"33",
"34",
"DATE",
"1981"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"36",
"38",
"PERSON",
"King Diamond"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"40",
"42",
"PERSON",
"Hank Shermann"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"43",
"45",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"58",
"59",
"NORP",
"Gothic"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"67",
"68",
"PERSON",
"Diamond"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"102",
"104",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"108",
"109",
"ORDINAL",
"first"
]
}
],
[
{
"head": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
],
"tail": [
"114",
"116",
"DATE",
"the 1980s"
]
}
],
[
{
"head": [
"4",
"5",
"DATE",
"1982"
],
"tail": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
]
}
],
[
{
"head": [
"4",
"5",
"DATE",
"1982"
],
"tail": [
"12",
"14",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"4",
"5",
"DATE",
"1982"
],
"tail": [
"15",
"17",
"ORG",
"Licensed Merchandise"
]
}
],
[
{
"head": [
"4",
"5",
"DATE",
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}
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"45",
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}
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[
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[
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}
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[
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}
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[
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"tail": [
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}
],
[
{
"head": [
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"45",
"ORG",
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"34",
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}
],
[
{
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"Mercyful Fate"
],
"tail": [
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"38",
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}
],
[
{
"head": [
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],
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}
],
[
{
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"45",
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}
],
[
{
"head": [
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"45",
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"Mercyful Fate"
],
"tail": [
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"68",
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}
],
[
{
"head": [
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"45",
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"Mercyful Fate"
],
"tail": [
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"104",
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"Mercyful Fate"
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}
],
[
{
"head": [
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"45",
"ORG",
"Mercyful Fate"
],
"tail": [
"108",
"109",
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]
}
],
[
{
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"116",
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}
],
[
{
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]
}
],
[
{
"head": [
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],
"tail": [
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]
}
],
[
{
"head": [
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"Gothic"
],
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]
}
],
[
{
"head": [
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"59",
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"Gothic"
],
"tail": [
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]
}
],
[
{
"head": [
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"Gothic"
],
"tail": [
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]
}
],
[
{
"head": [
"58",
"59",
"NORP",
"Gothic"
],
"tail": [
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]
}
],
[
{
"head": [
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"59",
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"Gothic"
],
"tail": [
"43",
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"Mercyful Fate"
]
}
],
[
{
"head": [
"58",
"59",
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"Gothic"
],
"tail": [
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]
}
],
[
{
"head": [
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],
"tail": [
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]
}
],
[
{
"head": [
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],
"tail": [
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]
}
],
[
{
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"68",
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],
"tail": [
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"5",
"DATE",
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]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"12",
"14",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"15",
"17",
"ORG",
"Licensed Merchandise"
]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"18",
"20",
"PERCENT",
"100%"
]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"25",
"26",
"NORP",
"Danish"
]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"29",
"31",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"33",
"34",
"DATE",
"1981"
]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"36",
"38",
"PERSON",
"King Diamond"
]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"40",
"42",
"PERSON",
"Hank Shermann"
]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"43",
"45",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"58",
"59",
"NORP",
"Gothic"
]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"102",
"104",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"108",
"109",
"ORDINAL",
"first"
]
}
],
[
{
"head": [
"67",
"68",
"PERSON",
"Diamond"
],
"tail": [
"114",
"116",
"DATE",
"the 1980s"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"4",
"5",
"DATE",
"1982"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"12",
"14",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"15",
"17",
"ORG",
"Licensed Merchandise"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"18",
"20",
"PERCENT",
"100%"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"25",
"26",
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"Danish"
]
}
],
[
{
"head": [
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"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"29",
"31",
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"Mercyful Fate"
]
}
],
[
{
"head": [
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"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"33",
"34",
"DATE",
"1981"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"36",
"38",
"PERSON",
"King Diamond"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"40",
"42",
"PERSON",
"Hank Shermann"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"43",
"45",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"58",
"59",
"NORP",
"Gothic"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"67",
"68",
"PERSON",
"Diamond"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"108",
"109",
"ORDINAL",
"first"
]
}
],
[
{
"head": [
"102",
"104",
"ORG",
"Mercyful Fate"
],
"tail": [
"114",
"116",
"DATE",
"the 1980s"
]
}
],
[
{
"head": [
"108",
"109",
"ORDINAL",
"first"
],
"tail": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
]
}
],
[
{
"head": [
"108",
"109",
"ORDINAL",
"first"
],
"tail": [
"12",
"14",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"108",
"109",
"ORDINAL",
"first"
],
"tail": [
"15",
"17",
"ORG",
"Licensed Merchandise"
]
}
],
[
{
"head": [
"108",
"109",
"ORDINAL",
"first"
],
"tail": [
"29",
"31",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"108",
"109",
"ORDINAL",
"first"
],
"tail": [
"36",
"38",
"PERSON",
"King Diamond"
]
}
],
[
{
"head": [
"108",
"109",
"ORDINAL",
"first"
],
"tail": [
"40",
"42",
"PERSON",
"Hank Shermann"
]
}
],
[
{
"head": [
"108",
"109",
"ORDINAL",
"first"
],
"tail": [
"43",
"45",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"108",
"109",
"ORDINAL",
"first"
],
"tail": [
"67",
"68",
"PERSON",
"Diamond"
]
}
],
[
{
"head": [
"108",
"109",
"ORDINAL",
"first"
],
"tail": [
"102",
"104",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"114",
"116",
"DATE",
"the 1980s"
],
"tail": [
"0",
"4",
"ORG",
"Nuns Have No Fun"
]
}
],
[
{
"head": [
"114",
"116",
"DATE",
"the 1980s"
],
"tail": [
"12",
"14",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"114",
"116",
"DATE",
"the 1980s"
],
"tail": [
"15",
"17",
"ORG",
"Licensed Merchandise"
]
}
],
[
{
"head": [
"114",
"116",
"DATE",
"the 1980s"
],
"tail": [
"29",
"31",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"114",
"116",
"DATE",
"the 1980s"
],
"tail": [
"36",
"38",
"PERSON",
"King Diamond"
]
}
],
[
{
"head": [
"114",
"116",
"DATE",
"the 1980s"
],
"tail": [
"40",
"42",
"PERSON",
"Hank Shermann"
]
}
],
[
{
"head": [
"114",
"116",
"DATE",
"the 1980s"
],
"tail": [
"43",
"45",
"ORG",
"Mercyful Fate"
]
}
],
[
{
"head": [
"114",
"116",
"DATE",
"the 1980s"
],
"tail": [
"67",
"68",
"PERSON",
"Diamond"
]
}
],
[
{
"head": [
"114",
"116",
"DATE",
"the 1980s"
],
"tail": [
"102",
"104",
"ORG",
"Mercyful Fate"
]
}
]
] | [
"[{\"relation\": \"MANUFACTURED_IN_YEAR\"}]\n\n",
"[{\"label\": \"ORG_HAS_MEMBER_OF\", \"head\": \"0",
"[{\"label\": \"MANUFACTURER_OF\"}]\n\nThis relation indicates",
"NO_RELATION.",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"N",
"[{\"label\": \"ORG_MANUFACTURER\"}]\n\nExplan",
"[{\"head\": \"0\", \"tail\": \"33\", \"label\": \"PRECE",
"[{\"head\": \"0\", \"4\", \"ORG\", \"Nuns Have No Fun",
"FORMER_MEMBER",
"[{\"label\": \"ORG_MEMBER_OF\"}]\n\nThis relation indicates that",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"HEAD_OF_ORGANIZATION\"}]\n\nOr,",
"[{\"label\": \"ORG_MANUFACTURER\"}]\n\nExplan",
"NO_RELATION.\n\nEntities refer to different concepts in the text, and there is no",
"PART_OF\n\nExplanation:\nThe text mentions that Mercyful Fate",
"[{\"relation\": \"MANUFACTURED\"}]\n\nExplanation:\n",
"Produced_By\n\nOr, if you prefer a more JSON-like format:\n{",
"[{\"relation\": \"MANUFACTURED_BY\"}]\n\nThis relation indicates",
"FORMED_IN_YEAR",
"FORMED_BY",
"FORMED_BY",
"\"PRODUCED\"\n\nThis relation indicates that the entity with the date (19",
"FORMed_BY",
"[{\"relation\": \"MANUFACTURED_IN_YEAR\"}]\n\n",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"Mer",
"[{\"relation\": \"FORMED_IN\"}]\n\nThis relation indicates that Mercyful",
" [\"LICENSOR_MANUFACTURER\"]",
"NO_RELATION",
"[{\"relation\": \"nsubjmod:pass:ORG-NORP\"}]",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"FORMed_IN\n\n[Explanation: The relation \"FORMed\\_IN\" indicates",
"[{\"relation\": \"FORMED_BY\"}]\n\nThis relation indicates that Mercyful",
"FORMER_MEMBER",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"INFLUENCED_BY\n\nExplanation:\nThe text mentions that Mer",
"[{\"relation\": \"FORMED_BY\"}]\n\nThis relation indicates that Mercyful",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"[{\"relation\": \"formed_in_year\", \"head\": \"Mercyful F",
"PART_OF\n\nExplanation:\nThe entity \"Mercyful Fate\" is",
"[{\"label\": \"MANUFACTURER_OF\", \"head\": \"Lic",
"Produced_In_Year",
"licensed_merchandise_of\n\nExplanation:\nThe text describes how",
"MANUFACTURED_BY\n\n[{'head': ['15', '1",
"[{\"relation\": \"ORIGIN_FROM\"}]\n\nThis relation indicates that the Licensed",
"licensed_merchandise_of\n\nExplanation:\nThe relation label \"",
"[{\"relation\": \"MANUFACTURED_IN_YEAR\"}]\n\n",
"SINGER_OF\n\nThis means that King Diamond is the singer of Licensed Merchandise",
"[{\"relation\": \"MANUFACTURER_OF\"}]\n\nThis relation indicates",
"licensed_merchandise_of\n\nExplanation:\nThe relation label \"",
"[\"PRODUCES_GOODS_WITH_THEME\"]",
"[\"LICENSOR_OF\"]",
"licensed_merchandise_of\n\nExplanation:\nThe text mentions",
"[{\"relation\": \"manufacturer_of\", \"head\": \"Licensed Merch",
"PART_OF\n\nExplanation:\nThe given text mentions that Mercyful F",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"N",
"MANUFACTURED_BY",
"MANUFACTURER_OF\n\nExplanation:\nThe text mentions that",
"MANUFACTURED_BY",
"FORMED_BY",
"FORMER_MEMBER",
"MANUFACTURED_BY",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"MANUFACTURED_BY",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"Dan",
"FORMed_BY",
"[\"PRODUCES\"]\n\nExplanation:\nThe context mentions that Mercy",
"FORMed_BY",
"FORMed_BY",
"FORMER_MEMBER",
"FORMed_BY",
"[{\"relation\": \"FORMED_BY\"}]\n\nThis relation indicates that the Danish",
"FORMED_BY",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"Mer",
"[{\"relation\": \"FORMED_IN\"}]\n\nThis relation indicates that Mercyful",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"[\"LICENSOR_MANUFACTURER\"]",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"Mer",
"[{\"relation\": \"nationality_of\"}]\n\nThis relation indicates that Mercy",
"FORMed_IN\n\n[{'head': ['29', '31', 'OR",
"[{\"relation\": \"FORMED_BY\"}]\n\nThis relation indicates that Mercyful",
"FORMed_BY",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"INFLUENCED_BY\n\nExplanation:\nThe text mentions that Mer",
"[{\"relation\": \"FORMED_BY\"}]\n\nThis relation indicates that Mercyful",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"[{\"relation\": \"formed_in_year\", \"head\": \"Mercyful F",
"PART_OF\n\nExplanation:\nThe text mentions that Mercyful Fate",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"N",
"FORMED_IN\n\nThis relation indicates that the head entity (the date 198",
"[{\"relation\": \"MANUFACTURED_BY\"}]\n\nThis relation indicates",
"FORMED_IN\n\nThis relation indicates that the head entity (the date 198",
"FORMED_BY",
"FORMED_BY",
"FORMED_IN\n\nThis relation indicates that the head entity (the date 198",
"FORMED_BY",
"FORMED_IN\n\nThis relation indicates that the head entity (the date 198",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"N",
"[{\"relation\": \"PREEXISTED_IN\"}]\n\nThis relation indicates that King",
"FORMER_MEMBER\n\nThis relation indicates that King Diamond was a member of Mercyful",
"[\"LICENSOR\"]",
"NO_RELATION",
"[{\"head\": \"King Diamond\", \"relation\": \"FROM\", \"tail\": \"Danish",
"FORMER_MEMBER\n\nThis relation indicates that King Diamond was a member of Mercyful",
"FORMED_IN",
"[{\"head\": \"King Diamond\", \"relation\": \"FORMED\", \"tail\": \"H",
"FORMED_BY",
"[\"INFLUENCED_BY\"]\n\nExplanation:\nThe text mentions",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"FORMER_MEMBER\n\nThis relation indicates that King Diamond was a member of Mercyful",
"FORMed_in_Year\n\nEntities: [{'head': ['36', '3",
"PART_OF\n\nExplanation:\nThe relation between King Diamond and the first wave of",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"N",
"[{\"relation\": \"MANUFACTURED_IN_YEAR\"}]\n\n",
"FORMER_MEMBER",
" [\"PRODUCES\"]\n\n Explanation:\n In the context provided, Hank",
"NO_RELATION.\n\nEntities refer to different concepts in the text, and there is no",
"[{\"head\": \"Hank Shermann\", \"tail\": \"Danish\", \"relation\":",
"FORMER_MEMBER",
"FORMED_IN",
"FORMED_BY",
"FORMER_MEMBER",
"[{\"relation\": \"INFLUENCED_BY\"}]\n\nExplanation:",
"[{\"head\": \"Hank Shermann\", \"tail\": \"Diamond\", \"label",
"FORMED_MEMBER_OF",
"[{\"head\": \"Hank Shermann\", \"tail\": \"Mercyful Fate (",
"PART_OF\n\nExplanation:\nThe relation \"PART_OF\" is used when",
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"[{\"relation\": \"FORMED_BY\"}]\n\nThis relation indicates that Mercyful",
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"[{\"relation\": \"SELF_REFERENCE\"}]\n\nOr, since the text",
"[{\"relation\": \"formed_in_year\", \"head\": \"Mercyful F",
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[
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[
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]
] | 297 |
299 | [
"David Murcia Guzman, the architect of Colombia’s biggest pyramid scheme, was found guilty of money-laundering and illicit enrichment on Wednesday in a Bogotá courthouse. The conviction could carry a sentence of 12 to 15 years in prison.\nThe scheme, carried out under the name DMG holdings collected as much as $4.8 billion in investments. When Guzman was apprehended in Panama last November and it was revealed that as many as 500,000 investors had lost their money, riots ensued across the country. Many of Guzman’s victims are seeking financial redress.\nMurcia Guzman’s attorney, Gustavo Salazar, contended that the prosecution of his client was a “buffoonery” of the Colombian government."
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] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['David Murcia Guzman, the architect of Colombia’s biggest pyramid scheme, was found guilty of money-laundering and illicit enrichment on Wednesday in a Bogotá courthouse. The conviction could carry a sentence of 12 to 15 years in prison.\nThe scheme, carried out under the name DMG holdings collected as much as $4.8 billion in investments. When Guzman was apprehended in Panama last November and it was revealed that as many as 500,000 investors had lost their money, riots ensued across the country. Many of Guzman’s victims are seeking financial redress.\nMurcia Guzman’s attorney, Gustavo Salazar, contended that the prosecution of his client was a “buffoonery” of the Colombian government.']
Entities:
[{'head': ['0', '3', 'PERSON', 'David Murcia Guzman'], 'tail': ['7', '8', 'GPE', 'Colombia']}]
Relation:
[/INST]
| [
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{
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}
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[
{
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}
],
[
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}
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}
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[
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}
],
[
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}
],
[
{
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[
{
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{
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[
{
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}
],
[
{
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{
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],
"tail": [
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}
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[
{
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}
],
[
{
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}
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}
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[
{
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}
],
[
{
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}
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[
{
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{
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{
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}
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[
{
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}
],
[
{
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}
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[
{
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}
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}
],
[
{
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}
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[
{
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],
[
{
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}
],
[
{
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}
],
[
{
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"112",
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}
],
[
{
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}
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{
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[
{
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}
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}
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{
"head": [
"110",
"112",
"PERSON",
"Gustavo Salazar"
],
"tail": [
"127",
"128",
"NORP",
"Colombian"
]
}
],
[
{
"head": [
"127",
"128",
"NORP",
"Colombian"
],
"tail": [
"0",
"3",
"PERSON",
"David Murcia Guzman"
]
}
],
[
{
"head": [
"127",
"128",
"NORP",
"Colombian"
],
"tail": [
"7",
"8",
"GPE",
"Colombia"
]
}
],
[
{
"head": [
"127",
"128",
"NORP",
"Colombian"
],
"tail": [
"27",
"28",
"GPE",
"Bogotá"
]
}
],
[
{
"head": [
"127",
"128",
"NORP",
"Colombian"
],
"tail": [
"53",
"54",
"ORG",
"DMG"
]
}
],
[
{
"head": [
"127",
"128",
"NORP",
"Colombian"
],
"tail": [
"66",
"67",
"PERSON",
"Guzman"
]
}
],
[
{
"head": [
"127",
"128",
"NORP",
"Colombian"
],
"tail": [
"70",
"71",
"GPE",
"Panama"
]
}
],
[
{
"head": [
"127",
"128",
"NORP",
"Colombian"
],
"tail": [
"96",
"97",
"PERSON",
"Guzman"
]
}
],
[
{
"head": [
"127",
"128",
"NORP",
"Colombian"
],
"tail": [
"105",
"108",
"PERSON",
"Murcia Guzman’s"
]
}
],
[
{
"head": [
"127",
"128",
"NORP",
"Colombian"
],
"tail": [
"110",
"112",
"PERSON",
"Gustavo Salazar"
]
}
]
] | [
"[{\"relation\": \"RESIDES_IN\"}]\n\n# Explanation:\n",
"[{\"label\": \"GUILTY_VERDICT_ON_DATE\"}]\n\n",
"[{'relation': 'LOCATION_OF_EVENT'}]",
"\"PUNISHMENT\"\n\nOr, if you prefer a more explicit label:\n\n",
"[{\"head\": \"David Murcia Guzman\", \"tail\": \"DMG holdings",
"\"COLLECTED_MONEY\"",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{'relation': 'ARRESTED_IN'}]\n\nThis relation indicates that David",
"[{'relation': 'PRECEDES'}]\n\nThis relation indicates that the event of",
"\"AFFECTED_BY\"\n\nor\n\n\"HAS_NUMBER_OF_",
"[{\"relation\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{\"label\": \"SELF_REFERENCE\"}]\n\n# Explanation:",
"[{\"relation\": \"ATTORNEY_OF\"}]\n\nOr, if you prefer",
"\"GOVERNMENT_OF\"\n\nExplanation:\nThe text states that \"",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis text describes an event",
"[{\"relation\": \"OCCURRED_ON\"}]",
"LOCATION_OF\n\n[Explanation: The text states that Guzman was found",
"Sentence: \"The conviction could carry a sentence of 12 to 15 years in",
"[{\"relation\": \"LOCATION_OF_ORGANIZATION\"}]\n\nOr",
"COLLECTED_FROM",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis text describes an event",
"[\"LOCATION_OF\", \"COLUMBIA\", \"LOCATION_FROM\", \"P",
"NO_RELATION",
" [\"NUM_MORE_THAN\", \"Colombia\", \"investors\"]",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis text describes an event",
"\"COUNTRY_OF_ORIGIN\"\n\nExplanation:\nThe text",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"LOCATION_OF\", \"head\": \"Colombia\", \"tail",
"[{\"relation\": \"FOUND_GUILTY_ON_DATE\"}]\n\nOr",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nOr, if you prefer",
"[{\"relation\": \"GUILTY_OF_CRIME_AT_ORGANIZ",
"[{\"label\": \"GUILTY_OF\", \"head\": \"24,25",
"[\"ARRESTED_AT\"]",
"[{\"label\": \"GUILTY_OF\", \"head\": \"Wednesday\", \"",
"[{\"label\": \"GUILTY_OF\", \"head\": \"Wednesday\", \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"LOCATION_OF\n\nExplanation:\nThe text mentions that the conviction took place",
"[{\"relation\": \"OCCURRED_ON\"}]",
"\"PUNISHMENT_WITH_TIME_SERVED\"\nor\n\"SENTENCE",
"LOCATION_OF\n\nExplanation:\nThe text mentions that Guzman was",
"COLLECTED_MONEY_FROM",
"\"LOCATION_OF_EVENT\"",
"[\"LOCATION_OF\", \"Bogotá\", \"authorities\"]\n[\"LOCATION",
"When_head_in_month_tail",
" [\"NUM_MORE_THAN\", \"Bogotá\", \"5000",
"\"LOCATION_OF_EVENT\"",
"\"LOCATION_OF_EVENT\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"LOCATION_OF_EVENT\n\nExplanation:\nThe text describes an event taking place",
"\"SENTENCE\"",
"\"GOVERNMENT_OF_COLOMBIA_IMPOSING_SENTENCE",
"Sentence: \"The conviction could carry a sentence of 12 to 15 years in",
"Sentence: \"The conviction could carry a sentence of 12 to 15 years in",
"Sentence: \"The conviction could carry a sentence of 12 to 15 years in",
"[{\"sentence\": \"David Murcia Guzman was found guilty in a Bogotá",
"Sentence: \"The conviction could carry a sentence of 12 to 15 years in",
"\"SENTENCE\"\n\nThis relation indicates that the head entity (the sentence of 1",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"label\": \"ORG_MEMBER\"}]\n\nThis relation indicates that David Mur",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"[{\"relation\": \"FOUND_ON\"}]\n\nOr, if you prefer a more",
"LOCATION_OF_EVENT",
"\"PUNISHMENT\"\n\nor\n\n\"SENTENCE\"",
"COLLECTED_MONEY_WITH_AMOUNT",
"[{\"label\": \"ORGANIZED_BY\"}]\n\nThis relation indicates that",
"[{'relation': 'ARRESTED_IN'}]\n\nExplanation:\n",
"[{\"relation\": \"PRECEDES\"}]\n\nThis relation indicates that the event represented",
"[\"COLLECTED_FROM\"]\n\nExplanation:\nThe text states that \"DM",
"[{\"label\": \"ORGANIZED_BY\"}]\n\nThis relation indicates that",
"[{\"label\": \"ORGANIZED_BY\"}]\n\nThis relation indicates that",
"[\"DEFENSE_ATTORNEY\"]\n\nNote: The relation label \"DEFENSE_",
"GOVERNMENT_OF\n\nExplanation:\nThe text mentions that \"the",
"\"COLLECTED_MONEY_FROM\"",
"\"COLLECTED_FROM_COUNTRY\"",
"COLLECTED_IN\n\n[{'head': ['56', '62', '",
"\"COLLECTED_FUNDS_FROM\"",
"COLLECTED_MONEY_FROM",
"COLLECTED_FROM",
"COLLECTED_MONEY_FROM",
"\"COLLECTED_MONEY_FROM\"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"label\": \"SELF\"}]\n\nor if you mean the relation between the entities",
"[{\"relation\": \"RESIDES_IN\"}]\n\n[Explanation: The",
"[{\"relation\": \"FOUND_GUILTY_ON_DATE\"}]\n\nOr",
"[{\"label\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"\"SENTENCE\"",
"[{\"head\": \"Guzman\", \"relation\": \"OWNER\", \"tail\":",
"\"COLLECTED_MONEY\"",
"[{'relation': 'ARRESTED_IN'}]\n\nThis relation indicates that Gu",
"[{'relation': 'PRECEDES'}]\n\nThis relation indicates that the event described",
"\"NUM_INVESTORS\"",
"[{\"relation\": \"SELF\"}]\n\nOr, if you consider the entities as (",
"[{\"label\": \"SELF_MENTION\"}]\n\n# Explanation:\n",
"[{\"relation\": \"ATTORNEY_OF\"}]",
"[{\"relation\": \"GOVERNMENT_OF_COUNTRY_PROSECUTED",
"[{\"location\": \"Panama\", \"person\": \"David Murcia Guzman\", \"",
"[{\"location\": \"arrested\", \"head\": \"Guzman\", \"tail\":",
"NO_RELATION",
"[{\"location_of_arrest\": {\"head\": [\"70\", \"71\",",
"Sentence: \"The conviction could carry a sentence of 12 to 15 years in",
"[{\"location\": \"arrested\", \"head\": \"53, DMG\", \"",
"COLLECTED_FROM",
"[{\"location\": \"Panama\", \"person\": \"Guzman\", \"relation\": \"",
"[{'relation': 'PRECEDES'}]\n\nThis relation indicates that the event in",
" [\"NUM_MORE_THAN\", \"Panama\", \"500000",
"[{\"location\": \"Panama\", \"person\": \"Guzman\", \"relation\": \"",
"ARRESTED_IN\n\n[{'head': ['70', '71',",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"LOCATION_OF_APPREHENSION\"}]\n\nOr",
"[{\"relation\": \"PRECEDES\"}]\n\nThis relation indicates that the event described",
"[{\"relation\": \"LOCATION_OF_EVENT\"}]\n\nThis relation indicates that the",
"[\"ARRESTED_AT\"]",
"[{'relation': 'PREVIOUSLY_RUN_BY'}]\n\nExplan",
"[{\"relation\": \"ARRESTED_PREVIOUSLY_BY\"}]\n",
"[{'head': 'last November', 'tail': 'Panama', 'label': 'LOC",
"[{\"relation\": \"ARRESTED_PREVIOUSLY_BY\"}]\n",
"[{\"relation\": \"PRECEDED_BY\"}]\n\nExplanation:\nThe",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
" [\"NUM_VICTIMS\"]",
" [\"NUM_INVESTORS\", \"COUNTRY_OF_INCIDENT\"]",
" [\"NUM_MORE_THAN\", \"500000\", \"LOCATION",
"[\"NUM_INVESTORS\", \"500000\", \"COLLECTED",
" [\"NUM_INVESTORS\", \"500000\", \"HAVE_",
" [\"LOCATION_OF_EVENT\", \"Panama\", \"scheme\"]",
"[{\"label\": \"NUM_INVESTORS_OF\"}]\n\nThis relation indicates",
"[{\"label\": \"INVESTOR_OF\", \"head\": \"as many as ",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"[{\"label\": \"SELF\"}]\n\nor if you mean the relation between the entities",
"[{\"relation\": \"RESIDES_IN\"}]\n\n[Explanation: The",
"[{\"relation\": \"FOUND_GUILTY_ON_DATE\"}]\n\nOr",
"LOCATION_OF_EVENT",
"\"SENTENCE\"",
"[{\"label\": \"ORGANIZED_BY\"}]\n\nThis relation indicates that",
"\"COLLECTED_MONEY\"",
"[{\"relation\": \"SELF\"}]\n\nOr, since the entities are the same:",
"[{'relation': 'ARRESTED_IN'}]\n\nThis relation indicates that Gu",
"[{'relation': 'PRECEDES'}]\n\nThis relation indicates that the event described",
"[\"NUM_INVESTORS\"]\n\nExplanation:\nThe relation between Guz",
"[{\"label\": \"SELF_MENTION\"}]\n\n# Explanation:\n",
"[{\"relation\": \"ATTORNEY_OF\"}]",
"[{\"relation\": \"GOVERNMENT_OF_COUNTRY_PROSECUTED",
"[{\"relation\": \"belongs_to\"}]\n\nThis relation indicates that \"Mur",
"\"COUNTRY_OF_ORIGIN\"",
"[{\"relation\": \"FOUND_GUILTY_ON_DATE\"}]\n\nOr",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Murcia Gu",
"\"POTENTIAL_SENTENCE\"",
"[{\"head\": \"Murcia Guzman’s\", \"relationship\": \"O",
"\"COLLECTED_MONEY\"",
"[{\"label\": \"self_mention\", \"relation\": \"identity\"}]\nor\n",
"[{'relation': 'ARRESTED_IN'}]\n\nThis relation indicates that Mur",
" when_arrested",
"[\"NUM_INVESTORS\"]",
"[{\"label\": \"self_mention\", \"relation\": \"identity\"}]\nor\n",
"[{\"relation\": \"ATTORNEY_OF\"}]",
"[{\"label\": \"GOVERNMENT_OF\"}]\n\nExplanation:\n",
"[{\"label\": \"DEFENSE_ATTY\"}]\n\nThis relation represents that Gustavo",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION. The text does not provide enough context to establish a relation between 'Gust",
"[{\"relation\": \"DEFENSE_ATTORNEY\"}]\n\nOr if you prefer",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"NO_RELATION",
"[\"DEFENSE_ATTORNEY\", \"NUM_INVESTORS\"]\n\nOr",
"[{\"label\": \"DEFENSE_LAWYER\"}]\n\nThis text describes Gust",
"[{\"label\": \"DEFENSE_LAWYER\"}]",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between \"",
"[{\"relation\": \"nationality_of_person_head_country\": \"\"}]\n",
"[{\"relation\": \"PART_OF\"}]\n\nExplanation: The text mentions",
"LOCATION_OF_EVENT",
"\"GOVERNMENT_OF\":\nor, if the entities are not labeled with the correct",
"\"GOVERNMENT_OF\"\n\nExplanation:\nThe text mentions \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between the",
"\"GOVERNMENT_OF\"\n\nExplanation:\nThe text mentions \"",
"\"GOVERNMENT_OF\"\n\nExplanation:\nThe text states that \"",
"NO_RELATION.\n\nThe text does not provide enough context to establish a relation between '"
] | [
[
"0",
"3",
"PERSON",
"David Murcia Guzman"
],
[
"7",
"8",
"GPE",
"Colombia"
],
[
"24",
"25",
"DATE",
"Wednesday"
],
[
"27",
"28",
"GPE",
"Bogotá"
],
[
"37",
"41",
"DATE",
"12 to 15 years"
],
[
"53",
"54",
"ORG",
"DMG"
],
[
"56",
"62",
"MONEY",
"as much as $4.8 billion"
],
[
"66",
"67",
"PERSON",
"Guzman"
],
[
"70",
"71",
"GPE",
"Panama"
],
[
"71",
"73",
"DATE",
"last November"
],
[
"78",
"82",
"CARDINAL",
"as many as 500,000"
],
[
"96",
"97",
"PERSON",
"Guzman"
],
[
"105",
"108",
"PERSON",
"Murcia Guzman’s"
],
[
"110",
"112",
"PERSON",
"Gustavo Salazar"
],
[
"127",
"128",
"NORP",
"Colombian"
]
] | 298 |
300 | [
"Texas based family portrait photography by Adria Cavanaugh. My passion is providing keepsake photos for your family at an affordable price. Everyone deserves to have beautiful family photos.\nPlease email me at firstname.lastname@example.org to book!\nMacyn ~ Bridals\nOne of my favorite bridal sessions ever. Although it did start raining at the very end which caused a good bit of panic, but seriously love this bride."
] | [
[
"Texas",
"based",
"family",
"portrait",
"photography",
"by",
"Adria",
"Cavanaugh",
".",
"My",
"passion",
"is",
"providing",
"keepsake",
"photos",
"for",
"your",
"family",
"at",
"an",
"affordable",
"price",
".",
"Everyone",
"deserves",
"to",
"have",
"beautiful",
"family",
"photos",
".",
"\n",
"Please",
"email",
"me",
"at",
"firstname.lastname@example.org",
"to",
"book",
"!",
"\n",
"Macyn",
"~",
"Bridals",
"\n",
"One",
"of",
"my",
"favorite",
"bridal",
"sessions",
"ever",
".",
"Although",
"it",
"did",
"start",
"raining",
"at",
"the",
"very",
"end",
"which",
"caused",
"a",
"good",
"bit",
"of",
"panic",
",",
"but",
"seriously",
"love",
"this",
"bride",
"."
]
] | mistralai/Mistral-7B-Instruct-v0.2 | [INST] You are a fantastic relation extraction model who only outputs valid JSON.
Extract the relation between the given entities using the context in the below text. If no relation exists, use the label NO_RELATION.
ONLY RETURN THE RELATION LABEL. Do not add additional text.
Pay VERY close attention to which entity is the head and tail; this dictates the direction of the relationship.
Text:
['Texas based family portrait photography by Adria Cavanaugh. My passion is providing keepsake photos for your family at an affordable price. Everyone deserves to have beautiful family photos.\nPlease email me at firstname.lastname@example.org to book!\nMacyn ~ Bridals\nOne of my favorite bridal sessions ever. Although it did start raining at the very end which caused a good bit of panic, but seriously love this bride.']
Entities:
[{'head': ['0', '1', 'GPE', 'Texas'], 'tail': ['6', '8', 'PERSON', 'Adria Cavanaugh']}]
Relation:
[/INST]
| [
[
{
"head": [
"0",
"1",
"GPE",
"Texas"
],
"tail": [
"6",
"8",
"PERSON",
"Adria Cavanaugh"
]
}
],
[
{
"head": [
"0",
"1",
"GPE",
"Texas"
],
"tail": [
"41",
"44",
"PERSON",
"Macyn ~ Bridals"
]
}
],
[
{
"head": [
"0",
"1",
"GPE",
"Texas"
],
"tail": [
"45",
"46",
"CARDINAL",
"One"
]
}
],
[
{
"head": [
"6",
"8",
"PERSON",
"Adria Cavanaugh"
],
"tail": [
"0",
"1",
"GPE",
"Texas"
]
}
],
[
{
"head": [
"6",
"8",
"PERSON",
"Adria Cavanaugh"
],
"tail": [
"41",
"44",
"PERSON",
"Macyn ~ Bridals"
]
}
],
[
{
"head": [
"6",
"8",
"PERSON",
"Adria Cavanaugh"
],
"tail": [
"45",
"46",
"CARDINAL",
"One"
]
}
],
[
{
"head": [
"41",
"44",
"PERSON",
"Macyn ~ Bridals"
],
"tail": [
"0",
"1",
"GPE",
"Texas"
]
}
],
[
{
"head": [
"41",
"44",
"PERSON",
"Macyn ~ Bridals"
],
"tail": [
"6",
"8",
"PERSON",
"Adria Cavanaugh"
]
}
],
[
{
"head": [
"41",
"44",
"PERSON",
"Macyn ~ Bridals"
],
"tail": [
"45",
"46",
"CARDINAL",
"One"
]
}
],
[
{
"head": [
"45",
"46",
"CARDINAL",
"One"
],
"tail": [
"0",
"1",
"GPE",
"Texas"
]
}
],
[
{
"head": [
"45",
"46",
"CARDINAL",
"One"
],
"tail": [
"6",
"8",
"PERSON",
"Adria Cavanaugh"
]
}
],
[
{
"head": [
"45",
"46",
"CARDINAL",
"One"
],
"tail": [
"41",
"44",
"PERSON",
"Macyn ~ Bridals"
]
}
]
] | [
"Based_in",
"[{\"relation\": \"LOCATED_IN\"}]\n\nThis relation indicates that Macyn ~",
"Based on the context, the relation between the entities is: LOCATION_OF. Therefore,",
"LOCATION_OF\n\nExplanation:\nThe relation \"LOCATION\\_OF\" indicates",
"[{\"relation\": \"PHOTOGRAPHER_OF\"}]\n\nThis relation indicates",
"NO_RELATION.\n\nThe text does not provide any context for a relation between \"Ad",
"LOCATION_OF\n\nExplanation:\nThe text mentions that Macyn's",
"[{\"relation\": \"PHOTOGRAPHER_OF\"}]\n\nThis relation indicates",
"[{\"relation\": \"OWNER_OF\"}]\n\nOr, if you prefer a",
"LOCATION_OF\n\nExplanation:\nThe head entity \"One\" refers to the",
"[{\"relation\": \"PHOTOGRAPHER_OF\"}]\n\nThis relation indicates",
"[{\"relation\": \"PHOTOGRAPHED_BY\"}]\n\nThis relation indicates"
] | [
[
"0",
"1",
"GPE",
"Texas"
],
[
"6",
"8",
"PERSON",
"Adria Cavanaugh"
],
[
"41",
"44",
"PERSON",
"Macyn ~ Bridals"
],
[
"45",
"46",
"CARDINAL",
"One"
]
] | 299 |