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848,400 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['drum', '/music/instrument/instrumentalists', 'Syd Barrett', '<mask>', 'musician', '<mask>', 'artist'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['drum', '/music/instrument/instrumentalists', 'Syd Barrett', '/people/person/profession', 'musician', '/people/profession/specialization_of', 'artist'] |
848,401 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Todd Rundgren', '<mask>', 'record producer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Todd Rundgren', '/people/person/profession', 'record producer'] |
848,402 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Christina Aguilera', '/base/schemastaging/person_extra/net_worth./measurement_unit/dated_money_value/currency', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Christina Aguilera', '/base/schemastaging/person_extra/net_worth./measurement_unit/dated_money_value/currency', 'United States dollar'] |
848,403 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/location/location/time_zones', 'Eastern Time Zone'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Aroostook County', '/location/location/time_zones', 'Eastern Time Zone'] |
848,404 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/organization/organization/headquarters./location/mailing_address/citytown', 'Abilene'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Abilene Christian University', '/organization/organization/headquarters./location/mailing_address/citytown', 'Abilene'] |
848,405 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Maura Tierney', '/people/person/places_lived./people/place_lived/location', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Maura Tierney', '/people/person/places_lived./people/place_lived/location', 'Boston'] |
848,406 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'Jethro Tull', '<mask>', 'Blackpool', '/location/administrative_division/country', 'United Kingdom', '<mask>', 'Octopussy'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['experimental rock', '/music/genre/artists', 'Jethro Tull', '/music/artist/origin', 'Blackpool', '/location/administrative_division/country', 'United Kingdom', '/media_common/netflix_genre/titles', 'Octopussy'] |
848,407 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Union of South Africa', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'United Kingdom', '/location/location/contains', '<mask>', '/location/location/time_zones', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Union of South Africa', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'United Kingdom', '/location/location/contains', 'Walsall', '/location/location/time_zones', 'Greenwich Mean Time'] |
848,408 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Medal of Honor', '<mask>', '<mask>', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '<mask>', 'Kensington', '/base/biblioness/bibs_location/country', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Medal of Honor', '/award/award_category/winners./award/award_honor/award_winner', 'Douglas MacArthur', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Kensington', '/base/biblioness/bibs_location/country', 'England'] |
848,409 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Barrow A.F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', '<mask>', '/soccer/football_team/current_roster./sports/sports_team_roster/position', '<mask>', '/sports/sports_position/players./sports/sports_team_roster/team', 'SBV Vitesse'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Barrow A.F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'FC Tom Tomsk', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'SBV Vitesse'] |
848,410 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Perak', '/location/administrative_division/country', 'Malaysia', '<mask>', 'parliamentary system'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Perak', '/location/administrative_division/country', 'Malaysia', '/location/country/form_of_government', 'parliamentary system'] |
848,411 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Ronald Reagan', '<mask>', 'California', '/location/location/contains', '<mask>', '<mask>', 'Santa Clara County', '/location/location/contains', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Ronald Reagan', '/government/politician/government_positions_held./government/government_position_held/jurisdiction_of_office', 'California', '/location/location/contains', 'Cupertino', '/location/hud_county_place/county', 'Santa Clara County', '/location/location/contains', 'Stanford'] |
848,412 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Finnish', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification'] |
848,413 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Fiorello H. LaGuardia High School', '<mask>', 'Dom DeLuise', '/celebrities/celebrity/celebrity_friends./celebrities/friendship/friend', 'Burt Reynolds', '/celebrities/celebrity/celebrity_friends./celebrities/friendship/friend', 'Dom DeLuise'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Fiorello H. LaGuardia High School', '/education/educational_institution/students_graduates./education/education/student', 'Dom DeLuise', '/celebrities/celebrity/celebrity_friends./celebrities/friendship/friend', 'Burt Reynolds', '/celebrities/celebrity/celebrity_friends./celebrities/friendship/friend', 'Dom DeLuise'] |
848,414 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Primetime Emmy Award for Outstanding Lead Actor in a Miniseries or a Movie', '<mask>', 'Beau Bridges', '/people/person/profession', 'actor', '<mask>', 'actor', '/dataworld/gardening_hint/split_to', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Primetime Emmy Award for Outstanding Lead Actor in a Miniseries or a Movie', '/award/award_category/winners./award/award_honor/award_winner', 'Beau Bridges', '/people/person/profession', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor'] |
848,415 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Stockard Channing', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>', '<mask>', '<mask>', '/award/award_winning_work/awards_won./award/award_honor/award', 'Screen Actors Guild Award for Outstanding Performance by a Male Actor in a Drama Series', '/award/award_category/winners./award/award_honor/award_winner', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Stockard Channing', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Mary-Louise Parker', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The West Wing', '/award/award_winning_work/awards_won./award/award_honor/award', 'Screen Actors Guild Award for Outstanding Performance by a Male Actor in a Drama Series', '/award/award_category/winners./award/award_honor/award_winner', 'Dennis Franz'] |
848,416 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/education/educational_institution/students_graduates./education/education/student', 'Peter Coyote', '/people/person/religion', 'Buddhism', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Grinnell College', '/education/educational_institution/students_graduates./education/education/student', 'Peter Coyote', '/people/person/religion', 'Buddhism', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification'] |
848,417 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/music/record_label/artist', '<mask>', '/people/person/places_lived./people/place_lived/location', 'Columbus', '/sports/sports_team_location/teams', 'Columbus Blue Jackets', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Cash Money Records', '/music/record_label/artist', 'Bow Wow', '/people/person/places_lived./people/place_lived/location', 'Columbus', '/sports/sports_team_location/teams', 'Columbus Blue Jackets', '/sports/sports_team/sport', 'ice hockey'] |
848,418 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Bern', '<mask>', 'Switzerland', '/location/location/contains', 'Basel'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Bern', '/base/aareas/schema/administrative_area/administrative_parent', 'Switzerland', '/location/location/contains', 'Basel'] |
848,419 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Schleswig-Holstein', '/base/aareas/schema/administrative_area/administrative_parent', '<mask>', '/olympics/olympic_participating_country/athletes./olympics/olympic_athlete_affiliation/olympics', '2008 Summer Olympics', '/olympics/olympic_games/participating_countries', 'Nicaragua', '<mask>', 'presidential system'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Schleswig-Holstein', '/base/aareas/schema/administrative_area/administrative_parent', 'Germany', '/olympics/olympic_participating_country/athletes./olympics/olympic_athlete_affiliation/olympics', '2008 Summer Olympics', '/olympics/olympic_games/participating_countries', 'Nicaragua', '/location/country/form_of_government', 'presidential system'] |
848,420 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Michael Sembello', '/award/award_winner/awards_won./award/award_honor/award_winner', '<mask>', '<mask>', 'Grammy Award for Best Musical Theater Album', '<mask>', 'Matt Stone'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Michael Sembello', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Phil Ramone', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Best Musical Theater Album', '/award/award_category/winners./award/award_honor/award_winner', 'Matt Stone'] |
848,421 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Dave Navarro', '<mask>', 'Carmen Electra', '/people/person/profession', 'model'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Dave Navarro', '/people/person/spouse_s./people/marriage/spouse', 'Carmen Electra', '/people/person/profession', 'model'] |
848,422 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/people/person/place_of_birth', 'Cleveland', '/location/location/contains', 'Cleveland State University', '<mask>', 'white'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Burgess Meredith', '/people/person/place_of_birth', 'Cleveland', '/location/location/contains', 'Cleveland State University', '/education/educational_institution/colors', 'white'] |
848,423 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Caen', '/location/capital_of_administrative_division/capital_of./location/administrative_division_capital_relationship/administrative_division', 'Calvados', '/location/administrative_division/country', 'France', '<mask>', '<mask>', '/location/administrative_division/country', 'France'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Caen', '/location/capital_of_administrative_division/capital_of./location/administrative_division_capital_relationship/administrative_division', 'Calvados', '/location/administrative_division/country', 'France', '/location/location/contains', 'Aude', '/location/administrative_division/country', 'France'] |
848,424 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Jersey City', '<mask>', 'Bayonne', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Staten Island', '/location/location/time_zones', 'Eastern Time Zone'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Jersey City', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Bayonne', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Staten Island', '/location/location/time_zones', 'Eastern Time Zone'] |
848,425 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Simran', '/people/person/languages', 'English', '/education/field_of_study/students_majoring./education/education/major_field_of_study', '<mask>', '/education/field_of_study/students_majoring./education/education/student', 'Greg Graffin', '/people/person/employment_history./business/employment_tenure/company', 'University of California, Los Angeles'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Simran', '/people/person/languages', 'English', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'anthropology', '/education/field_of_study/students_majoring./education/education/student', 'Greg Graffin', '/people/person/employment_history./business/employment_tenure/company', 'University of California, Los Angeles'] |
848,426 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Ecuador', '<mask>', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Ecuador', '/location/statistical_region/gdp_nominal./measurement_unit/dated_money_value/currency', 'United States dollar'] |
848,427 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['pianist', '/people/profession/specialization_of', '<mask>', '/people/profession/specialization_of', 'artist'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['pianist', '/people/profession/specialization_of', 'musician', '/people/profession/specialization_of', 'artist'] |
848,428 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Sol Polito', '/people/person/nationality', 'Italy', '/location/country/official_language', '<mask>', '<mask>', 'Life is Beautiful', '/film/film/story_by', 'Roberto Benigni'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Sol Polito', '/people/person/nationality', 'Italy', '/location/country/official_language', 'Italian', '/media_common/netflix_genre/titles', 'Life is Beautiful', '/film/film/story_by', 'Roberto Benigni'] |
848,429 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['bagpipes', '<mask>', 'lead vocalist', '/music/performance_role/regular_performances./music/group_membership/role', '<mask>', '/music/performance_role/track_performances./music/track_contribution/role', 'melodica', '<mask>', 'banjo'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['bagpipes', '/music/performance_role/regular_performances./music/group_membership/role', 'lead vocalist', '/music/performance_role/regular_performances./music/group_membership/role', 'acoustic guitar', '/music/performance_role/track_performances./music/track_contribution/role', 'melodica', '/music/performance_role/regular_performances./music/group_membership/role', 'banjo'] |
848,430 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['funk rock', '/music/genre/artists', 'Maroon 5', '<mask>', 'Grammy Award for Best Pop Vocal Album', '<mask>', '46th Annual Grammy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Pat Metheny'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['funk rock', '/music/genre/artists', 'Maroon 5', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Best Pop Vocal Album', '/award/award_category/winners./award/award_honor/ceremony', '46th Annual Grammy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Pat Metheny'] |
848,431 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'clapping', '<mask>', 'gong', '/music/performance_role/track_performances./music/track_contribution/role', 'electric guitar', '<mask>', 'celesta'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['maraca', '/music/performance_role/regular_performances./music/group_membership/role', 'clapping', '/music/performance_role/guest_performances./music/recording_contribution/performance_role', 'gong', '/music/performance_role/track_performances./music/track_contribution/role', 'electric guitar', '/music/performance_role/track_performances./music/track_contribution/role', 'celesta'] |
848,432 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Ken Russell', '/people/person/profession', '<mask>', '/people/profession/specialization_of', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Ken Russell', '/people/person/profession', 'photographer', '/people/profession/specialization_of', 'artist'] |
848,433 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ["Midnight's Children", '/film/film/language', 'Urdu', '/language/human_language/countries_spoken_in', 'South Africa', '/location/statistical_region/gdp_real./measurement_unit/adjusted_money_value/adjustment_currency', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ["Midnight's Children", '/film/film/language', 'Urdu', '/language/human_language/countries_spoken_in', 'South Africa', '/location/statistical_region/gdp_real./measurement_unit/adjusted_money_value/adjustment_currency', 'United States dollar'] |
848,434 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Equatorial Guinea', '/sports/sports_team_location/teams', '<mask>', '/soccer/football_team/current_roster./sports/sports_team_roster/position', '<mask>', '<mask>', 'Al Hilal SFC'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Equatorial Guinea', '/sports/sports_team_location/teams', 'Equatorial Guinea national association football team', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Al Hilal SFC'] |
848,435 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Julia', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', '<mask>', '<mask>', 'Hagerstown', '<mask>', 'Hagerstown', '<mask>', 'Hagerstown'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Julia', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America', '/location/location/contains', 'Hagerstown', '/location/hud_county_place/place', 'Hagerstown', '/location/hud_county_place/place', 'Hagerstown'] |
848,436 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Cumberland County', '<mask>', '<mask>', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Cumberland County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Atlantic County', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', 'United States dollar'] |
848,437 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['From the Earth to the Moon', '/tv/tv_program/genre', 'documentary film', '/media_common/netflix_genre/titles', 'The Aristocrats', '/film/film/country', 'United States of America', '<mask>', 'Harvard Law School'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['From the Earth to the Moon', '/tv/tv_program/genre', 'documentary film', '/media_common/netflix_genre/titles', 'The Aristocrats', '/film/film/country', 'United States of America', '/location/location/contains', 'Harvard Law School'] |
848,438 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Slough', '/base/aareas/schema/administrative_area/administrative_parent', 'Berkshire', '/location/location/contains', '<mask>', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'philosophy', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'English literature'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Slough', '/base/aareas/schema/administrative_area/administrative_parent', 'Berkshire', '/location/location/contains', 'University of Reading', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'philosophy', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'English literature'] |
848,439 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Oakland County', '/location/us_county/county_seat', '<mask>', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Oakland County', '/location/us_county/county_seat', 'Pontiac', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] |
848,440 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Yolanda Adams', '<mask>', 'record producer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Yolanda Adams', '/people/person/profession', 'record producer'] |
848,441 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Dudley Moore', '<mask>', 'Alan Bennett'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Dudley Moore', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Alan Bennett'] |
848,442 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['crossover thrash', '/music/genre/parent_genre', 'thrash metal', '/music/genre/artists', '<mask>', '<mask>', 'guitarist', '/dataworld/gardening_hint/split_to', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['crossover thrash', '/music/genre/parent_genre', 'thrash metal', '/music/genre/artists', 'Buckethead', '/people/person/profession', 'guitarist', '/dataworld/gardening_hint/split_to', 'guitar'] |
848,443 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Java', '/location/location/contains', '<mask>', '/location/administrative_division/country', '<mask>', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/medal', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Java', '/location/location/contains', 'Jakarta', '/location/administrative_division/country', 'Indonesia', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/medal', 'bronze medal'] |
848,444 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Golden Raspberry Award for Worst Picture', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Annie', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'production sound mixer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Castle Rock Entertainment', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Golden Raspberry Award for Worst Picture', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Annie', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'production sound mixer'] |
848,445 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Chris Thomas King', '/music/artist/track_contributions./music/track_contribution/role', 'guitar', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Chris Thomas King', '/music/artist/track_contributions./music/track_contribution/role', 'guitar', '/music/instrument/instrumentalists', 'Serge Gainsbourg'] |
848,446 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['progressive metal', '/music/genre/parent_genre', '<mask>', '/music/genre/artists', 'Jethro Tull', '/music/artist/origin', 'Blackpool', '/sports/sports_team_location/teams', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['progressive metal', '/music/genre/parent_genre', 'jazz fusion', '/music/genre/artists', 'Jethro Tull', '/music/artist/origin', 'Blackpool', '/sports/sports_team_location/teams', 'Blackpool F.C.'] |
848,447 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Karisma Kapoor', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Karisma Kapoor', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Kozhikode'] |
848,448 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Gillian Welch', '<mask>', 'Nashville', '/sports/sports_team_location/teams', '<mask>', '/sports/sports_team/roster./american_football/football_roster_position/position', 'running back', '/sports/sports_position/players./sports/sports_team_roster/team', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Gillian Welch', '/music/artist/origin', 'Nashville', '/sports/sports_team_location/teams', 'Tennessee Titans', '/sports/sports_team/roster./american_football/football_roster_position/position', 'running back', '/sports/sports_position/players./sports/sports_team_roster/team', 'Las Vegas Raiders'] |
848,449 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Alemannia Aachen', '/soccer/football_team/current_roster./sports/sports_team_roster/position', '<mask>', '/sports/sports_position/players./sports/sports_team_roster/team', 'Zimbabwe national football team', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Plymouth Argyle F.C.'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Alemannia Aachen', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Zimbabwe national football team', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Plymouth Argyle F.C.'] |
848,450 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['We Were Soldiers', '<mask>', 'sound editor'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['We Were Soldiers', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'sound editor'] |
848,451 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/genre', 'thriller', '<mask>', 'Hannibal Rising', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America', '<mask>', 'Monroe County'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['The Constant Gardener', '/film/film/genre', 'thriller', '/media_common/netflix_genre/titles', 'Hannibal Rising', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America', '/location/country/second_level_divisions', 'Monroe County'] |
848,452 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', '<mask>', '/location/statistical_region/gdp_nominal_per_capita./measurement_unit/dated_money_value/currency', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Turkmenistan', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Afghanistan', '/location/statistical_region/gdp_nominal_per_capita./measurement_unit/dated_money_value/currency', 'United States dollar'] |
848,453 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Sherri Shepherd', '<mask>', 'comedian'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Sherri Shepherd', '/people/person/profession', 'comedian'] |
848,454 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['American Masters', '<mask>', 'history'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['American Masters', '/tv/tv_program/genre', 'history'] |
848,455 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Primetime Emmy Award for Outstanding Writing for a Miniseries, Movie or a Dramatic Special', '/award/award_category/nominees./award/award_nomination/nominated_for', '<mask>', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Tim Van Patten', '/tv/tv_producer/programs_produced./tv/tv_producer_term/producer_type', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Primetime Emmy Award for Outstanding Writing for a Miniseries, Movie or a Dramatic Special', '/award/award_category/nominees./award/award_nomination/nominated_for', 'The Pacific', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Tim Van Patten', '/tv/tv_producer/programs_produced./tv/tv_producer_term/producer_type', 'executive producer'] |
848,456 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Bill Evans', '/people/person/place_of_birth', '<mask>', '<mask>', 'Union County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Hudson County', '/location/location/contains', 'Bayonne'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Bill Evans', '/people/person/place_of_birth', 'Plainfield', '/location/hud_county_place/county', 'Union County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Hudson County', '/location/location/contains', 'Bayonne'] |
848,457 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['testicular cancer', '<mask>', 'Pete Postlethwaite', '/film/actor/film./film/performance/film', '<mask>', '<mask>', 'Baz Luhrmann'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['testicular cancer', '/people/cause_of_death/people', 'Pete Postlethwaite', '/film/actor/film./film/performance/film', 'Romeo + Juliet', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Baz Luhrmann'] |
848,458 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Joshua Jackson', '/base/popstra/celebrity/friendship./base/popstra/friendship/participant', 'Patrick Stewart', '/film/actor/film./film/performance/film', 'Ted', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', '<mask>', '/location/statistical_region/gni_per_capita_in_ppp_dollars./measurement_unit/dated_money_value/currency', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Joshua Jackson', '/base/popstra/celebrity/friendship./base/popstra/friendship/participant', 'Patrick Stewart', '/film/actor/film./film/performance/film', 'Ted', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Croatia', '/location/statistical_region/gni_per_capita_in_ppp_dollars./measurement_unit/dated_money_value/currency', 'United States dollar'] |
848,459 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['glitch', '/music/genre/parent_genre', 'electronica', '/music/genre/artists', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['glitch', '/music/genre/parent_genre', 'electronica', '/music/genre/artists', 'Timbaland'] |
848,460 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['goaltender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Hamilton Bulldogs', '/ice_hockey/hockey_team/current_roster./sports/sports_team_roster/position', 'defenseman', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['goaltender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Hamilton Bulldogs', '/ice_hockey/hockey_team/current_roster./sports/sports_team_roster/position', 'defenseman', '/sports/sports_position/players./sports/sports_team_roster/team', 'New York Islanders'] |
848,461 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Clyde F.C.', '<mask>', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Watford F.C.'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Clyde F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Watford F.C.'] |
848,462 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Punch-Drunk Love', '<mask>', '<mask>', '/location/country/capital', '<mask>', '/location/location/time_zones', 'Eastern European Time'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Punch-Drunk Love', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Lithuania', '/location/country/capital', 'Vilnius', '/location/location/time_zones', 'Eastern European Time'] |
848,463 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ["King's College", '/education/educational_institution/students_graduates./education/education/major_field_of_study', '<mask>', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'psychology', '<mask>', '<mask>', '<mask>', 'United States of America'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ["King's College", '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'mathematics', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'psychology', '/film/film_subject/films', 'Ordinary People', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America'] |
848,464 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'production sound mixer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['The Manchurian Candidate', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'production sound mixer'] |
848,465 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Christopher Lloyd', '/film/actor/film./film/performance/film', '<mask>', '/film/film/executive_produced_by', 'Bob Weinstein', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Christopher Lloyd', '/film/actor/film./film/performance/film', 'Piranha 3DD', '/film/film/executive_produced_by', 'Bob Weinstein', '/people/person/profession', 'film producer'] |
848,466 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/position', '<mask>', '<mask>', 'Stevenage F.C.', '<mask>', 'forward'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['FC St. Pauli', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Stevenage F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward'] |
848,467 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ["Breakfast at Tiffany's", '<mask>', 'Hal Pereira', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Birmingham'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ["Breakfast at Tiffany's", '/film/film/film_art_direction_by', 'Hal Pereira', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Ray Moyer', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Birmingham'] |
848,468 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['lounge music', '/music/genre/artists', '<mask>', '<mask>', 'conducting', '/people/profession/specialization_of', 'musician', '<mask>', 'artist'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['lounge music', '/music/genre/artists', 'Ennio Morricone', '/people/person/profession', 'conducting', '/people/profession/specialization_of', 'musician', '/people/profession/specialization_of', 'artist'] |
848,469 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Never Say Never Again', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Never Say Never Again', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America'] |
848,470 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Danny Kaye', '<mask>', '<mask>', '<mask>', 'UCLA School of Law', '/education/educational_institution/school_type', 'public university'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Danny Kaye', '/people/deceased_person/place_of_death', 'Los Angeles', '/location/location/contains', 'UCLA School of Law', '/education/educational_institution/school_type', 'public university'] |
848,471 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'Primetime Emmy Award for Outstanding Guest Actress in a Comedy Series', '/award/award_category/winners./award/award_honor/award_winner', '<mask>', '/film/actor/film./film/performance/film', 'The Lorax', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Ruby Dee', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Primetime Emmy Award for Outstanding Guest Actress in a Comedy Series', '/award/award_category/winners./award/award_honor/award_winner', 'Betty White', '/film/actor/film./film/performance/film', 'The Lorax', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Denmark'] |
848,472 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Toni Morrison', '/people/person/places_lived./people/place_lived/location', 'New York City', '/location/location/contains', 'Brooklyn', '<mask>', 'New York', '<mask>', 'Niagara Falls'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Toni Morrison', '/people/person/places_lived./people/place_lived/location', 'New York City', '/location/location/contains', 'Brooklyn', '/base/biblioness/bibs_location/state', 'New York', '/location/location/contains', 'Niagara Falls'] |
848,473 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['New York Stories', '/film/film/featured_film_locations', 'New York City', '<mask>', '<mask>', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Brooklyn', '<mask>', 'Queens'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['New York Stories', '/film/film/featured_film_locations', 'New York City', '/location/location/partially_contains', 'East River', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Brooklyn', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Queens'] |
848,474 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Landon Donovan', '/soccer/football_player/current_team./sports/sports_team_roster/team', 'FC Bayern Munich', '<mask>', '<mask>', '<mask>', 'white'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Landon Donovan', '/soccer/football_player/current_team./sports/sports_team_roster/team', 'FC Bayern Munich', '/sports/sports_team/colors', 'red', '/dataworld/gardening_hint/split_to', 'white'] |
848,475 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Summit County', '<mask>', 'United States Department of Housing and Urban Development'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Summit County', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] |
848,476 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/country', 'Germany', '<mask>', 'Russia', '/location/location/contains', 'Moscow Conservatory', '/education/educational_institution/students_graduates./education/education/student', 'Mstislav Rostropovich'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Sunshine', '/film/film/country', 'Germany', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'Russia', '/location/location/contains', 'Moscow Conservatory', '/education/educational_institution/students_graduates./education/education/student', 'Mstislav Rostropovich'] |
848,477 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Wheeling', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Wheeling', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] |
848,478 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Hamilton', '/location/hud_county_place/county', 'Butler County', '<mask>', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Hamilton', '/location/hud_county_place/county', 'Butler County', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', 'United States dollar'] |
848,479 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['bassist', '/people/profession/specialization_of', 'musician', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['bassist', '/people/profession/specialization_of', 'musician', '/people/profession/specialization_of', 'artist'] |
848,480 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/influence/influence_node/influenced_by', 'Henry Winkler', '/people/person/profession', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['H. Jon Benjamin', '/influence/influence_node/influenced_by', 'Henry Winkler', '/people/person/profession', 'television director'] |
848,481 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Maurice Jarre', '<mask>', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Birkenhead'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Maurice Jarre', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Birkenhead'] |
848,482 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/music/artist/track_contributions./music/track_contribution/role', 'horn'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Tom Scott', '/music/artist/track_contributions./music/track_contribution/role', 'horn'] |
848,483 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '<mask>', 'Soviet Union', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'New Zealand', '<mask>', '1952 Summer Olympics', '/olympics/olympic_games/participating_countries', 'Italy'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Joseph Stalin', '/government/politician/government_positions_held./government/government_position_held/jurisdiction_of_office', 'Soviet Union', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'New Zealand', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '1952 Summer Olympics', '/olympics/olympic_games/participating_countries', 'Italy'] |
848,484 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Primetime Emmy Award for Outstanding Writing for a Drama Series', '/award/award_category/winners./award/award_honor/ceremony', '61st Primetime Emmy Awards', '<mask>', 'Ellen Burstyn', '/film/actor/film./film/performance/film', 'The Last Picture Show', '/film/film/written_by', 'Peter Bogdanovich'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Primetime Emmy Award for Outstanding Writing for a Drama Series', '/award/award_category/winners./award/award_honor/ceremony', '61st Primetime Emmy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Ellen Burstyn', '/film/actor/film./film/performance/film', 'The Last Picture Show', '/film/film/written_by', 'Peter Bogdanovich'] |
848,485 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_winner/awards_won./award/award_honor/award_winner', 'HBO Films', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Fine Line Features', '<mask>', 'Deconstructing Harry', '<mask>', 'visual effects supervisor'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['BBC Film', '/award/award_winner/awards_won./award/award_honor/award_winner', 'HBO Films', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Fine Line Features', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Deconstructing Harry', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'visual effects supervisor'] |
848,486 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award', '<mask>', '<mask>', 'Mariah Carey', '/influence/influence_node/influenced_by', '<mask>', '/people/person/place_of_birth', 'Memphis'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['KC and the Sunshine Band', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Best New Artist', '/award/award_category/winners./award/award_honor/award_winner', 'Mariah Carey', '/influence/influence_node/influenced_by', 'Aretha Franklin', '/people/person/place_of_birth', 'Memphis'] |
848,487 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['ghost', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification'] |
848,488 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Tony Award for Best Actor in a Play', '/award/award_category/winners./award/award_honor/award_winner', 'Anthony LaPaglia', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Frasier', '<mask>', 'Jay Kogen'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Rex Harrison', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Tony Award for Best Actor in a Play', '/award/award_category/winners./award/award_honor/award_winner', 'Anthony LaPaglia', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Frasier', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Jay Kogen'] |
848,489 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/organization/organization/headquarters./location/mailing_address/citytown', 'Ithaca', '<mask>', 'New York', '/location/location/contains', 'Glens Falls'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Cornell University', '/organization/organization/headquarters./location/mailing_address/citytown', 'Ithaca', '/base/biblioness/bibs_location/state', 'New York', '/location/location/contains', 'Glens Falls'] |
848,490 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Robot Chicken', '<mask>', 'stop-motion'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Robot Chicken', '/tv/tv_program/genre', 'stop-motion'] |
848,491 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Harare', '/location/administrative_division/country', '<mask>', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/medal', 'gold medal'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Harare', '/location/administrative_division/country', 'Zimbabwe', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/medal', 'gold medal'] |
848,492 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Ayako Kawasumi', '/film/actor/film./film/performance/special_performance_type', '<mask>', '<mask>', '<mask>', '/film/film/genre', 'drama film', '/media_common/netflix_genre/titles', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Ayako Kawasumi', '/film/actor/film./film/performance/special_performance_type', 'seiyū', '/film/special_film_performance_type/film_performance_type./film/performance/film', 'Evangelion: 2.0 You Can (Not) Advance', '/film/film/genre', 'drama film', '/media_common/netflix_genre/titles', 'Breaking Away'] |
848,493 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Thomas Edison', '<mask>', 'film producer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Thomas Edison', '/people/person/profession', 'film producer'] |
848,494 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['skeleton', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/olympics', '2002 Winter Olympics', '<mask>', '<mask>', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Bolivia', '/location/statistical_region/religions./location/religion_percentage/religion', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['skeleton', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/olympics', '2002 Winter Olympics', '/olympics/olympic_games/participating_countries', 'Chile', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Bolivia', '/location/statistical_region/religions./location/religion_percentage/religion', 'Catholicism'] |
848,495 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Serj Tankian', '/people/person/profession', '<mask>', '/people/profession/specialization_of', 'musician', '/tv/non_character_role/tv_regular_personal_appearances./tv/tv_regular_personal_appearance/person', 'Steve Jordan'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Serj Tankian', '/people/person/profession', 'songwriter', '/people/profession/specialization_of', 'musician', '/tv/non_character_role/tv_regular_personal_appearances./tv/tv_regular_personal_appearance/person', 'Steve Jordan'] |
848,496 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/base/biblioness/bibs_location/country', 'Jamaica', '<mask>', 'constitutional monarchy'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Kingston', '/base/biblioness/bibs_location/country', 'Jamaica', '/location/country/form_of_government', 'constitutional monarchy'] |
848,497 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Rick James', '<mask>', '<mask>', '/people/profession/specialization_of', 'musician', '<mask>', 'artist'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Rick James', '/people/person/profession', 'songwriter', '/people/profession/specialization_of', 'musician', '/people/profession/specialization_of', 'artist'] |
848,498 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['University of Leeds', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'civil engineering', '<mask>', 'mechanical engineering', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'administration'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['University of Leeds', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'civil engineering', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'mechanical engineering', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'administration'] |
848,499 | <|begin_of_text|><|start_header_id|>system<|end_header_id|>
You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|>
Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['David Cross', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Arrested Development', '/tv/tv_program/program_creator', '<mask>', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Houston'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['David Cross', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Arrested Development', '/tv/tv_program/program_creator', 'Mitchell Hurwitz', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Houston'] |
Subsets and Splits