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848,200 | <|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./soccer/football_roster_position/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Unión Deportiva Las Palmas', '<mask>', 'forward', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Anorthosis Famagusta FC', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Unión Deportiva Las Palmas', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Fulham F.C.'] |
848,201 | <|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/spouse_s./people/marriage/type_of_union', 'domestic partnership', '<mask>', 'United Kingdom', '<mask>', 'A Bridge Too Far', '/film/film/cinematography', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Ian McShane', '/people/person/spouse_s./people/marriage/type_of_union', 'domestic partnership', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'United Kingdom', '/media_common/netflix_genre/titles', 'A Bridge Too Far', '/film/film/cinematography', 'Geoffrey Unsworth'] |
848,202 | <|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/profession', 'actor', '/dataworld/gardening_hint/split_to', '<mask>', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Dev Anand', '/people/person/profession', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor'] |
848,203 | <|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. ['104th United States Congress', '/government/legislative_session/members./government/government_position_held/district_represented', "New Hampshire's 2nd congressional district", '/location/location/adjoin_s./location/adjoining_relationship/adjoins', "New Hampshire's 1st congressional district", '/location/location/contains', 'Exeter', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['104th United States Congress', '/government/legislative_session/members./government/government_position_held/district_represented', "New Hampshire's 2nd congressional district", '/location/location/adjoin_s./location/adjoining_relationship/adjoins', "New Hampshire's 1st congressional district", '/location/location/contains', 'Exeter', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', 'United States dollar'] |
848,204 | <|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. ['Blues Brothers 2000', '/film/film/written_by', '<mask>', '<mask>', 'Chaplin', '/film/film/film_production_design_by', 'Stuart Craig', '<mask>', 'Greystoke: The Legend of Tarzan, Lord of the Apes'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Blues Brothers 2000', '/film/film/written_by', 'Dan Aykroyd', '/film/actor/film./film/performance/film', 'Chaplin', '/film/film/film_production_design_by', 'Stuart Craig', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Greystoke: The Legend of Tarzan, Lord of the Apes'] |
848,205 | <|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. ['MTV Video Music Award for Best Video from a Film', '/award/award_category/winners./award/award_honor/award_winner', 'Christina Aguilera', '/film/actor/film./film/performance/special_performance_type', 'playback singer', '/film/special_film_performance_type/film_performance_type./film/performance/film', 'The Sound of Music', '/award/award_winning_work/awards_won./award/award_honor/award', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['MTV Video Music Award for Best Video from a Film', '/award/award_category/winners./award/award_honor/award_winner', 'Christina Aguilera', '/film/actor/film./film/performance/special_performance_type', 'playback singer', '/film/special_film_performance_type/film_performance_type./film/performance/film', 'The Sound of Music', '/award/award_winning_work/awards_won./award/award_honor/award', 'Academy Award for Best Film Editing'] |
848,206 | <|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/school_type', 'private school'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Harvard Graduate School of Design', '/education/educational_institution/school_type', 'private school'] |
848,207 | <|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', '<mask>', '/celebrities/celebrity/celebrity_friends./celebrities/friendship/friend', 'Courteney Cox', '/people/person/place_of_birth', 'Birmingham', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['David Schwimmer', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Matthew Perry', '/celebrities/celebrity/celebrity_friends./celebrities/friendship/friend', 'Courteney Cox', '/people/person/place_of_birth', 'Birmingham', '/location/capital_of_administrative_division/capital_of./location/administrative_division_capital_relationship/administrative_division', 'Jefferson County'] |
848,208 | <|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>', 'University of Leicester', '/education/university/international_tuition./measurement_unit/dated_money_value/currency', 'pound sterling'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['University of Leicester', '/education/educational_institution/campuses', 'University of Leicester', '/education/university/international_tuition./measurement_unit/dated_money_value/currency', 'pound sterling'] |
848,209 | <|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. ['Leon Trotsky', '<mask>', 'Red Army'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Leon Trotsky', '/organization/organization_founder/organizations_founded', 'Red Army'] |
848,210 | <|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. ['Duke University', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'history', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'economics', '<mask>', 'business'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Duke University', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'history', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'economics', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'business'] |
848,211 | <|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. ['contemporary worship music', '/music/genre/artists', '<mask>', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Mary J. Blige', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['contemporary worship music', '/music/genre/artists', 'Kuk Harrell', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Mary J. Blige', '/people/person/gender', 'female organism'] |
848,212 | <|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. ['The Ghost and the Darkness', '/award/award_winning_work/awards_won./award/award_honor/award', 'Academy Award for Best Sound Editing', '<mask>', '66th Academy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Gary Summers', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['The Ghost and the Darkness', '/award/award_winning_work/awards_won./award/award_honor/award', 'Academy Award for Best Sound Editing', '/award/award_category/winners./award/award_honor/ceremony', '66th Academy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Gary Summers', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Star Wars: Episode VI – Return of the Jedi'] |
848,213 | <|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. ['House of Commons', '<mask>', '34th Canadian Parliament', '/government/legislative_session/members./government/government_position_held/district_represented', 'Ontario', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Pennsylvania', '/location/location/partially_contains', 'Blue Ridge Mountains'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['House of Commons', '/government/governmental_body/members./government/government_position_held/legislative_sessions', '34th Canadian Parliament', '/government/legislative_session/members./government/government_position_held/district_represented', 'Ontario', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Pennsylvania', '/location/location/partially_contains', 'Blue Ridge Mountains'] |
848,214 | <|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. ['Ray Stark', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Curious Case of Benjamin Button', '/film/film/story_by', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', '<mask>', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Ray Stark', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Curious Case of Benjamin Button', '/film/film/story_by', 'Eric Roth', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Forrest Gump', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Japan'] |
848,215 | <|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. ['Imperial', '/music/record_label/artist', '<mask>', '<mask>', 'Moonstruck', '/film/film/written_by', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Imperial', '/music/record_label/artist', 'Cher', '/film/actor/film./film/performance/film', 'Moonstruck', '/film/film/written_by', 'John Patrick Shanley'] |
848,216 | <|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. ['Missy Elliott', '/people/person/nationality', '<mask>', '<mask>', 'Napa County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', '<mask>', '<mask>', 'Mendocino County'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Missy Elliott', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Napa County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Sonoma County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Mendocino County'] |
848,217 | <|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. ['Infernal Affairs II', '/film/film/language', 'Yue Chinese', '/language/human_language/countries_spoken_in', 'Hong Kong', '/sports/sports_team_location/teams', 'Hong Kong national football team', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Infernal Affairs II', '/film/film/language', 'Yue Chinese', '/language/human_language/countries_spoken_in', 'Hong Kong', '/sports/sports_team_location/teams', 'Hong Kong national football team', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'midfielder'] |
848,218 | <|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. ['Avid Technology', '/base/schemastaging/organization_extra/phone_number./base/schemastaging/phone_sandbox/service_language', 'German', '/media_common/netflix_genre/titles', 'Downfall', '<mask>', 'Italy', '/location/location/contains', 'Province of Rome'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Avid Technology', '/base/schemastaging/organization_extra/phone_number./base/schemastaging/phone_sandbox/service_language', 'German', '/media_common/netflix_genre/titles', 'Downfall', '/film/film/country', 'Italy', '/location/location/contains', 'Province of Rome'] |
848,219 | <|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. ['Maggie Smith', '<mask>', 'Death on the Nile', '/film/film/genre', 'suspense'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Maggie Smith', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Death on the Nile', '/film/film/genre', 'suspense'] |
848,220 | <|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. ['Adolph Green', '/people/person/place_of_birth', '<mask>', '/location/us_county/county_seat', '<mask>', '/location/location/contains', 'Woodlawn Cemetery'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Adolph Green', '/people/person/place_of_birth', 'The Bronx', '/location/us_county/county_seat', 'The Bronx', '/location/location/contains', 'Woodlawn Cemetery'] |
848,221 | <|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', 'comedy'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Scream 2', '/film/film/genre', 'comedy'] |
848,222 | <|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. ['Fergie', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Marion Cotillard', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Dark Knight Rises', '<mask>', 'Cambodia'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Fergie', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Marion Cotillard', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Dark Knight Rises', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Cambodia'] |
848,223 | <|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. ['Spanish Civil War', '/base/culturalevent/event/entity_involved', 'Kingdom of Italy', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', '<mask>', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '2000 Summer Olympics', '/user/jg/default_domain/olympic_games/sports', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Spanish Civil War', '/base/culturalevent/event/entity_involved', 'Kingdom of Italy', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'Poland', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '2000 Summer Olympics', '/user/jg/default_domain/olympic_games/sports', 'badminton'] |
848,224 | <|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. ['Christine Baranski', '<mask>', 'Bulworth'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Christine Baranski', '/film/actor/film./film/performance/film', 'Bulworth'] |
848,225 | <|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. ['Persian', '/language/human_language/countries_spoken_in', 'Uzbekistan', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '1994 Winter Olympics', '<mask>', 'bronze medal'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Persian', '/language/human_language/countries_spoken_in', 'Uzbekistan', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '1994 Winter Olympics', '/olympics/olympic_games/medals_awarded./olympics/olympic_medal_honor/medal', 'bronze medal'] |
848,226 | <|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. ['Sexy Beast', '/film/film/country', '<mask>', '<mask>', '1992 Summer Olympics', '/olympics/olympic_games/sports', '<mask>', '<mask>', 'Cook Islands'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Sexy Beast', '/film/film/country', 'Spain', '/olympics/olympic_participating_country/athletes./olympics/olympic_athlete_affiliation/olympics', '1992 Summer Olympics', '/olympics/olympic_games/sports', 'canoe sprint', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/country', 'Cook Islands'] |
848,227 | <|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. ["The Sorcerer's Apprentice", '/film/film/genre', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ["The Sorcerer's Apprentice", '/film/film/genre', 'action film'] |
848,228 | <|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/actor/film./film/performance/film', '<mask>', '/film/film/produced_by', 'Kevin Williamson', '/people/person/profession', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Lance Henriksen', '/film/actor/film./film/performance/film', 'Scream 3', '/film/film/produced_by', 'Kevin Williamson', '/people/person/profession', 'writer'] |
848,229 | <|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', 'comedy'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['She Hate Me', '/film/film/genre', 'comedy'] |
848,230 | <|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. ['Elizabeth: The Golden Age', '/film/film/genre', 'biographical film', '/film/film_subject/films', 'Into the Wild', '<mask>', 'Fairbanks', '<mask>', 'United States Department of Housing and Urban Development'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Elizabeth: The Golden Age', '/film/film/genre', 'biographical film', '/film/film_subject/films', 'Into the Wild', '/film/film/featured_film_locations', 'Fairbanks', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] |
848,231 | <|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/places_lived./people/place_lived/location', 'New York', '/location/location/contains', 'Oswego', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['George Hamilton', '/people/person/places_lived./people/place_lived/location', 'New York', '/location/location/contains', 'Oswego', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] |
848,232 | <|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>', 'Maya Angelou', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>', '/film/actor/film./film/performance/film', 'The Wicker Man', '/film/film/language', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ["National Women's Hall of Fame", '/award/hall_of_fame/inductees./award/hall_of_fame_induction/inductee', 'Maya Angelou', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Ellen Burstyn', '/film/actor/film./film/performance/film', 'The Wicker Man', '/film/film/language', 'English'] |
848,233 | <|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. ['Screen Actors Guild Life Achievement Award', '/award/award_category/winners./award/award_honor/award_winner', '<mask>', '/people/person/gender', 'female organism'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Screen Actors Guild Life Achievement Award', '/award/award_category/winners./award/award_honor/award_winner', 'Shirley Temple', '/people/person/gender', 'female organism'] |
848,234 | <|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. ['Newfoundland and Labrador', '<mask>', 'Canada', '/olympics/olympic_participating_country/athletes./olympics/olympic_athlete_affiliation/olympics', '1920 Summer Olympics', '<mask>', 'eventing', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Newfoundland and Labrador', '/location/administrative_division/first_level_division_of', 'Canada', '/olympics/olympic_participating_country/athletes./olympics/olympic_athlete_affiliation/olympics', '1920 Summer Olympics', '/user/jg/default_domain/olympic_games/sports', 'eventing', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/country', 'Brazil'] |
848,235 | <|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. ['Jordin Sparks', '<mask>', 'American Idol', '/tv/tv_program/tv_producer./tv/tv_producer_term/producer_type', 'executive producer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Jordin Sparks', '/tv/tv_personality/tv_regular_appearances./tv/tv_regular_personal_appearance/program', 'American Idol', '/tv/tv_program/tv_producer./tv/tv_producer_term/producer_type', 'executive producer'] |
848,236 | <|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. ['John Broome', '/people/person/nationality', '<mask>', '<mask>', 'Redding', '/location/hud_county_place/county', '<mask>', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['John Broome', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Redding', '/location/hud_county_place/county', 'Shasta County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Plumas County'] |
848,237 | <|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. ['California College of the Arts', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'fine art', '/education/field_of_study/students_majoring./education/education/student', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Bernard Hill', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['California College of the Arts', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'fine art', '/education/field_of_study/students_majoring./education/education/student', 'Cate Blanchett', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Bernard Hill', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Cate Blanchett'] |
848,238 | <|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. ['Heidelberg', '<mask>', 'Heidelberg University', '<mask>', '<mask>', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', "St George's Chapel, Windsor"] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Heidelberg', '/location/location/contains', 'Heidelberg University', '/education/educational_institution/students_graduates./education/education/student', 'William Somerset Maugham', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', "St George's Chapel, Windsor"] |
848,239 | <|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. ['Sprint Corporation', '<mask>', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Sprint Corporation', '/business/business_operation/operating_income./measurement_unit/dated_money_value/currency', 'United States dollar'] |
848,240 | <|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. ['Case Western Reserve University', '/business/business_operation/operating_income./measurement_unit/dated_money_value/currency', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Case Western Reserve University', '/business/business_operation/operating_income./measurement_unit/dated_money_value/currency', 'United States dollar'] |
848,241 | <|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/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Orange County', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] |
848,242 | <|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. ['FC Shakhtar Donetsk', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward', '<mask>', 'FC Porto', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['FC Shakhtar Donetsk', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'FC Porto', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Brisbane Roar FC'] |
848,243 | <|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. ['The Spy Who Came in from the Cold', '<mask>', '<mask>', '<mask>', 'Killing Them Softly', '/film/film/country', 'United States of America', '<mask>', 'Amherst College'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['The Spy Who Came in from the Cold', '/film/film/genre', 'thriller', '/media_common/netflix_genre/titles', 'Killing Them Softly', '/film/film/country', 'United States of America', '/location/location/contains', 'Amherst College'] |
848,244 | <|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>', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Empoli FC'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Cambridge United F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Empoli FC'] |
848,245 | <|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. ['Jimmy Kimmel', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '<mask>', 'Australia', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '1952 Summer Olympics', '/olympics/olympic_games/medals_awarded./olympics/olympic_medal_honor/medal', 'gold medal'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Jimmy Kimmel', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Australia', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '1952 Summer Olympics', '/olympics/olympic_games/medals_awarded./olympics/olympic_medal_honor/medal', 'gold medal'] |
848,246 | <|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. ['Harvey Fierstein', '/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', '/film/actor/film./film/performance/film', 'Summer of Sam', '/film/film/executive_produced_by', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Harvey Fierstein', '/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', '/film/actor/film./film/performance/film', 'Summer of Sam', '/film/film/executive_produced_by', 'Michael Imperioli'] |
848,247 | <|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', '<mask>', '/dataworld/gardening_hint/split_to', 'war film', '<mask>', '<mask>', '/dataworld/gardening_hint/split_to', 'war film'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Gettysburg', '/film/film/genre', 'war film', '/dataworld/gardening_hint/split_to', 'war film', '/dataworld/gardening_hint/split_to', 'war film', '/dataworld/gardening_hint/split_to', 'war film'] |
848,248 | <|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. ['Darmstadt', '/location/location/time_zones', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Darmstadt', '/location/location/time_zones', 'Central European Time'] |
848,249 | <|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. ['The Jackal', '/film/film/other_crew./film/film_crew_gig/film_crew_role', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['The Jackal', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'special effects supervisor'] |
848,250 | <|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', 'New Zealand', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'United States of America', '/location/location/contains', 'Staunton', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Evil Angels', '/film/film/country', 'New Zealand', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'United States of America', '/location/location/contains', 'Staunton', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] |
848,251 | <|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. ['Capote', '<mask>', 'Academy Award for Best Actor', '/award/award_category/winners./award/award_honor/award_winner', 'Gregory Peck', '<mask>', 'Terror in the Aisles', '/film/film/country', 'United States of America'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Capote', '/award/award_winning_work/awards_won./award/award_honor/award', 'Academy Award for Best Actor', '/award/award_category/winners./award/award_honor/award_winner', 'Gregory Peck', '/film/actor/film./film/performance/film', 'Terror in the Aisles', '/film/film/country', 'United States of America'] |
848,252 | <|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. ['KRS-One', '/people/person/profession', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['KRS-One', '/people/person/profession', 'lyricist'] |
848,253 | <|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. ['Aalesunds FK', '<mask>', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Chester City F.C.'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Aalesunds FK', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Chester City F.C.'] |
848,254 | <|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. ['Outagamie County', '<mask>', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Outagamie County', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', 'United States dollar'] |
848,255 | <|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. ['Forest Whitaker', '<mask>', 'Independent Spirit Award for Best Male Lead', '/award/award_category/nominees./award/award_nomination/nominated_for', '<mask>', '/award/award_winning_work/awards_won./award/award_honor/award', 'Independent Spirit Award for Best Male Lead', '<mask>', 'Lost in Translation'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Forest Whitaker', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Independent Spirit Award for Best Male Lead', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Lost in Translation', '/award/award_winning_work/awards_won./award/award_honor/award', 'Independent Spirit Award for Best Male Lead', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Lost in Translation'] |
848,256 | <|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>', '/government/politician/government_positions_held./government/government_position_held/legislative_sessions', '30th United States Congress'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Lewis Cass', '/government/politician/government_positions_held./government/government_position_held/legislative_sessions', '30th United States Congress'] |
848,257 | <|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', 'Central European Time'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Utrecht', '/location/location/time_zones', 'Central European Time'] |
848,258 | <|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/places_lived./people/place_lived/location', 'New York City', '/travel/travel_destination/climate./travel/travel_destination_monthly_climate/month', 'November', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', 'May', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', 'November'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Lee Marvin', '/people/person/places_lived./people/place_lived/location', 'New York City', '/travel/travel_destination/climate./travel/travel_destination_monthly_climate/month', 'November', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', 'May', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', 'November'] |
848,259 | <|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. ['Stan Winston', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Michael Lantieri', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Witches of Eastwick', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America', '/location/location/contains', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Stan Winston', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Michael Lantieri', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Witches of Eastwick', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America', '/location/location/contains', 'Earlham College'] |
848,260 | <|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/hud_county_place/county', 'Washtenaw County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Jackson County', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Ypsilanti', '/location/hud_county_place/county', 'Washtenaw County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Jackson County', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', 'United States dollar'] |
848,261 | <|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/release_date_s./film/film_regional_release_date/film_release_distribution_medium', 'DVD'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Domino', '/film/film/release_date_s./film/film_regional_release_date/film_release_distribution_medium', 'DVD'] |
848,262 | <|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. ['Loreena McKennitt', '/people/person/profession', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Loreena McKennitt', '/people/person/profession', 'composer'] |
848,263 | <|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. ['1988 Winter Olympics', '/olympics/olympic_games/sports', '<mask>', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/country', 'Switzerland', '<mask>', '1976 Winter Olympics', '/olympics/olympic_games/sports', 'ice hockey'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['1988 Winter Olympics', '/olympics/olympic_games/sports', 'ice hockey', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/country', 'Switzerland', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '1976 Winter Olympics', '/olympics/olympic_games/sports', 'ice hockey'] |
848,264 | <|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. ['colonel', '/business/job_title/people_with_this_title./business/employment_tenure/company', 'British Army', '<mask>', '<mask>', '/location/location/contains', '<mask>', '/sports/sports_team_location/teams', 'Huddersfield Town A.F.C.'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['colonel', '/business/job_title/people_with_this_title./business/employment_tenure/company', 'British Army', '/dataworld/gardening_hint/split_to', 'United Kingdom', '/location/location/contains', 'Huddersfield', '/sports/sports_team_location/teams', 'Huddersfield Town A.F.C.'] |
848,265 | <|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. ['BAFTA Award for Best Makeup and Hair', '/award/award_category/nominees./award/award_nomination/nominated_for', '<mask>', '<mask>', 'Spain', '<mask>', 'Gibraltar', '<mask>', 'Spain'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['BAFTA Award for Best Makeup and Hair', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Hairspray', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Spain', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Gibraltar', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Spain'] |
848,266 | <|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. ['Ben Johnson', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Last Picture Show', '/film/film/genre', 'drama film', '/media_common/netflix_genre/titles', '<mask>', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Ben Johnson', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Last Picture Show', '/film/film/genre', 'drama film', '/media_common/netflix_genre/titles', 'Hilary and Jackie', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Emily Watson'] |
848,267 | <|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. ['Aya Hisakawa', '/film/actor/film./film/performance/film', '<mask>', '<mask>', '<mask>', '/media_common/netflix_genre/titles', 'Tom Jones', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Michael Balcon'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Aya Hisakawa', '/film/actor/film./film/performance/film', 'Sailor Moon R: The Movie', '/film/film/genre', 'adventure film', '/media_common/netflix_genre/titles', 'Tom Jones', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Michael Balcon'] |
848,268 | <|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/languages', '<mask>', '<mask>', 'India', '/location/location/contains', 'Himachal Pradesh', '/base/aareas/schema/administrative_area/capital', 'Shimla'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Shriram Lagoo', '/people/person/languages', 'Gujarati', '/language/human_language/countries_spoken_in', 'India', '/location/location/contains', 'Himachal Pradesh', '/base/aareas/schema/administrative_area/capital', 'Shimla'] |
848,269 | <|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. ['Byzantine Empire', '/location/country/official_language', 'Latin', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Byzantine Empire', '/location/country/official_language', 'Latin', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'politics'] |
848,270 | <|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/performance_role/regular_performances./music/group_membership/role', 'mandolin', '/music/performance_role/regular_performances./music/group_membership/role', '<mask>', '/music/instrument/instrumentalists', 'John Paul Jones', '/people/person/profession', 'record producer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['musical saw', '/music/performance_role/regular_performances./music/group_membership/role', 'mandolin', '/music/performance_role/regular_performances./music/group_membership/role', 'keytar', '/music/instrument/instrumentalists', 'John Paul Jones', '/people/person/profession', 'record producer'] |
848,271 | <|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/languages', 'English'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Priyanka Chopra', '/people/person/languages', 'English'] |
848,272 | <|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. ['Dijon', '<mask>', 'France', '/media_common/netflix_genre/titles', 'Taken'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Dijon', '/base/biblioness/bibs_location/country', 'France', '/media_common/netflix_genre/titles', 'Taken'] |
848,273 | <|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/nationality', 'United States of America', '/location/location/contains', 'Indiana State University', '/education/educational_institution/campuses', 'Indiana State University'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Major League Baseball All-Star Game', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Indiana State University', '/education/educational_institution/campuses', 'Indiana State University'] |
848,274 | <|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. ['Loretta Young', '<mask>', 'Primetime Emmy Award for Individual Performance in a Variety or Music Program', '<mask>', 'The Daily Show', '<mask>', 'parody'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Loretta Young', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Primetime Emmy Award for Individual Performance in a Variety or Music Program', '/award/award_category/nominees./award/award_nomination/nominated_for', 'The Daily Show', '/tv/tv_program/genre', 'parody'] |
848,275 | <|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. ['Kazakhstan', '/olympics/olympic_participating_country/athletes./olympics/olympic_athlete_affiliation/olympics', '2012 Summer Olympics', '<mask>', '<mask>', '<mask>', '1992 Summer Olympics', '/olympics/olympic_games/sports', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Kazakhstan', '/olympics/olympic_participating_country/athletes./olympics/olympic_athlete_affiliation/olympics', '2012 Summer Olympics', '/olympics/olympic_games/sports', 'canoe slalom', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/olympics', '1992 Summer Olympics', '/olympics/olympic_games/sports', 'show jumping'] |
848,276 | <|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_category/winners./award/award_honor/award_winner', 'Clive A. Smith'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ["Daytime Emmy Award for Outstanding Children's Animated Program", '/award/award_category/winners./award/award_honor/award_winner', 'Clive A. Smith'] |
848,277 | <|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/schemastaging/organization_extra/phone_number./base/schemastaging/phone_sandbox/service_location', 'United States of America', '/location/location/contains', 'Franklin & Marshall College', '/education/educational_institution/students_graduates./education/education/student', 'Treat Williams'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Gameloft', '/base/schemastaging/organization_extra/phone_number./base/schemastaging/phone_sandbox/service_location', 'United States of America', '/location/location/contains', 'Franklin & Marshall College', '/education/educational_institution/students_graduates./education/education/student', 'Treat Williams'] |
848,278 | <|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. ['Monica Rial', '/people/person/place_of_birth', '<mask>', '/base/petbreeds/city_with_dogs/top_breeds./base/petbreeds/dog_city_relationship/dog_breed', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Monica Rial', '/people/person/place_of_birth', 'Houston', '/base/petbreeds/city_with_dogs/top_breeds./base/petbreeds/dog_city_relationship/dog_breed', 'Labrador retriever'] |
848,279 | <|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/contains', 'Gaston County', '<mask>', 'United States Department of Housing and Urban Development'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['North Carolina', '/location/location/contains', 'Gaston County', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] |
848,280 | <|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. ['Andrew Jackson', '/government/politician/government_positions_held./government/government_position_held/legislative_sessions', '5th United States Congress', '/government/legislative_session/members./government/government_position_held/legislative_sessions', '9th United States Congress', '<mask>', 'New York', '/location/location/contains', 'Ithaca College'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Andrew Jackson', '/government/politician/government_positions_held./government/government_position_held/legislative_sessions', '5th United States Congress', '/government/legislative_session/members./government/government_position_held/legislative_sessions', '9th United States Congress', '/government/legislative_session/members./government/government_position_held/district_represented', 'New York', '/location/location/contains', 'Ithaca College'] |
848,281 | <|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/nominated_for', 'Ratatouille', '<mask>', 'comedy'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Brad Bird', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Ratatouille', '/film/film/genre', 'comedy'] |
848,282 | <|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. ['Heather Locklear', '<mask>', 'female organism'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Heather Locklear', '/people/person/gender', 'female organism'] |
848,283 | <|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. ['Barcelona Province', '/base/aareas/schema/administrative_area/administrative_parent', 'Catalonia', '/location/location/contains', '<mask>', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Barcelona Province', '/base/aareas/schema/administrative_area/administrative_parent', 'Catalonia', '/location/location/contains', 'Barcelona', '/travel/travel_destination/climate./travel/travel_destination_monthly_climate/month', 'July'] |
848,284 | <|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. ['Wuthering Heights', '/film/film/estimated_budget./measurement_unit/dated_money_value/currency', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Wuthering Heights', '/film/film/estimated_budget./measurement_unit/dated_money_value/currency', 'pound sterling'] |
848,285 | <|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. ['Darren Star', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Sex and the City 2', '/film/film/genre', 'romance film', '<mask>', 'Four Weddings and a Funeral', '/film/film/production_companies', 'PolyGram Filmed Entertainment'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Darren Star', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Sex and the City 2', '/film/film/genre', 'romance film', '/media_common/netflix_genre/titles', 'Four Weddings and a Funeral', '/film/film/production_companies', 'PolyGram Filmed Entertainment'] |
848,286 | <|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. ['Alex Kingston', '<mask>', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Kellie Martin', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Noah Wyle', '<mask>', 'A Few Good Men'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Alex Kingston', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Anthony Edwards', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Kellie Martin', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Noah Wyle', '/film/actor/film./film/performance/film', 'A Few Good Men'] |
848,287 | <|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. ['TriStar Pictures', '/film/film_distributor/films_distributed./film/film_film_distributor_relationship/film', 'Cliffhanger', '/film/film/written_by', 'Sylvester Stallone', '<mask>', 'Cliffhanger', '/film/film/language', 'English'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['TriStar Pictures', '/film/film_distributor/films_distributed./film/film_film_distributor_relationship/film', 'Cliffhanger', '/film/film/written_by', 'Sylvester Stallone', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Cliffhanger', '/film/film/language', 'English'] |
848,288 | <|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. ['Warren Zevon', '<mask>', '<mask>', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Escondido', '<mask>', 'United States Department of Housing and Urban Development'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Warren Zevon', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Escondido', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development'] |
848,289 | <|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', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Penelope Wilton', '/film/actor/film./film/performance/film', '<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', 'Downton Abbey', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Phyllis Logan', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Penelope Wilton', '/film/actor/film./film/performance/film', 'The History Boys'] |
848,290 | <|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', '<mask>', '/sports/sports_position/players./sports/sports_team_roster/team', 'Oldham Athletic A.F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', '<mask>', '/sports/sports_position/players./sports/sports_team_roster/team', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Armenia national football team', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Oldham Athletic A.F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Angers SCO'] |
848,291 | <|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. ['74th Academy Awards', '<mask>', 'Michael Minkler'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['74th Academy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Michael Minkler'] |
848,292 | <|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. ['Ratatouille', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Andrew Stanton', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Finding Nemo', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Czech Republic', '<mask>', '2000 Summer Olympics'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Ratatouille', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Andrew Stanton', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Finding Nemo', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Czech Republic', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '2000 Summer Olympics'] |
848,293 | <|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. ['Herbert Lom', '/people/person/religion', 'Judaism', '<mask>', 'A Serious Man', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Singapore', '/sports/sports_team_location/teams', 'Singapore national football team'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Herbert Lom', '/people/person/religion', 'Judaism', '/media_common/netflix_genre/titles', 'A Serious Man', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Singapore', '/sports/sports_team_location/teams', 'Singapore national football team'] |
848,294 | <|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. ['Virginia Commonwealth University', '/education/educational_institution/students_graduates./education/education/major_field_of_study', '<mask>', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Virginia Commonwealth University', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'business', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification'] |
848,295 | <|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/contains', 'Haarlem'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['North Holland', '/location/location/contains', 'Haarlem'] |
848,296 | <|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. ['Lauren Ambrose', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Independent Spirit Award for Best Female Lead', '/award/award_category/winners./award/award_honor/award_winner', 'Elliot Page', '/people/person/gender', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Lauren Ambrose', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Independent Spirit Award for Best Female Lead', '/award/award_category/winners./award/award_honor/award_winner', 'Elliot Page', '/people/person/gender', 'female organism'] |
848,297 | <|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/crewmember', 'Michael Semanick'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Signs', '/film/film/other_crew./film/film_crew_gig/crewmember', 'Michael Semanick'] |
848,298 | <|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. ['Jim Beaver', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'William Sanderson', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Jeffrey Jones', '/people/person/places_lived./people/place_lived/location', '<mask>', '/base/popstra/location/vacationers./base/popstra/vacation_choice/vacationer', 'Courtney Love'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Jim Beaver', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'William Sanderson', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Jeffrey Jones', '/people/person/places_lived./people/place_lived/location', 'London', '/base/popstra/location/vacationers./base/popstra/vacation_choice/vacationer', 'Courtney Love'] |
848,299 | <|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. ['Luton', '/location/administrative_division/country', '<mask>', '/media_common/netflix_genre/titles', 'Submarine', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', '<mask>', '/location/country/second_level_divisions', 'County Sligo'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
| ['Luton', '/location/administrative_division/country', 'United Kingdom', '/media_common/netflix_genre/titles', 'Submarine', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Republic of Ireland', '/location/country/second_level_divisions', 'County Sligo'] |
Subsets and Splits