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<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/location/location/time_zones', 'Eastern Time Zone'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Kingston', '/location/location/time_zones', 'Eastern Time Zone']
848,301
<|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. ['(500) Days of Summer', '<mask>', 'Russia', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '2008 Summer Olympics', '/olympics/olympic_games/participating_countries', 'Kazakhstan', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['(500) Days of Summer', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Russia', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '2008 Summer Olympics', '/olympics/olympic_games/participating_countries', 'Kazakhstan', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Kyrgyzstan']
848,302
<|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. ['infielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Cleveland Guardians', '/sports/professional_sports_team/draft_picks./sports/sports_league_draft_pick/draft', '<mask>', '/sports/sports_league_draft/picks./sports/sports_league_draft_pick/school', 'California State University', '/organization/organization/child./organization/organization_relationship/child', 'Sonoma State University'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['infielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Cleveland Guardians', '/sports/professional_sports_team/draft_picks./sports/sports_league_draft_pick/draft', '2003 Major League Baseball draft', '/sports/sports_league_draft/picks./sports/sports_league_draft_pick/school', 'California State University', '/organization/organization/child./organization/organization_relationship/child', 'Sonoma State University']
848,303
<|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. ['Russian Soviet Federative Socialist Republic', '/location/location/contains', 'Moscow', '/sports/sports_team_location/teams', 'FC Torpedo Moscow', '/soccer/football_team/current_roster./soccer/football_roster_position/position', '<mask>', '/sports/sports_position/players./sports/sports_team_roster/team', 'Granada CF'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Russian Soviet Federative Socialist Republic', '/location/location/contains', 'Moscow', '/sports/sports_team_location/teams', 'FC Torpedo Moscow', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Granada CF']
848,304
<|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. ['Uttarakhand', '/base/aareas/schema/administrative_area/capital', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Uttarakhand', '/base/aareas/schema/administrative_area/capital', 'Dehradun']
848,305
<|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>', '/tv/tv_program/genre', 'science fiction'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Alias', '/tv/tv_program/genre', 'science fiction']
848,306
<|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. ['Montgomery County', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Montgomery County', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
848,307
<|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. ['Lucas County', '/location/location/time_zones', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Lucas County', '/location/location/time_zones', 'Eastern Time Zone']
848,308
<|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. ['Sofia', '/location/location/time_zones', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Sofia', '/location/location/time_zones', 'Eastern European Time']
848,309
<|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. ['Roger Bart', '<mask>', 'Shane Kinsman'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Roger Bart', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Shane Kinsman']
848,310
<|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. ['Z', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America', '/location/location/contains', 'Ohio Wesleyan University', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Z', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America', '/location/location/contains', 'Ohio Wesleyan University', '/business/business_operation/revenue./measurement_unit/dated_money_value/currency', 'United States dollar']
848,311
<|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/popstra/location/vacationers./base/popstra/vacation_choice/vacationer', 'Patrick Dempsey', '/people/person/languages', '<mask>', '<mask>', 'Dominica', '/organization/organization_member/member_of./organization/organization_membership/organization', 'Commonwealth of Nations'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Paris', '/base/popstra/location/vacationers./base/popstra/vacation_choice/vacationer', 'Patrick Dempsey', '/people/person/languages', 'English', '/language/human_language/countries_spoken_in', 'Dominica', '/organization/organization_member/member_of./organization/organization_membership/organization', 'Commonwealth of Nations']
848,312
<|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|>
['Anchorage', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
848,313
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['David Cronenberg', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', '<mask>', '/award/award_winning_work/awards_won./award/award_honor/award', 'Genie Award for Best Achievement in Editing', '/award/award_category/nominees./award/award_nomination/nominated_for', 'A Dangerous Method', '/film/film/genre', 'biographical film'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['David Cronenberg', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Crash', '/award/award_winning_work/awards_won./award/award_honor/award', 'Genie Award for Best Achievement in Editing', '/award/award_category/nominees./award/award_nomination/nominated_for', 'A Dangerous Method', '/film/film/genre', 'biographical film']
848,314
<|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. ['54th Primetime Emmy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Allison Janney', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Sissy Spacek', '<mask>', 'Missing', '/film/film/genre', 'history'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['54th Primetime Emmy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Allison Janney', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Sissy Spacek', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Missing', '/film/film/genre', 'history']
848,315
<|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. ['Nikolai Gogol', '/influence/influence_node/influenced_by', 'Miguel de Cervantes', '<mask>', 'Spain', '/media_common/netflix_genre/titles', '<mask>', '/film/film/country', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Nikolai Gogol', '/influence/influence_node/influenced_by', 'Miguel de Cervantes', '/people/person/nationality', 'Spain', '/media_common/netflix_genre/titles', "Pan's Labyrinth", '/film/film/country', 'Spain']
848,316
<|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. ['Howards End', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'James Ivory', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Ismail Merchant', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Academy Award for Best Live Action Short Film', '/award/award_category/winners./award/award_honor/ceremony', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Howards End', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'James Ivory', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Ismail Merchant', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Academy Award for Best Live Action Short Film', '/award/award_category/winners./award/award_honor/ceremony', '68th Academy Awards']
848,317
<|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. ['Michelangelo Antonioni', '<mask>', 'Ferrara'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Michelangelo Antonioni', '/people/person/places_lived./people/place_lived/location', 'Ferrara']
848,318
<|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. ['Champaign', '<mask>', 'United States of America', '<mask>', 'Frederick County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', '<mask>', '/location/location/time_zones', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Champaign', '/base/biblioness/bibs_location/country', 'United States of America', '/location/country/second_level_divisions', 'Frederick County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Franklin County', '/location/location/time_zones', 'Eastern Time Zone']
848,319
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/user/jg/default_domain/olympic_games/sports', 'track cycling'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['1920 Summer Olympics', '/user/jg/default_domain/olympic_games/sports', 'track cycling']
848,320
<|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. ['44th Annual Grammy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Tim Blake Nelson', '<mask>', 'Emmylou Harris', '<mask>', 'electric guitar', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['44th Annual Grammy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Tim Blake Nelson', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Emmylou Harris', '/music/artist/track_contributions./music/track_contribution/role', 'electric guitar', '/music/performance_role/regular_performances./music/group_membership/role', 'theremin']
848,321
<|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. ['Joliet', '/location/capital_of_administrative_division/capital_of./location/administrative_division_capital_relationship/administrative_division', '<mask>', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'DuPage County', '/location/location/contains', 'Wheaton', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Joliet', '/location/capital_of_administrative_division/capital_of./location/administrative_division_capital_relationship/administrative_division', 'Will County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'DuPage County', '/location/location/contains', 'Wheaton', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
848,322
<|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. ['Larry Crowne', '/film/film/language', 'English', '/education/field_of_study/students_majoring./education/education/student', '<mask>', '/celebrities/celebrity/sexual_relationships./celebrities/romantic_relationship/celebrity', '<mask>', '<mask>', 'Yo-Yo Ma'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Larry Crowne', '/film/film/language', 'English', '/education/field_of_study/students_majoring./education/education/student', 'Katie Couric', '/celebrities/celebrity/sexual_relationships./celebrities/romantic_relationship/celebrity', 'Chris Botti', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Yo-Yo Ma']
848,323
<|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. ['21st Academy Awards', '/award/award_ceremony/awards_presented./award/award_honor/honored_for', 'Joan of Arc', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Dorothy Jeakins', '<mask>', 'The Music Man', '/award/award_winning_work/awards_won./award/award_honor/award_winner', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['21st Academy Awards', '/award/award_ceremony/awards_presented./award/award_honor/honored_for', 'Joan of Arc', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Dorothy Jeakins', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Music Man', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Ray Heindorf']
848,324
<|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. ['Howard County', '<mask>', '<mask>', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Howard County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', '<mask>', '/location/location/time_zones', 'Eastern Time Zone'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Howard County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Anne Arundel County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Howard County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Anne Arundel County', '/location/location/time_zones', 'Eastern Time Zone']
848,325
<|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. ['Malcolm David Kelley', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Adewale Akinnuoye-Agbaje', '<mask>', '<mask>', '/dataworld/gardening_hint/split_to', '<mask>', '<mask>', 'actor'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Malcolm David Kelley', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Adewale Akinnuoye-Agbaje', '/people/person/profession', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor']
848,326
<|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. ['Paranormal Activity', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', '<mask>', '/location/statistical_region/gdp_real./measurement_unit/adjusted_money_value/adjustment_currency', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Paranormal Activity', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Finland', '/location/statistical_region/gdp_real./measurement_unit/adjusted_money_value/adjustment_currency', 'United States dollar']
848,327
<|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>', '<mask>', '<mask>', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['John DiMaggio', '/people/person/profession', 'voice actor', '/people/profession/specialization_of', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor']
848,328
<|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. ['National Society of Film Critics Award for Best Actor', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Network', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['National Society of Film Critics Award for Best Actor', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Network', '/film/film/genre', 'parody']
848,329
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Tim Rice'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Howard Ashman', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Tim Rice']
848,330
<|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/place', '<mask>', '/location/hud_county_place/place', 'Scranton', '/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|>
['Scranton', '/location/hud_county_place/place', 'Scranton', '/location/hud_county_place/place', 'Scranton', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
848,331
<|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. ['High School Musical', '/film/film/genre', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['High School Musical', '/film/film/genre', 'romantic comedy']
848,332
<|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 Verdict', '/award/award_nominated_work/award_nominations./award/award_nomination/nominated_for', 'Butch Cassidy and the Sundance Kid', '/award/award_nominated_work/award_nominations./award/award_nomination/nominated_for', 'Exodus', '<mask>', 'Richard Day', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Joseph C. Wright'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['The Verdict', '/award/award_nominated_work/award_nominations./award/award_nomination/nominated_for', 'Butch Cassidy and the Sundance Kid', '/award/award_nominated_work/award_nominations./award/award_nomination/nominated_for', 'Exodus', '/film/film/film_art_direction_by', 'Richard Day', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Joseph C. Wright']
848,333
<|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. ['Olivia Williams', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Alfred Molina', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Carrie-Anne Moss', '<mask>', '<mask>', '<mask>', 'Juliette Binoche'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Olivia Williams', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Alfred Molina', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Carrie-Anne Moss', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'John Wood', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Juliette Binoche']
848,334
<|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>', 'Trey Parker', '/people/person/profession', 'composer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['music', '/education/field_of_study/students_majoring./education/education/student', 'Trey Parker', '/people/person/profession', 'composer']
848,335
<|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 Foster', '<mask>', 'Manchester United F.C.', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Cambridge United F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Ben Foster', '/sports/pro_athlete/teams./sports/sports_team_roster/team', 'Manchester United F.C.', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Cambridge United F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender']
848,336
<|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', '/location/location/time_zones', 'Newfoundland Standard time'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Newfoundland and Labrador', '/location/administrative_division/first_level_division_of', 'Canada', '/location/location/time_zones', 'Newfoundland Standard time']
848,337
<|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. ['Idris Elba', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>', '/base/popstra/celebrity/friendship./base/popstra/friendship/participant', '<mask>', '/people/person/spouse_s./people/marriage/spouse', 'Keith Urban', '/people/person/nationality', 'New Zealand'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Idris Elba', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Russell Crowe', '/base/popstra/celebrity/friendship./base/popstra/friendship/participant', 'Nicole Kidman', '/people/person/spouse_s./people/marriage/spouse', 'Keith Urban', '/people/person/nationality', 'New Zealand']
848,338
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Cercle Brugge K.S.V.'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Club Libertad', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Cercle Brugge K.S.V.']
848,339
<|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>', 'Sylvia Plath', '<mask>', 'United States of America', '/location/location/contains', 'Melbourne', '/base/biblioness/bibs_location/country', 'United States of America'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['suicide', '/people/cause_of_death/people', 'Sylvia Plath', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Melbourne', '/base/biblioness/bibs_location/country', 'United States of America']
848,340
<|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. ['J. D. Salinger', '/people/person/profession', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['J. D. Salinger', '/people/person/profession', 'writer']
848,341
<|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. ['Batman: The Animated Series', '<mask>', 'mystery fiction', '/media_common/netflix_genre/titles', 'Shanghai', '/film/film/genre', 'romance film', '/media_common/netflix_genre/titles', 'Chocolat'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Batman: The Animated Series', '/tv/tv_program/genre', 'mystery fiction', '/media_common/netflix_genre/titles', 'Shanghai', '/film/film/genre', 'romance film', '/media_common/netflix_genre/titles', 'Chocolat']
848,342
<|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. ['Taito', '<mask>', 'video game industry'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Taito', '/business/business_operation/industry', 'video game industry']
848,343
<|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. ['Turkish', '<mask>', 'Cyprus', '/location/country/official_language', '<mask>', '/language/human_language/countries_spoken_in', '<mask>', '/base/aareas/schema/administrative_area/administrative_parent', 'Earth'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Turkish', '/language/human_language/countries_spoken_in', 'Cyprus', '/location/country/official_language', 'Greek', '/language/human_language/countries_spoken_in', 'Albania', '/base/aareas/schema/administrative_area/administrative_parent', 'Earth']
848,344
<|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. ['Matt Frewer', '/people/person/place_of_birth', 'Washington, D.C.', '<mask>', 'Washington Nationals', '/sports/sports_team/roster./baseball/baseball_roster_position/position', 'infielder', '<mask>', 'Arizona Diamondbacks'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Matt Frewer', '/people/person/place_of_birth', 'Washington, D.C.', '/sports/sports_team_location/teams', 'Washington Nationals', '/sports/sports_team/roster./baseball/baseball_roster_position/position', 'infielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Arizona Diamondbacks']
848,345
<|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', 'Scarborough'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Yorkshire', '/location/location/contains', 'Scarborough']
848,346
<|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>', '/tv/tv_program/genre', 'drama film', '/media_common/netflix_genre/titles', 'The Prestige', '/film/film/produced_by', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award', 'BAFTA Award for Best Original Screenplay'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Monk', '/tv/tv_program/genre', 'drama film', '/media_common/netflix_genre/titles', 'The Prestige', '/film/film/produced_by', 'Christopher Nolan', '/award/award_nominee/award_nominations./award/award_nomination/award', 'BAFTA Award for Best Original Screenplay']
848,347
<|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/university/domestic_tuition./measurement_unit/dated_money_value/currency', 'Australian dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['University of Melbourne', '/education/university/domestic_tuition./measurement_unit/dated_money_value/currency', 'Australian dollar']
848,348
<|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>', 'London', '/location/location/contains', '<mask>', '/education/educational_institution/colors', 'blue'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Ryan Gosling', '/people/person/places_lived./people/place_lived/location', 'London', '/location/location/contains', 'Western University', '/education/educational_institution/colors', 'blue']
848,349
<|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/disciplines_or_subjects', 'fiction', '/people/profession/specialization_of', 'writer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['World Fantasy Award for Best Anthology', '/award/award_category/disciplines_or_subjects', 'fiction', '/people/profession/specialization_of', 'writer']
848,350
<|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. ['gay', '/media_common/netflix_genre/titles', '<mask>', '/film/film/genre', 'drama film'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['gay', '/media_common/netflix_genre/titles', 'Far from Heaven', '/film/film/genre', 'drama film']
848,351
<|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. ['Uzbekistan national football team', '/soccer/football_team/current_roster./soccer/football_roster_position/position', '<mask>', '<mask>', '<mask>', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '<mask>', 'Milton Keynes Dons F.C.'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Uzbekistan national football team', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'Ulsan HD FC', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Milton Keynes Dons F.C.']
848,352
<|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. ['F. Murray Abraham', '/award/award_nominee/award_nominations./award/award_nomination/award', 'BAFTA Award for Best Actor in a Leading Role', '/award/award_category/nominees./award/award_nomination/nominated_for', '<mask>', '/film/film/genre', 'political thriller', '/media_common/netflix_genre/titles', 'Michael Collins'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['F. Murray Abraham', '/award/award_nominee/award_nominations./award/award_nomination/award', 'BAFTA Award for Best Actor in a Leading Role', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Tinker Tailor Soldier Spy', '/film/film/genre', 'political thriller', '/media_common/netflix_genre/titles', 'Michael Collins']
848,353
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Hugo Award for Best Novel', '/award/award_category/winners./award/award_honor/award_winner', 'C. J. Cherryh', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Hugo Award for Best Short Story', '/award/award_category/winners./award/award_honor/award_winner', 'Michael Swanwick'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Charles Stross', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Hugo Award for Best Novel', '/award/award_category/winners./award/award_honor/award_winner', 'C. J. Cherryh', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Hugo Award for Best Short Story', '/award/award_category/winners./award/award_honor/award_winner', 'Michael Swanwick']
848,354
<|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_nominee/award_nominations./award/award_nomination/award', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['contemporary worship music', '/music/genre/artists', 'Kuk Harrell', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Album of the Year']
848,355
<|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. ['Hold Back the Dawn', '<mask>', 'France', '/location/location/contains', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Hold Back the Dawn', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'France', '/location/location/contains', 'Toulouse']
848,356
<|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. ['social issue', '/film/film_subject/films', 'An Inconvenient Truth', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Chile', '<mask>', 'United Nations', '/organization/organization/headquarters./location/mailing_address/citytown', 'New York City'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['social issue', '/film/film_subject/films', 'An Inconvenient Truth', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Chile', '/organization/organization_member/member_of./organization/organization_membership/organization', 'United Nations', '/organization/organization/headquarters./location/mailing_address/citytown', 'New York City']
848,357
<|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. ['Joseph Sargent', '/people/person/profession', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Joseph Sargent', '/people/person/profession', 'television director']
848,358
<|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. ['Edith Head', '/people/deceased_person/place_of_death', 'Los Angeles', '/travel/travel_destination/climate./travel/travel_destination_monthly_climate/month', 'January', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', '<mask>', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', 'March'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Edith Head', '/people/deceased_person/place_of_death', 'Los Angeles', '/travel/travel_destination/climate./travel/travel_destination_monthly_climate/month', 'January', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', 'August', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', 'March']
848,359
<|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 Ritter', '<mask>', 'Primetime Emmy Award for Outstanding Guest Actor in a Comedy Series', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Two and a Half Men', '<mask>', 'Jenny McCarthy', '/base/popstra/celebrity/dated./base/popstra/dated/participant', 'Jim Carrey'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['John Ritter', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Primetime Emmy Award for Outstanding Guest Actor in a Comedy Series', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Two and a Half Men', '/tv/tv_program/regular_cast./tv/regular_tv_appearance/actor', 'Jenny McCarthy', '/base/popstra/celebrity/dated./base/popstra/dated/participant', 'Jim Carrey']
848,360
<|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. ['Philip K. Dick', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '<mask>', 'Cheyenne', '/base/biblioness/bibs_location/state', 'Wyoming', '/location/location/contains', 'Teton County'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Philip K. Dick', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Cheyenne', '/base/biblioness/bibs_location/state', 'Wyoming', '/location/location/contains', 'Teton County']
848,361
<|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. ['Curse of the Golden Flower', '/film/film/runtime./film/film_cut/film_release_region', 'United States of America', '<mask>', '<mask>', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Hidalgo County', '/location/location/time_zones', 'Central Time Zone'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Curse of the Golden Flower', '/film/film/runtime./film/film_cut/film_release_region', 'United States of America', '/location/country/second_level_divisions', 'Cameron County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'Hidalgo County', '/location/location/time_zones', 'Central Time Zone']
848,362
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Dave Thomas', '<mask>', 'St. Catharines', '/base/biblioness/bibs_location/country', 'Canada', '/location/statistical_region/religions./location/religion_percentage/religion', 'Catholicism'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Dave Thomas', '/people/person/place_of_birth', 'St. Catharines', '/base/biblioness/bibs_location/country', 'Canada', '/location/statistical_region/religions./location/religion_percentage/religion', 'Catholicism']
848,363
<|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. ['Norman Mailer', '/film/director/film', "Tough Guys Don't Dance", '/film/film/cinematography', '<mask>', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Philip Glass', '<mask>', 'The Hours'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Norman Mailer', '/film/director/film', "Tough Guys Don't Dance", '/film/film/cinematography', 'John Bailey', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Philip Glass', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Hours']
848,364
<|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/nominees./award/award_nomination/nominated_for', 'Pulp Fiction', '<mask>', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award', 'National Society of Film Critics Award for Best Actor', '/award/award_category/nominees./award/award_nomination/nominated_for', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['MTV Movie Award for Best Movie', '/award/award_category/nominees./award/award_nomination/nominated_for', 'Pulp Fiction', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Samuel L. Jackson', '/award/award_nominee/award_nominations./award/award_nomination/award', 'National Society of Film Critics Award for Best Actor', '/award/award_category/nominees./award/award_nomination/nominated_for', "Who's Afraid of Virginia Woolf?"]
848,365
<|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 Village', '<mask>', 'The Ladykillers', '/film/film/language', '<mask>', '/language/human_language/countries_spoken_in', 'Thailand'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['The Village', '/award/award_winning_work/awards_won./award/award_honor/honored_for', 'The Ladykillers', '/film/film/language', 'Vietnamese', '/language/human_language/countries_spoken_in', 'Thailand']
848,366
<|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/instrument/instrumentalists', 'Keith Jarrett', '/people/person/profession', 'songwriter', '/people/profession/specialization_of', 'musician', '<mask>', 'artist'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['jazz piano', '/music/instrument/instrumentalists', 'Keith Jarrett', '/people/person/profession', 'songwriter', '/people/profession/specialization_of', 'musician', '/people/profession/specialization_of', 'artist']
848,367
<|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. ['Isabelle Huppert', '/film/actor/film./film/performance/film', 'I Heart Huckabees', '/film/film/country', '<mask>', '/location/location/contains', 'Syracuse University', '/organization/organization/headquarters./location/mailing_address/citytown', 'Syracuse'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Isabelle Huppert', '/film/actor/film./film/performance/film', 'I Heart Huckabees', '/film/film/country', 'United States of America', '/location/location/contains', 'Syracuse University', '/organization/organization/headquarters./location/mailing_address/citytown', 'Syracuse']
848,368
<|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. ['Cartoon Network', '/organization/organization/headquarters./location/mailing_address/citytown', 'Atlanta', '/sports/sports_team_location/teams', '<mask>', '/sports/sports_team/roster./baseball/baseball_roster_position/position', 'relief pitcher', '/sports/sports_position/players./sports/sports_team_roster/team', 'Los Angeles Angels'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Cartoon Network', '/organization/organization/headquarters./location/mailing_address/citytown', 'Atlanta', '/sports/sports_team_location/teams', 'Atlanta Braves', '/sports/sports_team/roster./baseball/baseball_roster_position/position', 'relief pitcher', '/sports/sports_position/players./sports/sports_team_roster/team', 'Los Angeles Angels']
848,369
<|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. ['dream pop', '/music/genre/artists', '<mask>', '/music/artist/origin', 'Oklahoma City', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['dream pop', '/music/genre/artists', 'The Flaming Lips', '/music/artist/origin', 'Oklahoma City', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
848,370
<|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. ['Moe Howard', '/people/person/profession', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Moe Howard', '/people/person/profession', 'comedian']
848,371
<|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. ['Mark Kirkland', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Simpsons', '/tv/tv_program/genre', 'satire', '/music/genre/artists', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Mark Kirkland', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Simpsons', '/tv/tv_program/genre', 'satire', '/music/genre/artists', 'Brendon Small']
848,372
<|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. ['That Thing You Do!', '/film/film/genre', '<mask>', '/media_common/netflix_genre/titles', 'Milk'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['That Thing You Do!', '/film/film/genre', 'historical drama', '/media_common/netflix_genre/titles', 'Milk']
848,373
<|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. ['Ernest Borgnine', '/film/actor/film./film/performance/film', 'Small Soldiers', '/film/film/country', 'United States of America', '/location/location/contains', '<mask>', '/base/biblioness/bibs_location/country', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Ernest Borgnine', '/film/actor/film./film/performance/film', 'Small Soldiers', '/film/film/country', 'United States of America', '/location/location/contains', 'Fullerton', '/base/biblioness/bibs_location/country', 'United States of America']
848,374
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>', '/award/award_winner/awards_won./award/award_honor/award_winner', '<mask>', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Jack Huston', '<mask>', 'Dominic Chianese'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Dan Grimaldi', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Tony Sirico', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Dominic Chianese', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Jack Huston', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Dominic Chianese']
848,375
<|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. ['Walt Disney Animation Studios', '<mask>', 'Toy Story 3', '<mask>', '<mask>', '/location/location/contains', 'Bucharest', '/base/biblioness/bibs_location/country', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Walt Disney Animation Studios', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Toy Story 3', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Romania', '/location/location/contains', 'Bucharest', '/base/biblioness/bibs_location/country', 'Romania']
848,376
<|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>', 'musician', '/tv/non_character_role/tv_regular_personal_appearances./tv/tv_regular_personal_appearance/person', 'Steve Jordan', '/people/person/profession', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Steve Allen', '/people/person/profession', 'musician', '/tv/non_character_role/tv_regular_personal_appearances./tv/tv_regular_personal_appearance/person', 'Steve Jordan', '/people/person/profession', 'multi-instrumentalist']
848,377
<|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. ['Northern Ireland', '<mask>', '<mask>', '/location/location/contains', '<mask>', '/education/educational_institution/students_graduates./education/education/student', 'Liam Neeson', '/film/actor/film./film/performance/film', 'Battleship'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Northern Ireland', '/location/location/contains', 'Belfast', '/location/location/contains', "Queen's University Belfast", '/education/educational_institution/students_graduates./education/education/student', 'Liam Neeson', '/film/actor/film./film/performance/film', 'Battleship']
848,378
<|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. ['Sex and the City', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Darren Star', '/tv/tv_producer/programs_produced./tv/tv_producer_term/program', 'Beverly Hills, 90210', '/tv/tv_program/regular_cast./tv/regular_tv_appearance/actor', '<mask>', '/people/person/profession', 'actor'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Sex and the City', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Darren Star', '/tv/tv_producer/programs_produced./tv/tv_producer_term/program', 'Beverly Hills, 90210', '/tv/tv_program/regular_cast./tv/regular_tv_appearance/actor', 'Tiffani Thiessen', '/people/person/profession', 'actor']
848,379
<|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. ['Jon Vitti', '/tv/tv_writer/tv_programs./tv/tv_program_writer_relationship/tv_program', 'The Simpsons', '<mask>', 'Nancy Cartwright', '/people/person/profession', 'voice actor', '/people/profession/specialization_of', 'actor'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Jon Vitti', '/tv/tv_writer/tv_programs./tv/tv_program_writer_relationship/tv_program', 'The Simpsons', '/tv/tv_program/regular_cast./tv/regular_tv_appearance/actor', 'Nancy Cartwright', '/people/person/profession', 'voice actor', '/people/profession/specialization_of', 'actor']
848,380
<|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. ['Topaz', '/film/film/genre', '<mask>', '/media_common/netflix_genre/titles', 'Traffic', '/film/film/other_crew./film/film_crew_gig/film_crew_role', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Topaz', '/film/film/genre', 'thriller', '/media_common/netflix_genre/titles', 'Traffic', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'production sound mixer']
848,381
<|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. ['James Monroe', '<mask>', 'president', '/business/job_title/people_with_this_title./business/employment_tenure/company', '<mask>', '<mask>', 'Castle Rock Entertainment', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Golden Raspberry Award for Worst Picture'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['James Monroe', '/government/politician/government_positions_held./government/government_position_held/basic_title', 'president', '/business/job_title/people_with_this_title./business/employment_tenure/company', 'The Coca-Cola Company', '/organization/organization/child./organization/organization_relationship/child', 'Castle Rock Entertainment', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Golden Raspberry Award for Worst Picture']
848,382
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>', '<mask>', 'Chandra Wilson', '<mask>', 'Ellen Pompeo', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Sandra Oh'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Isaiah Washington', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Justin Chambers', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Chandra Wilson', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Ellen Pompeo', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Sandra Oh']
848,383
<|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. ['brass instrument', '<mask>', 'bongo drum', '/music/instrument/instrumentalists', 'Stevie Wonder', '/music/artist/track_contributions./music/track_contribution/role', 'bass drum'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['brass instrument', '/music/performance_role/regular_performances./music/group_membership/role', 'bongo drum', '/music/instrument/instrumentalists', 'Stevie Wonder', '/music/artist/track_contributions./music/track_contribution/role', 'bass drum']
848,384
<|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. ['Richard Jenkins', '/award/award_nominee/award_nominations./award/award_nomination/award', '<mask>', '/award/award_category/winners./award/award_honor/award_winner', 'Javier Bardem', '<mask>', '<mask>', '/film/actor/film./film/performance/film', 'Natural Born Killers'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Richard Jenkins', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Independent Spirit Award for Best Male Lead', '/award/award_category/winners./award/award_honor/award_winner', 'Javier Bardem', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Tommy Lee Jones', '/film/actor/film./film/performance/film', 'Natural Born Killers']
848,385
<|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. ['United States Marine Corps', '/organization/organization/headquarters./location/mailing_address/state_province_region', 'Virginia', '<mask>', 'Methodism'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['United States Marine Corps', '/organization/organization/headquarters./location/mailing_address/state_province_region', 'Virginia', '/location/statistical_region/religions./location/religion_percentage/religion', 'Methodism']
848,386
<|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. ['Damian Marley', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'CeeLo Green', '<mask>', '<mask>', '/location/location/contains', '<mask>', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'anthropology'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Damian Marley', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'CeeLo Green', '/music/artist/origin', 'Atlanta', '/location/location/contains', 'Emory University', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'anthropology']
848,387
<|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 Man Who Knew Too Much', '<mask>', '<mask>', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'politics', '<mask>', 'history'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['The Man Who Knew Too Much', '/film/film/language', 'Arabic', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'politics', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'history']
848,388
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Thomas Little', '/film/film_set_designer/film_sets_designed', '<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|>
['Thomas Little', '/film/film_set_designer/film_sets_designed', 'The Grapes of Wrath', '/film/film/release_date_s./film/film_regional_release_date/film_release_distribution_medium', 'DVD']
848,389
<|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. ['Panserraikos F.C.', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Panserraikos F.C.', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'FC Kryvbas Kryvyi Rih']
848,390
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['New Orleans Saints', '/sports/sports_team/sport', 'American football', '/sports/sport/pro_athletes./sports/pro_sports_played/athlete', 'Matthew Fox', '<mask>', 'Evangeline Lilly', '<mask>', 'female organism'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['New Orleans Saints', '/sports/sports_team/sport', 'American football', '/sports/sport/pro_athletes./sports/pro_sports_played/athlete', 'Matthew Fox', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Evangeline Lilly', '/people/person/gender', 'female organism']
848,391
<|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. ['Marilyn Vance', '<mask>', 'television director'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Marilyn Vance', '/people/person/profession', 'television director']
848,392
<|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. ['Russian', '/language/human_language/countries_spoken_in', '<mask>', '/location/location/contains', '<mask>', '/location/location/time_zones', 'Eastern European Time'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Russian', '/language/human_language/countries_spoken_in', 'Belarus', '/location/location/contains', 'Minsk', '/location/location/time_zones', 'Eastern European Time']
848,393
<|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. ['Xerez C.D.', '<mask>', '<mask>', '/sports/sports_position/players./sports/sports_team_roster/team', 'FC Basel', '<mask>', '<mask>', '/sports/sports_position/players./sports/sports_team_roster/team', 'CF Pachuca'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Xerez C.D.', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'FC Basel', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'CF Pachuca']
848,394
<|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. ['Keenan Wynn', '<mask>', 'Los Angeles', '/location/location/contains', 'Inglewood', '/base/biblioness/bibs_location/country', 'United States of America', '/location/location/contains', 'Hayward'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Keenan Wynn', '/people/deceased_person/place_of_death', 'Los Angeles', '/location/location/contains', 'Inglewood', '/base/biblioness/bibs_location/country', 'United States of America', '/location/location/contains', 'Hayward']
848,395
<|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. ['Broadcast Film Critics Association Award for Best Actress', '<mask>', 'In the Bedroom', '/award/award_winning_work/awards_won./award/award_honor/award', 'New York Film Critics Circle Award for Best Actor', '/award/award_category/winners./award/award_honor/award_winner', 'Anthony Hopkins', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Broadcast Film Critics Association Award for Best Actress', '/award/award_category/nominees./award/award_nomination/nominated_for', 'In the Bedroom', '/award/award_winning_work/awards_won./award/award_honor/award', 'New York Film Critics Circle Award for Best Actor', '/award/award_category/winners./award/award_honor/award_winner', 'Anthony Hopkins', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Madeline Kahn']
848,396
<|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. ['Osamu Tezuka', '/people/person/spouse_s./people/marriage/type_of_union', '<mask>', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Siena', '/location/location/time_zones', 'Central European Time'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Osamu Tezuka', '/people/person/spouse_s./people/marriage/type_of_union', 'marriage', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Siena', '/location/location/time_zones', 'Central European Time']
848,397
<|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. ['Wyclef Jean', '<mask>', 'MTV Video Music Award for Best Choreography', '/award/award_category/winners./award/award_honor/award_winner', 'Black Eyed Peas', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Best Dance/Electronic Recording', '/award/award_category/winners./award/award_honor/award_winner', 'Donna Summer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Wyclef Jean', '/award/award_nominee/award_nominations./award/award_nomination/award', 'MTV Video Music Award for Best Choreography', '/award/award_category/winners./award/award_honor/award_winner', 'Black Eyed Peas', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Best Dance/Electronic Recording', '/award/award_category/winners./award/award_honor/award_winner', 'Donna Summer']
848,398
<|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 Killers', '/award/award_nominee/award_nominations./award/award_nomination/award', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['The Killers', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Best Music Video']
848,399
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['David Guetta', '<mask>', 'Grammy Award for Album of the Year', '/award/award_category/winners./award/award_honor/ceremony', '<mask>', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Bob Dylan', '/people/person/nationality', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['David Guetta', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Album of the Year', '/award/award_category/winners./award/award_honor/ceremony', '44th Annual Grammy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'Bob Dylan', '/people/person/nationality', 'United States of America']