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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. ['University of California, Berkeley, School of Law', '/education/educational_institution/campuses', 'University of California, Berkeley, School of Law', '/education/university/local_tuition./measurement_unit/dated_money_value/currency', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['University of California, Berkeley, School of Law', '/education/educational_institution/campuses', 'University of California, Berkeley, School of Law', '/education/university/local_tuition./measurement_unit/dated_money_value/currency', 'United States dollar']
848,501
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Michael Lantieri', '/people/person/profession', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Michael Lantieri', '/people/person/profession', 'special effects supervisor']
848,502
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Larimer County', '/location/us_county/county_seat', 'Fort Collins', '<mask>', 'Mountain Time Zone'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Larimer County', '/location/us_county/county_seat', 'Fort Collins', '/location/location/time_zones', 'Mountain Time Zone']
848,503
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/produced_by', 'Andrew G. Vajna', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Basic Instinct 2', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Andrew G. Vajna', '/award/award_winner/awards_won./award/award_honor/award_winner', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['I Spy', '/film/film/produced_by', 'Andrew G. Vajna', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Basic Instinct 2', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Andrew G. Vajna', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Columbia Pictures']
848,504
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Danubio F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', '<mask>', '/sports/sports_team/colors', 'green'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Danubio F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Coritiba F.C.', '/sports/sports_team/colors', 'green']
848,505
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['international relations', '<mask>', 'Library of Congress Classification'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['international relations', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification']
848,506
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'ABC Afterschool Special', '/tv/tv_program/genre', "children's television series"] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Dick Clark', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'ABC Afterschool Special', '/tv/tv_program/genre', "children's television series"]
848,507
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['beauty contest', '<mask>', 'Whip It', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', '<mask>', '/location/location/contains', 'Province of Palermo', '<mask>', 'Sicily'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['beauty contest', '/film/film_subject/films', 'Whip It', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Italy', '/location/location/contains', 'Province of Palermo', '/base/aareas/schema/administrative_area/administrative_parent', 'Sicily']
848,508
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['University of Pennsylvania', '/education/educational_institution/students_graduates./education/education/student', 'Sharon Stone', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>', '<mask>', 'Erika Christensen', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Michael Douglas'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['University of Pennsylvania', '/education/educational_institution/students_graduates./education/education/student', 'Sharon Stone', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Benjamin Bratt', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Erika Christensen', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Michael Douglas']
848,509
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Gold Medal of the Royal Astronomical Society', '/award/award_category/winners./award/award_honor/award_winner', 'Albert Einstein', '/influence/influence_node/influenced_by', '<mask>', '/influence/influence_node/influenced_by', 'Thomas Hobbes', '/influence/influence_node/influenced_by', 'Francis Bacon'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Gold Medal of the Royal Astronomical Society', '/award/award_category/winners./award/award_honor/award_winner', 'Albert Einstein', '/influence/influence_node/influenced_by', 'Benedictus de Spinoza', '/influence/influence_node/influenced_by', 'Thomas Hobbes', '/influence/influence_node/influenced_by', 'Francis Bacon']
848,510
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Charles Boyer', '/film/actor/film./film/performance/film', 'Around the World in 80 Days', '<mask>', 'adventure film', '/media_common/netflix_genre/titles', '<mask>', '/film/film/country', 'United Kingdom'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Charles Boyer', '/film/actor/film./film/performance/film', 'Around the World in 80 Days', '/film/film/genre', 'adventure film', '/media_common/netflix_genre/titles', 'The Man in the Iron Mask', '/film/film/country', 'United Kingdom']
848,511
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Wesley Snipes', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Muskegon', '/location/location/time_zones', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Wesley Snipes', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Muskegon', '/location/location/time_zones', 'Eastern Time Zone']
848,512
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ["Governor General's Award for English-language poetry", '/award/award_category/disciplines_or_subjects', 'literature', '/education/field_of_study/students_majoring./education/education/major_field_of_study', "women's studies", '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
["Governor General's Award for English-language poetry", '/award/award_category/disciplines_or_subjects', 'literature', '/education/field_of_study/students_majoring./education/education/major_field_of_study', "women's studies", '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'literature']
848,513
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Crimea', '<mask>', 'Ukraine', '<mask>', '2012 Summer Olympics'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Crimea', '/location/administrative_division/country', 'Ukraine', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '2012 Summer Olympics']
848,514
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Fairfield University', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'mathematics', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'statistics', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'economics', '/education/field_of_study/students_majoring./education/education/major_field_of_study', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Fairfield University', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'mathematics', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'statistics', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'economics', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'economic history']
848,515
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Daredevil', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America', '<mask>', '1980 Summer Olympics', '/olympics/olympic_games/sports', 'show jumping', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/olympics', '1992 Summer Olympics'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Daredevil', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America', '/olympics/olympic_participating_country/athletes./olympics/olympic_athlete_affiliation/olympics', '1980 Summer Olympics', '/olympics/olympic_games/sports', 'show jumping', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/olympics', '1992 Summer Olympics']
848,516
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Brian Austin Green', '/base/popstra/celebrity/dated./base/popstra/dated/participant', '<mask>', '/people/person/gender', 'female organism'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Brian Austin Green', '/base/popstra/celebrity/dated./base/popstra/dated/participant', 'Tori Spelling', '/people/person/gender', 'female organism']
848,517
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence 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/capital_of_administrative_division/capital_of./location/administrative_division_capital_relationship/administrative_division', 'Languedoc-Roussillon', '<mask>', 'Central European Time'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Montpellier', '/location/capital_of_administrative_division/capital_of./location/administrative_division_capital_relationship/administrative_division', 'Languedoc-Roussillon', '/location/location/time_zones', 'Central European Time']
848,518
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Little Feat', '/music/artist/origin', '<mask>', '/location/hud_county_place/place', 'Los Angeles', '<mask>', '<mask>', '<mask>', 'June'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Little Feat', '/music/artist/origin', 'Los Angeles', '/location/hud_county_place/place', 'Los Angeles', '/travel/travel_destination/climate./travel/travel_destination_monthly_climate/month', 'August', '/base/localfood/seasonal_month/produce_available./base/localfood/produce_availability/seasonal_months', 'June']
848,519
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence 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/culturalevent/event/entity_involved', 'Kingdom of Greece', '<mask>', 'Athens', '/base/biblioness/bibs_location/country', 'Greece', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Korean War', '/base/culturalevent/event/entity_involved', 'Kingdom of Greece', '/location/country/capital', 'Athens', '/base/biblioness/bibs_location/country', 'Greece', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'Soviet Union']
848,520
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['premier', '<mask>', 'Ontario'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['premier', '/government/government_office_category/officeholders./government/government_position_held/jurisdiction_of_office', 'Ontario']
848,521
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Stade Rennais F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', '<mask>', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Stade Rennais F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Heracles Almelo', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Accrington Stanley F.C.']
848,522
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Kung Fu Hustle', '<mask>', 'Yue Chinese', '<mask>', 'Hong Kong', '<mask>', 'Election', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Kung Fu Hustle', '/film/film/language', 'Yue Chinese', '/language/human_language/countries_spoken_in', 'Hong Kong', '/media_common/netflix_genre/titles', 'Election', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Brazil']
848,523
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence 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', 'Rocky Mount', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Rocky Mount', '/location/hud_county_place/place', 'Rocky Mount', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
848,524
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['2008 NBA draft', '<mask>', 'West Virginia University', '<mask>', 'business', '<mask>', 'economics'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['2008 NBA draft', '/sports/sports_league_draft/picks./sports/sports_league_draft_pick/school', 'West Virginia University', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'business', '/education/field_of_study/students_majoring./education/education/major_field_of_study', 'economics']
848,525
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Nevada County', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Nevada County', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', 'United States dollar']
848,526
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Brittany Murphy', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Ashton Kutcher', '/people/person/place_of_birth', 'Cedar Rapids', '/location/hud_county_place/place', '<mask>', '/location/location/time_zones', 'Central Time Zone'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Brittany Murphy', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Ashton Kutcher', '/people/person/place_of_birth', 'Cedar Rapids', '/location/hud_county_place/place', 'Cedar Rapids', '/location/location/time_zones', 'Central Time Zone']
848,527
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award', '<mask>', '/award/award_category/category_of', 'Grammy Awards'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Graham Greene', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Best Spoken Word Album for Children', '/award/award_category/category_of', 'Grammy Awards']
848,528
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['broadcasting', '<mask>', 'media'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['broadcasting', '/people/profession/specialization_of', 'media']
848,529
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/language', 'French', '/language/human_language/countries_spoken_in', 'Lebanon', '<mask>', '<mask>', '/olympics/olympic_games/participating_countries', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Monty Python and the Holy Grail', '/film/film/language', 'French', '/language/human_language/countries_spoken_in', 'Lebanon', '/olympics/olympic_participating_country/athletes./olympics/olympic_athlete_affiliation/olympics', '2010 Winter Olympics', '/olympics/olympic_games/participating_countries', 'Senegal']
848,530
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['24: Redemption', '/film/film/executive_produced_by', 'Kiefer Sutherland', '<mask>', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['24: Redemption', '/film/film/executive_produced_by', 'Kiefer Sutherland', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Manny Coto', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'David Fury']
848,531
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Jessye Norman', '<mask>', 'Georg Solti', '/award/award_winner/awards_won./award/award_honor/award_winner', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Jessye Norman', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Georg Solti', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Jessye Norman']
848,532
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'set dresser'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Piranha 3D', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'set dresser']
848,533
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['14th United States Congress', '/government/legislative_session/members./government/government_position_held/district_represented', 'Virginia', '/location/location/contains', '<mask>', '/location/us_county/county_seat', 'Fairfax', '/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|>
['14th United States Congress', '/government/legislative_session/members./government/government_position_held/district_represented', 'Virginia', '/location/location/contains', 'Fairfax', '/location/us_county/county_seat', 'Fairfax', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
848,534
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/genre', 'LGBT', '<mask>', '<mask>', '<mask>', 'United States of America', '/location/location/contains', 'Iowa'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Basic Instinct', '/film/film/genre', 'LGBT', '/media_common/netflix_genre/titles', 'Transamerica', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America', '/location/location/contains', 'Iowa']
848,535
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['1896 Summer Olympics', '<mask>', 'Denmark', '/organization/organization_member/member_of./organization/organization_membership/organization', 'Council of Europe'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['1896 Summer Olympics', '/olympics/olympic_games/participating_countries', 'Denmark', '/organization/organization_member/member_of./organization/organization_membership/organization', 'Council of Europe']
848,536
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Gettysburg', '<mask>', 'Randy Edelman', '/people/person/profession', 'conducting', '/people/profession/specialization_of', 'musician', '/people/profession/specialization_of', 'artist'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Gettysburg', '/film/film/music', 'Randy Edelman', '/people/person/profession', 'conducting', '/people/profession/specialization_of', 'musician', '/people/profession/specialization_of', 'artist']
848,537
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Daws Butler', '/people/person/profession', 'voice actor', '/people/profession/specialization_of', '<mask>', '/dataworld/gardening_hint/split_to', '<mask>', '/dataworld/gardening_hint/split_to', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Daws Butler', '/people/person/profession', 'voice actor', '/people/profession/specialization_of', 'actor', '/dataworld/gardening_hint/split_to', 'actor', '/dataworld/gardening_hint/split_to', 'actor']
848,538
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Fredericksburg', '/location/us_county/county_seat', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Fredericksburg', '/location/us_county/county_seat', 'Fredericksburg']
848,539
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Dennis Muren', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Willow', '/film/film/executive_produced_by', 'George Lucas', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Lucasfilm', '<mask>', 'Lucasfilm Games'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Dennis Muren', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Willow', '/film/film/executive_produced_by', 'George Lucas', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Lucasfilm', '/organization/organization/child./organization/organization_relationship/child', 'Lucasfilm Games']
848,540
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/government/legislative_session/members./government/government_position_held/legislative_sessions', '<mask>', '/government/legislative_session/members./government/government_position_held/district_represented', 'Pennsylvania', '<mask>', '<mask>', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'economics'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['27th United States Congress', '/government/legislative_session/members./government/government_position_held/legislative_sessions', '25th United States Congress', '/government/legislative_session/members./government/government_position_held/district_represented', 'Pennsylvania', '/location/location/contains', 'Franklin & Marshall College', '/education/educational_institution/students_graduates./education/education/major_field_of_study', 'economics']
848,541
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Hillsboro', '/location/hud_county_place/place', '<mask>', '/location/location/time_zones', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Hillsboro', '/location/hud_county_place/place', 'Hillsboro', '/location/location/time_zones', 'Pacific Time Zone']
848,542
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Pacific Ocean', '/location/location/partially_contains', 'France', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'Dominion of New Zealand', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'Australia', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Pacific Ocean', '/location/location/partially_contains', 'France', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'Dominion of New Zealand', '/military/military_combatant/military_conflicts./military/military_combatant_group/combatants', 'Australia', '/olympics/olympic_participating_country/athletes./olympics/olympic_athlete_affiliation/olympics', '1996 Summer Olympics']
848,543
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Bryan Batt', '/award/award_winner/awards_won./award/award_honor/award_winner', '<mask>', '<mask>', 'Kiernan Shipka', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Screen Actors Guild Award for Outstanding Performance by an Ensemble in a Drama Series', '/award/award_category/winners./award/award_honor/award_winner', 'John Slattery'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Bryan Batt', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Robert Morse', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Kiernan Shipka', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Screen Actors Guild Award for Outstanding Performance by an Ensemble in a Drama Series', '/award/award_category/winners./award/award_honor/award_winner', 'John Slattery']
848,544
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Yale University', '<mask>', 'Alan J. Pakula', '<mask>', '<mask>', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Jason Robards', '/people/deceased_person/place_of_death', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Yale University', '/education/educational_institution/students_graduates./education/education/student', 'Alan J. Pakula', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', "All the President's Men", '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Jason Robards', '/people/deceased_person/place_of_death', 'Bridgeport']
848,545
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Contra Costa County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', '<mask>', '/location/location/contains', 'Stockton'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Contra Costa County', '/location/location/adjoin_s./location/adjoining_relationship/adjoins', 'San Joaquin County', '/location/location/contains', 'Stockton']
848,546
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Scott Rudin', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', '<mask>', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Lithuania', '/organization/organization_member/member_of./organization/organization_membership/organization', 'League of Nations', '/organization/organization/headquarters./location/mailing_address/citytown', 'Geneva'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Scott Rudin', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'The Social Network', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Lithuania', '/organization/organization_member/member_of./organization/organization_membership/organization', 'League of Nations', '/organization/organization/headquarters./location/mailing_address/citytown', 'Geneva']
848,547
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Robert Benton', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Buck Henry', '<mask>', 'screenwriter', '/people/profession/specialization_of', 'writer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Robert Benton', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Buck Henry', '/people/person/profession', 'screenwriter', '/people/profession/specialization_of', 'writer']
848,548
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['South Park', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Comedy Central', '<mask>', '<mask>', '/tv/tv_program/regular_cast./tv/regular_tv_appearance/actor', 'Isaac Hayes'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['South Park', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Comedy Central', '/tv/tv_network/programs./tv/tv_network_duration/program', 'South Park', '/tv/tv_program/regular_cast./tv/regular_tv_appearance/actor', 'Isaac Hayes']
848,549
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Huntington', '<mask>', 'Marshall University', '<mask>', 'Brad Dourif', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>', '<mask>', 'actor'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Huntington', '/location/location/contains', 'Marshall University', '/education/educational_institution/students_graduates./education/education/student', 'Brad Dourif', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Molly Parker', '/people/person/profession', 'actor']
848,550
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Mandy Moore', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Shreveport', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Mandy Moore', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Shreveport', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
848,551
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Nathan Lane', '<mask>', 'Gene Hackman', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Ben Stiller', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Night at the Museum', '/film/film/production_companies', '20th Century Studios'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Nathan Lane', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Gene Hackman', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Ben Stiller', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Night at the Museum', '/film/film/production_companies', '20th Century Studios']
848,552
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Evolution', '/film/film/produced_by', '<mask>', '<mask>', '<mask>', '/film/film/produced_by', 'Don Carmody', '/people/person/nationality', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Evolution', '/film/film/produced_by', 'Ivan Reitman', '/tv/tv_producer/programs_produced./tv/tv_producer_term/program', 'The Late Shift', '/film/film/produced_by', 'Don Carmody', '/people/person/nationality', 'Canada']
848,553
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Let Me In', '/film/film/genre', '<mask>', '<mask>', 'Twilight', '<mask>', 'Mexico', '/location/statistical_region/places_exported_to./location/imports_and_exports/exported_to', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Let Me In', '/film/film/genre', 'romance film', '/media_common/netflix_genre/titles', 'Twilight', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Mexico', '/location/statistical_region/places_exported_to./location/imports_and_exports/exported_to', 'United States of America']
848,554
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence 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>', '/olympics/olympic_games/participating_countries', 'United Kingdom', '/location/location/contains', 'Peterborough', '/base/biblioness/bibs_location/country', 'England', '/location/location/contains', 'Surrey'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['1988 Winter Olympics', '/olympics/olympic_games/participating_countries', 'United Kingdom', '/location/location/contains', 'Peterborough', '/base/biblioness/bibs_location/country', 'England', '/location/location/contains', 'Surrey']
848,555
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/people/person/spouse_s./people/marriage/type_of_union', '<mask>', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Wisconsin', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Adele', '/people/person/spouse_s./people/marriage/type_of_union', 'domestic partnership', '/people/marriage_union_type/unions_of_this_type./people/marriage/location_of_ceremony', 'Wisconsin', '/user/tsegaran/random/taxonomy_subject/entry./user/tsegaran/random/taxonomy_entry/taxonomy', 'Library of Congress Classification']
848,556
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Sociedade Esportiva Palmeiras', '<mask>', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Newport County A.F.C.', '<mask>', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Derry City F.C.'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Sociedade Esportiva Palmeiras', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Newport County A.F.C.', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'midfielder', '/sports/sports_position/players./sports/sports_team_roster/team', 'Derry City F.C.']
848,557
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['punter', '<mask>', 'running back', '/sports/sports_position/players./sports/sports_team_roster/team', 'New York Jets'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['punter', '/sports/sports_position/players./american_football/football_historical_roster_position/position_s', 'running back', '/sports/sports_position/players./sports/sports_team_roster/team', 'New York Jets']
848,558
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Apollo 13', '/award/award_winning_work/awards_won./award/award_honor/award', '<mask>', '/award/award_category/nominees./award/award_nomination/nominated_for', 'The Assassination of Jesse James by the Coward Robert Ford', '/award/award_winning_work/awards_won./award/award_honor/award_winner', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Elliott Gould'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Apollo 13', '/award/award_winning_work/awards_won./award/award_honor/award', 'Broadcast Film Critics Association Award for Best Supporting Actor', '/award/award_category/nominees./award/award_nomination/nominated_for', 'The Assassination of Jesse James by the Coward Robert Ford', '/award/award_winning_work/awards_won./award/award_honor/award_winner', 'Casey Affleck', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Elliott Gould']
848,559
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Tiburones Rojos de Veracruz', '<mask>', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Tiburones Rojos de Veracruz', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/team', 'Dunfermline Athletic F.C.']
848,560
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence 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>', '<mask>', '<mask>', '<mask>', '/sports/professional_sports_team/draft_picks./sports/sports_league_draft_pick/school', 'Florida State University', '/education/educational_institution/students_graduates./education/education/student', 'Faye Dunaway'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Keenan Wynn', '/people/person/places_lived./people/place_lived/location', 'New York City', '/sports/sports_team_location/teams', 'New York Yankees', '/sports/professional_sports_team/draft_picks./sports/sports_league_draft_pick/school', 'Florida State University', '/education/educational_institution/students_graduates./education/education/student', 'Faye Dunaway']
848,561
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/people/person/profession', 'television producer', '/dataworld/gardening_hint/split_to', '<mask>', '<mask>', 'television producer', '/dataworld/gardening_hint/split_to', 'television producer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Mike Scully', '/people/person/profession', 'television producer', '/dataworld/gardening_hint/split_to', 'television producer', '/dataworld/gardening_hint/split_to', 'television producer', '/dataworld/gardening_hint/split_to', 'television producer']
848,562
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Neil Ross', '<mask>', '<mask>', '/location/location/contains', 'Little Rock'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Neil Ross', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Little Rock']
848,563
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['trumpet', '/music/performance_role/regular_performances./music/group_membership/role', 'electric guitar', '/music/performance_role/guest_performances./music/recording_contribution/performance_role', 'acoustic guitar', '/music/performance_role/regular_performances./music/group_membership/role', 'banjo', '<mask>', 'double bass'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['trumpet', '/music/performance_role/regular_performances./music/group_membership/role', 'electric guitar', '/music/performance_role/guest_performances./music/recording_contribution/performance_role', 'acoustic guitar', '/music/performance_role/regular_performances./music/group_membership/role', 'banjo', '/music/performance_role/track_performances./music/track_contribution/role', 'double bass']
848,564
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Ray Heindorf', '/people/deceased_person/place_of_death', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Ray Heindorf', '/people/deceased_person/place_of_death', 'Tarzana']
848,565
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Washington Nationals', '<mask>', '2009 Major League Baseball season'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Washington Nationals', '/baseball/baseball_team/team_stats./baseball/baseball_team_stats/season', '2009 Major League Baseball season']
848,566
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Honshu', '/location/location/contains', '<mask>', '/base/aareas/schema/administrative_area/administrative_parent', 'Japan', '<mask>', '1994 Winter Olympics', '/user/jg/default_domain/olympic_games/sports', 'bobsleigh'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Honshu', '/location/location/contains', 'Miyagi Prefecture', '/base/aareas/schema/administrative_area/administrative_parent', 'Japan', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '1994 Winter Olympics', '/user/jg/default_domain/olympic_games/sports', 'bobsleigh']
848,567
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Grammy Award for Best New Artist', '/award/award_category/winners./award/award_honor/ceremony', '1996 Grammy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'John Lee Hooker', '/people/person/nationality', '<mask>', '/location/location/contains', 'Jackson State University'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Grammy Award for Best New Artist', '/award/award_category/winners./award/award_honor/ceremony', '1996 Grammy Awards', '/award/award_ceremony/awards_presented./award/award_honor/award_winner', 'John Lee Hooker', '/people/person/nationality', 'United States of America', '/location/location/contains', 'Jackson State University']
848,568
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence 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 Newman', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Road to Perdition', '/film/film/produced_by', '<mask>', '/people/person/profession', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Thomas Newman', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Road to Perdition', '/film/film/produced_by', 'Sam Mendes', '/people/person/profession', 'theatrical director']
848,569
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence 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>', 'screenwriter', '/people/profession/specialization_of', 'writer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Melvin Van Peebles', '/people/person/profession', 'screenwriter', '/people/profession/specialization_of', 'writer']
848,570
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Niagara County', '/location/location/time_zones', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Niagara County', '/location/location/time_zones', 'Eastern Time Zone']
848,571
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Scream 3', '<mask>', '<mask>', '/media_common/netflix_genre/titles', 'Saboteur', '/film/film/country', 'United States of America', '<mask>', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Scream 3', '/film/film/genre', 'mystery fiction', '/media_common/netflix_genre/titles', 'Saboteur', '/film/film/country', 'United States of America', '/location/location/contains', 'University of California, Berkeley, School of Law']
848,572
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'visual effects'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Alexander', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'visual effects']
848,573
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence 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>', 'cornet', '/music/performance_role/regular_performances./music/group_membership/role', 'guitar', '<mask>', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Best Rock Instrumental Performance'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Louis Armstrong', '/music/artist/track_contributions./music/track_contribution/role', 'cornet', '/music/performance_role/regular_performances./music/group_membership/role', 'guitar', '/music/performance_role/regular_performances./music/group_membership/group', 'Yes', '/award/award_nominee/award_nominations./award/award_nomination/award', 'Grammy Award for Best Rock Instrumental Performance']
848,574
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['London Film Critics Circle Award for Director of the Year', '/award/award_category/nominees./award/award_nomination/nominated_for', '<mask>', '/award/award_winning_work/awards_won./award/award_honor/honored_for', '<mask>', '<mask>', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['London Film Critics Circle Award for Director of the Year', '/award/award_category/nominees./award/award_nomination/nominated_for', 'The Quiet American', '/award/award_winning_work/awards_won./award/award_honor/honored_for', 'Gangs of New York', '/film/film/estimated_budget./measurement_unit/dated_money_value/currency', 'United States dollar']
848,575
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Gretchen Mol', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Charlie Cox', '/award/award_winner/awards_won./award/award_honor/award_winner', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Paz de la Huerta'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Kelly Macdonald', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Gretchen Mol', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Charlie Cox', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Steve Buscemi', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Paz de la Huerta']
848,576
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Montpellier Hérault Sport Club', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', '<mask>', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'midfielder'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Montpellier Hérault Sport Club', '/soccer/football_team/current_roster./sports/sports_team_roster/position', 'forward', '/sports/sports_position/players./sports/sports_team_roster/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'San Juan Jabloteh', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'midfielder']
848,577
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ["Charlie Wilson's War", '/film/film/production_companies', 'Universal Pictures', '<mask>', '<mask>', '/film/film/story_by', 'Hunter S. Thompson', '/people/person/places_lived./people/place_lived/location', 'Louisville'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
["Charlie Wilson's War", '/film/film/production_companies', 'Universal Pictures', '/film/film_distributor/films_distributed./film/film_film_distributor_relationship/film', 'Fear and Loathing in Las Vegas', '/film/film/story_by', 'Hunter S. Thompson', '/people/person/places_lived./people/place_lived/location', 'Louisville']
848,578
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Don Heck', '/people/person/place_of_birth', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Don Heck', '/people/person/place_of_birth', 'Jamaica']
848,579
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence 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 Help', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', '<mask>', '/location/location/contains', 'Newcastle', '/base/biblioness/bibs_location/country', 'Australia', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '1948 Summer Olympics'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['The Help', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'Australia', '/location/location/contains', 'Newcastle', '/base/biblioness/bibs_location/country', 'Australia', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '1948 Summer Olympics']
848,580
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Cave of Forgotten Dreams', '/film/film/language', '<mask>', '/language/human_language/countries_spoken_in', '<mask>', '/location/statistical_region/religions./location/religion_percentage/religion', 'Christianity'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Cave of Forgotten Dreams', '/film/film/language', 'English', '/language/human_language/countries_spoken_in', 'Laos', '/location/statistical_region/religions./location/religion_percentage/religion', 'Christianity']
848,581
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Tim Bevan', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', '<mask>', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America', '<mask>', 'Roanoke', '/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|>
['Tim Bevan', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Atonement', '/film/film/release_date_s./film/film_regional_release_date/film_release_region', 'United States of America', '/location/country/second_level_divisions', 'Roanoke', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
848,582
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['bagpipes', '/music/performance_role/track_performances./music/track_contribution/role', 'drum', '/music/instrument/instrumentalists', '<mask>', '<mask>', 'drum kit'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['bagpipes', '/music/performance_role/track_performances./music/track_contribution/role', 'drum', '/music/instrument/instrumentalists', 'Don Henley', '/music/group_member/membership./music/group_membership/role', 'drum kit']
848,583
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['California', '<mask>', 'Thousand Oaks', '/base/biblioness/bibs_location/country', 'United States of America', '/location/location/contains', '<mask>', '/education/university/domestic_tuition./measurement_unit/dated_money_value/currency', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['California', '/location/location/contains', 'Thousand Oaks', '/base/biblioness/bibs_location/country', 'United States of America', '/location/location/contains', 'Colgate University', '/education/university/domestic_tuition./measurement_unit/dated_money_value/currency', 'United States dollar']
848,584
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['FCI Levadia Tallinn', '/soccer/football_team/current_roster./soccer/football_roster_position/position', '<mask>', '/sports/sports_position/players./sports/sports_team_roster/team', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['FCI Levadia Tallinn', '/soccer/football_team/current_roster./soccer/football_roster_position/position', 'defender', '/sports/sports_position/players./sports/sports_team_roster/team', 'SSC Bari']
848,585
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Cache County', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Cache County', '/location/hud_foreclosure_area/estimated_number_of_mortgages./measurement_unit/dated_integer/source', 'United States Department of Housing and Urban Development']
848,586
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Cooper Union', '<mask>', 'Cooper Union', '/education/educational_institution/students_graduates./education/education/student', '<mask>', '<mask>', 'writer'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Cooper Union', '/education/educational_institution_campus/educational_institution', 'Cooper Union', '/education/educational_institution/students_graduates./education/education/student', 'Bob Kane', '/people/person/profession', 'writer']
848,587
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Titus Welliver', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>', '<mask>', 'The Crucible', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'special effects supervisor'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Titus Welliver', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Jeffrey Jones', '/film/actor/film./film/performance/film', 'The Crucible', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'special effects supervisor']
848,588
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Dreamgirls', '/film/film/other_crew./film/film_crew_gig/film_crew_role', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Dreamgirls', '/film/film/other_crew./film/film_crew_gig/film_crew_role', 'make-up artist']
848,589
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Sega', '/base/schemastaging/organization_extra/phone_number./base/schemastaging/phone_sandbox/service_location', 'Belgium', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '1996 Summer Olympics', '<mask>', '<mask>', '<mask>', 'Turkey'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Sega', '/base/schemastaging/organization_extra/phone_number./base/schemastaging/phone_sandbox/service_location', 'Belgium', '/olympics/olympic_participating_country/medals_won./olympics/olympic_medal_honor/olympics', '1996 Summer Olympics', '/olympics/olympic_games/sports', 'judo', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/country', 'Turkey']
848,590
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['freestyle wrestling', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/country', 'Azerbaijan', '<mask>', 'unitary state'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['freestyle wrestling', '/olympics/olympic_sport/athletes./olympics/olympic_athlete_affiliation/country', 'Azerbaijan', '/location/country/form_of_government', 'unitary state']
848,591
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence 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 Surreal Life', '<mask>', 'reality television'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['The Surreal Life', '/tv/tv_program/genre', 'reality television']
848,592
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Grammy Award for Best Score Soundtrack for Visual Media', '/award/award_category/winners./award/award_honor/award_winner', 'Atticus Ross', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Trent Reznor', '/music/artist/track_contributions./music/track_contribution/role', 'sampler', '<mask>', 'keyboard instrument'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Grammy Award for Best Score Soundtrack for Visual Media', '/award/award_category/winners./award/award_honor/award_winner', 'Atticus Ross', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Trent Reznor', '/music/artist/track_contributions./music/track_contribution/role', 'sampler', '/music/performance_role/track_performances./music/track_contribution/role', 'keyboard instrument']
848,593
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Eileen Brennan', '<mask>', 'The Last Picture Show', '<mask>', '<mask>', '<mask>', 'Die Another Day', '/film/film/language', 'English'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Eileen Brennan', '/film/actor/film./film/performance/film', 'The Last Picture Show', '/film/film/production_companies', 'Columbia Pictures', '/film/film_distributor/films_distributed./film/film_film_distributor_relationship/film', 'Die Another Day', '/film/film/language', 'English']
848,594
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['<mask>', '/people/ethnicity/languages_spoken', 'Spanish', '/media_common/netflix_genre/titles', 'All About My Mother', '/film/film/country', 'Spain', '/location/statistical_region/gdp_nominal_per_capita./measurement_unit/dated_money_value/currency', 'United States dollar'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Mexican Americans', '/people/ethnicity/languages_spoken', 'Spanish', '/media_common/netflix_genre/titles', 'All About My Mother', '/film/film/country', 'Spain', '/location/statistical_region/gdp_nominal_per_capita./measurement_unit/dated_money_value/currency', 'United States dollar']
848,595
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence 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 Stone', '/people/person/place_of_birth', 'Houston', '/location/capital_of_administrative_division/capital_of./location/administrative_division_capital_relationship/administrative_division', 'Harris County', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Matt Stone', '/people/person/place_of_birth', 'Houston', '/location/capital_of_administrative_division/capital_of./location/administrative_division_capital_relationship/administrative_division', 'Harris County', '/location/statistical_region/rent50_2./measurement_unit/dated_money_value/currency', 'United States dollar']
848,596
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Orange County', '/location/location/contains', 'Santa Ana', '<mask>', 'Orange County', '/location/location/contains', 'Costa Mesa'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Orange County', '/location/location/contains', 'Santa Ana', '/location/capital_of_administrative_division/capital_of./location/administrative_division_capital_relationship/administrative_division', 'Orange County', '/location/location/contains', 'Costa Mesa']
848,597
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['asthma', '/medicine/disease/risk_factors', 'Filipino Americans', '/people/ethnicity/people', '<mask>', '<mask>', 'Honolulu', '/location/location/contains', 'Punahou School'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['asthma', '/medicine/disease/risk_factors', 'Filipino Americans', '/people/ethnicity/people', 'Bruno Mars', '/people/person/place_of_birth', 'Honolulu', '/location/location/contains', 'Punahou School']
848,598
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence 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_nominee/award_nominations./award/award_nomination/award_nominee', '<mask>', '/award/award_winner/awards_won./award/award_honor/award_winner', '<mask>', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Coriolanus'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Evangeline Lilly', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Brian Geraghty', '/award/award_nominee/award_nominations./award/award_nomination/award_nominee', 'Anthony Mackie', '/award/award_winner/awards_won./award/award_honor/award_winner', 'Ralph Fiennes', '/award/award_nominee/award_nominations./award/award_nomination/nominated_for', 'Coriolanus']
848,599
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are an expert in Wikipedia. You can predict the correct relations or entities in a Wikipedia knowledge graph wherever a '<mask>' is present. <|eot_id|><|start_header_id|>user<|end_header_id|> Complete the sequence below by filling in the <mask> token with the correct relation or entity from the Wikipedia knowledge graph. Do not include any extra text. ['Chris Cooper', '/film/actor/film./film/performance/film', 'The Bourne Supremacy', '/film/film/genre', 'mystery fiction', '/media_common/netflix_genre/titles', 'The Conversation', '/film/film/language', '<mask>'] <|eot_id|><|start_header_id|>assistant<|end_header_id|>
['Chris Cooper', '/film/actor/film./film/performance/film', 'The Bourne Supremacy', '/film/film/genre', 'mystery fiction', '/media_common/netflix_genre/titles', 'The Conversation', '/film/film/language', 'English']