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dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "&ME", "Filling_Up_with_Heaven", "Ikujinashi_Masquerade" ], "valid_edges": [ [ "&ME", "country", "Germany" ], [ "C._C._Catch", "genre", "Synthpop" ], [ "C._C._Catch", "hometown", "Germany" ], [ "Fil...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "(Ain't_Nobody_Loves_You)_Like_I_Do", "Jerel_Ifil", "Yoo_Ho-jeong" ], "valid_edges": [ [ "(Ain't_Nobody_Loves_You)_Like_I_Do", "recordLabel", "RCA_Records" ], [ "1984_(song)", "recordLabel", "RCA_Records" ], [ "1984_(song)",...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "(I_Know)_I'm_Losing_You", "Cornelius_Grant", "You're_My_Everything_(The_Temptations_song)" ], "valid_edges": [ [ "(I_Know)_I'm_Losing_You", "writer", "Cornelius_Grant" ], [ "You're_My_Everything_(The_Temptations_song)", "writer", "Cornel...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "(I_Know)_I'm_Losing_You", "Get_Ready_(The_Temptations_song)", "You're_My_Everything_(The_Temptations_song)" ], "valid_edges": [ [ "(I_Know)_I'm_Losing_You", "previousWork", "Get_Ready_(The_Temptations_song)" ], [ "(I_Know)_I'm_Losing_You", "wr...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "(You_Can_Still)_Rock_in_America", "Madina_Lake", "Maine_State_Route_6" ], "valid_edges": [ [ "(You_Can_Still)_Rock_in_America", "genre", "Heavy_metal_music" ], [ "Asking_Too_Much", "genre", "Heavy_metal_music" ], [ "Asking_...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "106th_Infantry_Division_(United_States)", "Kashan_County", "Western_Desert_Campaign" ], "valid_edges": [ [ "106th_Infantry_Division_(United_States)", "battle", "Western_Allied_invasion_of_Germany" ], [ "Dom_people", "populationPlace", "I...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "12-Bar_Original", "Andy_Wright_(music_producer)", "Winnipeg" ], "valid_edges": [ [ "12-Bar_Original", "recordLabel", "Apple_Records" ], [ "Apple_Records", "distributingCompany", "Capitol_Records" ], [ "Apple_Records", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "12_Discípulos", "A_Summer_Best", "Belizean_Americans" ], "valid_edges": [ [ "12_Discípulos", "genre", "Hip_hop_music" ], [ "A_Summer_Best", "genre", "Synthpop" ], [ "A_força_está_em_nós", "genre", "Hip_hop_music...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "192.com", "Lil_Zane", "Orlando,_Florida" ], "valid_edges": [ [ "192.com", "location", "London" ], [ "Bella_Union", "genre", "Hip_hop_music" ], [ "Bella_Union", "location", "London" ], [ "Hip_Hop_Hi...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "1973–74_Cardiff_City_F.C._season", "Colin_Gordon_(footballer)", "Stourbridge" ], "valid_edges": [ [ "1973–74_Cardiff_City_F.C._season", "currentMember", "Gary_Bell_(footballer)" ], [ "Colin_Gordon_(footballer)", "birthPlace", "Stourbridg...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "1984_(song)", "Jeremiah_Ani", "Scotland_national_under-16_football_team" ], "valid_edges": [ [ "1984_(song)", "recordedIn", "London" ], [ "Adem_Poric", "birthPlace", "London" ], [ "Adem_Poric", "team", "Rotherha...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "1989_German_Grand_Prix", "Fürth_(district)", "Vitalie_Pîrlog" ], "valid_edges": [ [ "1989_German_Grand_Prix", "location", "Hockenheimring" ], [ "1998_German_Grand_Prix", "country", "Germany" ], [ "1998_German_Grand_Prix", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "1990-Sick", "Let_Me_Go_(Cake_song)", "Rata_Blanca" ], "valid_edges": [ [ "1990-Sick", "genre", "Gangsta_rap" ], [ "Asking_Too_Much", "format", "Compact_disc" ], [ "Asking_Too_Much", "genre", "Heavy_metal_music" ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "1993–94_Sheffield_United_F.C._season", "Aly_Camara", "Sid_Ottewell" ], "valid_edges": [ [ "1993–94_Sheffield_United_F.C._season", "manager", "Dave_Bassett" ], [ "Aly_Camara", "team", "Army_United_F.C." ], [ "Dave_Bassett", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "1997–98_Sunderland_A.F.C._season", "Brian_McLaughlin_(footballer,_born_1954)", "Martin_Hyský" ], "valid_edges": [ [ "1997–98_Sunderland_A.F.C._season", "team", "Sunderland_A.F.C." ], [ "Billy_Cook_(footballer,_born_1909)", "managerClub", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "1st_Provisional_Marine_Brigade", "People's_Army_of_Vietnam", "Vietnam_Coast_Guard" ], "valid_edges": [ [ "1st_Provisional_Marine_Brigade", "militaryBranch", "Active_duty" ], [ "General_Staff_of_the_Vietnam_People's_Army", "commandStructure", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2-4_Family", "Hit_the_City", "I'll_Come_Runnin'" ], "valid_edges": [ [ "2-4_Family", "genre", "Hip_hop_music" ], [ "Ain't_Nuttin'_But_Music", "format", "Compact_disc" ], [ "Ain't_Nuttin'_But_Music", "genre", "Hi...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "20/20_(Dilated_Peoples_album)", "Okanogan,_Washington", "Steve_Chandra_Savale" ], "valid_edges": [ [ "1_(Beatles_album)", "recordLabel", "Capitol_Records" ], [ "1_(Beatles_album)", "recordedIn", "London" ], [ "20/20_(Dilate...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2001–02_Mersin_İdmanyurdu_season", "Octavian_Popescu", "Pazarspor" ], "valid_edges": [ [ "2001–02_Mersin_İdmanyurdu_season", "team", "Mersin_İdmanyurdu" ], [ "Mehmet_Budak", "team", "Mersin_İdmanyurdu" ], [ "Mehmet_Budak", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2002–03_Sunderland_A.F.C._season", "2003–04_Juventus_F.C._season", "Enrico_Fantini" ], "valid_edges": [ [ "2002–03_Sunderland_A.F.C._season", "team", "Sunderland_A.F.C." ], [ "2003–04_Juventus_F.C._season", "team", "Juventus_F.C." ],...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2002–03_Sunderland_A.F.C._season", "Brett_Ormerod", "Ettore_Mendicino" ], "valid_edges": [ [ "2002–03_Sunderland_A.F.C._season", "team", "Sunderland_A.F.C." ], [ "Alan_Hutton", "team", "Nottingham_Forest_F.C." ], [ "Alan_Hu...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2002–03_Sunderland_A.F.C._season", "Curtis_McDonald", "Morten_Moldskred" ], "valid_edges": [ [ "2002–03_Sunderland_A.F.C._season", "team", "Sunderland_A.F.C." ], [ "Curtis_McDonald", "team", "Newport_County_A.F.C." ], [ "Jo...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2003_German_Grand_Prix", "Charles_W._Ryder", "Strangers'_Thoughts_(song)" ], "valid_edges": [ [ "2003_German_Grand_Prix", "country", "Germany" ], [ "2003_German_Grand_Prix", "location", "Germany" ], [ "C._C._Catch", "...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2004_German_Grand_Prix", "Alen_Pamić", "Serhiy_Lyulka" ], "valid_edges": [ [ "2004_German_Grand_Prix", "country", "Germany" ], [ "2004_German_Grand_Prix", "firstDriverCountry", "Germany" ], [ "2004_German_Grand_Prix", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2006_Lebanon_War", "FC_Borysfen_Boryspil", "FK_Gostivar" ], "valid_edges": [ [ "Andriy_Kyrlyk", "birthPlace", "Soviet_Union" ], [ "Andriy_Kyrlyk", "team", "FC_Borysfen_Boryspil" ], [ "Bilal_Velija", "team", "Bes...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2006–07_Crystal_Palace_F.C._season", "2006–07_Football_League", "2006–07_Hull_City_A.F.C._season" ], "valid_edges": [ [ "2006–07_Crystal_Palace_F.C._season", "position", "2006–07_Football_League" ], [ "2006–07_Hull_City_A.F.C._season", "positi...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2007_European_Grand_Prix", "Dance_music", "Yum_Jung-ah" ], "valid_edges": [ [ "2007_European_Grand_Prix", "country", "Germany" ], [ "2007_European_Grand_Prix", "location", "Germany" ], [ "A_Letter_from_Greenland", "ar...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2009_(Glee)", "Got_Me_Wrong", "Oakwood,_Georgia" ], "valid_edges": [ [ "2009_(Glee)", "musicComposer", "I_Kissed_a_Girl" ], [ "Alice_in_Chains", "associatedBand", "Alice_in_Chains" ], [ "Alice_in_Chains", "associatedM...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2009–10_Chelsea_F.C._season", "England_national_football_team", "Niall_Quinn" ], "valid_edges": [ [ "2009–10_Chelsea_F.C._season", "league", "2009–10_Premier_League" ], [ "2009–10_Sunderland_A.F.C._season", "chairman", "Niall_Quinn" ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2012_Chicago_Fire_season", "2013_Chicago_Fire_season", "2014_Chicago_Fire_season" ], "valid_edges": [ [ "2012_Chicago_Fire_season", "successor", "2013_Chicago_Fire_season" ], [ "2013_Chicago_Fire_season", "predecessor", "2012_Chicago_Fir...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2012_in_spaceflight", "Luisito_Campisi", "Tomáš_Řepka" ], "valid_edges": [ [ "2012_in_spaceflight", "countryWithFirstSatellite", "Poland" ], [ "Antonio_Dell'Oglio", "team", "ACF_Fiorentina" ], [ "Antonio_Dell'Oglio", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2012–13_Alemannia_Aachen_season", "Capellen_(canton)", "Özer_Hurmacı" ], "valid_edges": [ [ "2012–13_Alemannia_Aachen_season", "team", "Alemannia_Aachen" ], [ "Alper_Uludağ", "team", "Alemannia_Aachen" ], [ "Alper_Uludağ", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2012–13_FC_Energie_Cottbus_season", "Big_Time_Rush", "Valenciennes_FC" ], "valid_edges": [ [ "2012–13_FC_Energie_Cottbus_season", "ground", "Germany" ], [ "2012–13_FC_Energie_Cottbus_season", "homeStadium", "Germany" ], [ "...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2014_British_Grand_Prix", "2014_Singapore_Grand_Prix", "Daniel_Ricciardo" ], "valid_edges": [ [ "2014_British_Grand_Prix", "thirdDriver", "Daniel_Ricciardo" ], [ "2014_Singapore_Grand_Prix", "thirdDriver", "Daniel_Ricciardo" ] ], ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2014–15_2._Bundesliga", "Margaret_Scobey", "Wickede" ], "valid_edges": [ [ "2012–13_SV_Sandhausen_season", "ground", "Germany" ], [ "2012–13_SV_Sandhausen_season", "homeStadium", "Germany" ], [ "2012–13_SV_Sandhausen_season...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2014–15_Ergotelis_F.C._season", "Arjan_Xhumba", "Widzew_Łódź" ], "valid_edges": [ [ "2013–14_Ergotelis_F.C._season", "manager", "Marinos_Ouzounidis" ], [ "2013–14_Ergotelis_F.C._season", "successor", "2014–15_Ergotelis_F.C._season" ]...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2014–15_Serbian_First_League", "FK_Mladi_Radnik", "List_of_Russian_football_transfers_summer_2010" ], "valid_edges": [ [ "Bojan_Mišić", "team", "FK_Kolubara" ], [ "Bojan_Mišić", "team", "FK_Mladi_Radnik" ], [ "Bojan_Mišić",...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2014–15_Serie_B", "Stefano_Pietribiasi", "Walter_Chiarella" ], "valid_edges": [ [ "Calcio_Catania", "season", "2014–15_Serie_B" ], [ "César_Cervo_Luca", "team", "Calcio_Catania" ], [ "César_Cervo_Luca", "team", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2015–16_Swindon_Town_F.C._season", "Jennison_Myrie-Williams", "Ramrod_(EP)" ], "valid_edges": [ [ "2015–16_Swindon_Town_F.C._season", "league", "Football_League_One" ], [ "Deiniol_Graham", "team", "Carlisle_United_F.C." ], [ ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "20th-century_classical_music", "Mercedes-Benz_SSK", "Sachin–Jigar" ], "valid_edges": [ [ "2-4_Family", "genre", "Hip_hop_music" ], [ "2-4_Family", "hometown", "Germany" ], [ "Blak_Prophetz", "genre", "Hip_hop_mu...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "21os_Akatallilos", "Eric_Rigler", "Zee_Entertainment_Enterprises" ], "valid_edges": [ [ "21os_Akatallilos", "genre", "Dance_music" ], [ "Barndance_Boys", "genre", "Dance_music" ], [ "Barndance_Boys", "genre", "F...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "26th_Airborne_Brigade_(Bundeswehr)", "Eesti_Energia", "Sarah_Alexander" ], "valid_edges": [ [ "26th_Airborne_Brigade_(Bundeswehr)", "country", "Germany" ], [ "Bookatable", "location", "London" ], [ "Bookatable", "regi...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "26th_Airborne_Brigade_(Bundeswehr)", "Fred_Rose_(politician)", "Martin_Hyský" ], "valid_edges": [ [ "2012–13_FC_Energie_Cottbus_season", "ground", "Germany" ], [ "2012–13_FC_Energie_Cottbus_season", "homeStadium", "Germany" ], [ ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "26th_Airborne_Brigade_(Bundeswehr)", "Operation:_Livecrime", "Pure_Gold_Network" ], "valid_edges": [ [ "&ME", "country", "Germany" ], [ "&ME", "language", "English_language" ], [ "26th_Airborne_Brigade_(Bundeswehr)", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2_Different_Tears", "Chuck_Fenenbock", "Satellite_Sky" ], "valid_edges": [ [ "2_Different_Tears", "genre", "K-pop" ], [ "2_Different_Tears", "language", "Korean_language" ], [ "A_Letter_from_Greenland", "genre", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2_Different_Tears", "Gmina_Raszków", "Groovin'_High_(Booker_Ervin_album)" ], "valid_edges": [ [ "2_Different_Tears", "genre", "K-pop" ], [ "2_Different_Tears", "language", "Korean_language" ], [ "A_Letter_from_Greenland", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2_Different_Tears", "Head_Above_Water", "Lucky_You_(film)" ], "valid_edges": [ [ "2_Different_Tears", "language", "English_language" ], [ "Head_Above_Water", "musicComposer", "Christopher_Young" ], [ "Lucky_You_(film)", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2_Sisters_Food_Group", "Radio_Caroline_Volume_1", "Zorro_(1990_TV_series)" ], "valid_edges": [ [ "2_Sisters_Food_Group", "regionServed", "Poland" ], [ "A_força_está_em_nós", "genre", "Dance_music" ], [ "A_força_está_em_nós"...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "2wenty_2wo", "Serge_Sorokko", "Shawn_Chrystopher" ], "valid_edges": [ [ "2wenty_2wo", "producer", "Max_Matsuura" ], [ "A_Summer_Best", "genre", "Synthpop" ], [ "A_Summer_Best", "producer", "Max_Matsuura" ], ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "30_Years_of_Bananarama", "Bahmayi-ye_Sarhadi-ye_Gharbi_Rural_District", "Pain_Khiyaban-e_Litkuh_Rural_District" ], "valid_edges": [ [ "30_Years_of_Bananarama", "genre", "Dance_music" ], [ "Bahmayi-ye_Sarhadi-ye_Gharbi_Rural_District", "country...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "333_(album)", "75_Ark", "Regents_(band)" ], "valid_edges": [ [ "333_(album)", "genre", "Heavy_metal_music" ], [ "75_Ark", "genre", "Hip_hop_music" ], [ "Adult_Swim_Singles_Program_2010", "genre", "Heavy_metal_mu...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "3D_Systems", "Flirtin'_with_Disaster", "Phillip_Ingram" ], "valid_edges": [ [ "3D_Systems", "locationCity", "South_Carolina" ], [ "Derek_Roddy", "birthPlace", "South_Carolina" ], [ "Derek_Roddy", "instrument", "...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "3T", "Gmina_Golczewo", "Soul_Clap" ], "valid_edges": [ [ "3T", "recordLabel", "Sony_Music_Entertainment" ], [ "Abradab", "birthPlace", "Poland" ], [ "Abradab", "genre", "Hip_hop_music" ], [ "Abrada...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "4,_5_and_6", "Gmina_Aleksandrów_Łódzki", "Richard_Dedekind" ], "valid_edges": [ [ "4,_5_and_6", "genre", "Jazz" ], [ "Adzuna", "regionServed", "Germany" ], [ "Adzuna", "regionServed", "Poland" ], [ ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "486th_Fighter_Aviation_Regiment", "Andy_DeMize", "National_Velvet_(band)" ], "valid_edges": [ [ "486th_Fighter_Aviation_Regiment", "country", "Soviet_Union" ], [ "Ad-Rock", "instrument", "Drum_kit" ], [ "Ad-Rock", "re...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "4hero", "DJ_Lord", "Geek_Girl_(novel)" ], "valid_edges": [ [ "4hero", "genre", "Drum_and_bass" ], [ "DJ_Heavygrinder", "genre", "Drum_and_bass" ], [ "DJ_Heavygrinder", "occupation", "Model_(people)" ], [...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "50th_Army_(Soviet_Union)", "George_Doherty", "Hannibal_Lokumbe" ], "valid_edges": [ [ "50th_Army_(Soviet_Union)", "country", "Soviet_Union" ], [ "Allen_Toussaint", "birthPlace", "Louisiana" ], [ "Allen_Toussaint", "ge...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "54th_Army_(Soviet_Union)", "No_Better_Than_This", "Sean_Garrett" ], "valid_edges": [ [ "54th_Army_(Soviet_Union)", "country", "Soviet_Union" ], [ "Miri_Yusif", "birthPlace", "Soviet_Union" ], [ "Miri_Yusif", "genre", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "568_Group", "BellSouth", "Gary_Anthony_Sturgis" ], "valid_edges": [ [ "BellSouth", "location", "Georgia_(U.S._state)" ], [ "Dartmouth_College", "affiliation", "568_Group" ], [ "Gary_Anthony_Sturgis", "birthPlace", ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "56th_Guards_District_Training_Center", "FK_Andijan", "Nikolay_Mikhailovich_Gusarov" ], "valid_edges": [ [ "486th_Fighter_Aviation_Regiment", "country", "Soviet_Union" ], [ "56th_Guards_District_Training_Center", "country", "Soviet_Union"...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "5th_Cavalry_Regiment", "Fayetteville,_North_Carolina", "Rob_Atkinson_(surgeon)" ], "valid_edges": [ [ "519th_Military_Intelligence_Battalion_(United_States)", "battle", "Gulf_War" ], [ "519th_Military_Intelligence_Battalion_(United_States)", "...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "5th_Infantry_Brigade_(New_Zealand)", "Suhl", "Sylt_(municipality)" ], "valid_edges": [ [ "5th_Infantry_Brigade_(New_Zealand)", "battle", "North_African_Campaign" ], [ "Ernst_Bolbrinker", "battle", "North_African_Campaign" ], [ ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "604_Records", "Brenneke", "Star_Academy_Arab_World" ], "valid_edges": [ [ "2014_shootings_at_Parliament_Hill,_Ottawa", "residence", "British_Columbia" ], [ "2014_shootings_at_Parliament_Hill,_Ottawa", "residence", "Vancouver" ], ...
dbpedia50
You are given a directed graph as two CSV-like sections in this order: 1) Node table (header included): node_id, node_attr 2) Edge table (header included): src, edge_attr, dst Task - Use ONLY edges from the Edge table to answer the question by outputting a path. - When printing each ...
graph_path
{ "style": "rule" }
{ "entities": [ "63rd_Pennsylvania_Infantry", "7th_Pennsylvania_Reserve_Regiment", "Battle_of_Mine_Run" ], "valid_edges": [ [ "107th_Pennsylvania_Infantry", "battle", "Battle_of_Mine_Run" ], [ "107th_Pennsylvania_Infantry", "battle", "Battle_of_Totopotom...
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