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87
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metaqa
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": ["ENT12797", "ENT15911"], "valid_edges": [["ENT34", "REL8", "ENT16215"], ["ENT34", "REL9", "ENT12797"], ["ENT36533", "REL5", "ENT16215"], ["ENT36533", "REL8", "ENT15911"], ["ENT36533", "REL8", "ENT16215"]]}
metaqa
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": ["HELL TO ETERNITY", "ENT14378"], "valid_edges": [["HELL TO ETERNITY", "REL7", "ENT125"], ["HELL TO ETERNITY", "REL8", "JEFFREY HUNTER"], ["MURDER, INC.", "REL7", "ENT125"], ["MURDER, INC.", "REL8", "ENT14378"], ["ENT30459", "REL7", "ENT125"], ["ENT30459", "REL8", "JEFFREY HUNTER"]]}
metaqa
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": ["ENT113", "ENT38393"], "valid_edges": [["ENT24418", "REL7", "ENT113"], ["ENT24418", "REL8", "ENT7827"], ["THE BEST YEARS OF OUR LIVES", "REL5", "ENT7827"], ["THE BEST YEARS OF OUR LIVES", "REL5", "ENT38393"], ["THE BEST YEARS OF OUR LIVES", "REL8", "ENT7827"]]}
metaqa
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": ["ENT22089", "ENT28566"], "valid_edges": [["ENT2685", "has_genre", "ENT14733"], ["ENT2685", "in_language", "ENT16435"], ["ENT3085", "has_genre", "ENT14733"], ["ENT3085", "in_language", "ENT16435"], ["BATTLEFIELD BASEBALL", "has_genre", "ENT14733"], ["BATTLEFIELD BASEBALL", "in_language", "ENT16435"], ["ENT...
metaqa
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": ["ED GALE", "ENT27215"], "valid_edges": [["ENT12260", "has_genre", "ENT9752"], ["ENT14885", "REL5", "ENT12260"], ["ENT14885", "REL8", "ED GALE"], ["ENT27215", "has_genre", "ENT9752"]]}
metaqa
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": ["ENT15632", "ENT27457"], "valid_edges": [["ENT4239", "in_language", "ENT10611"], ["ENT4239", "REL7", "ENT185"], ["ENT4326", "in_language", "ENT10611"], ["ENT4326", "REL7", "ENT185"], ["ENT4441", "in_language", "ENT10611"], ["ENT4441", "REL7", "ENT185"], ["ENT6742", "has_genre", "ENT9307"], ["ENT6742", "in...
metaqa
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": ["ANA BUSTORFF", "ZOE SALDANA"], "valid_edges": [["ENT1548", "REL7", "ENT190"], ["ENT1548", "REL8", "ANA BUSTORFF"], ["ENT13560", "REL7", "ENT190"], ["ENT13560", "REL8", "ZOE SALDANA"]]}
metaqa
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": ["AFGHANISTAN", "AUGUSTO CAMINITO"], "valid_edges": [["THE MAN WHO WOULD BE KING", "REL5", "AFGHANISTAN"], ["THE MAN WHO WOULD BE KING", "REL5", "ENT6676"], ["THE MAN WHO WOULD BE KING", "REL8", "ENT6676"], ["ENT38278", "REL1", "AUGUSTO CAMINITO"], ["ENT38278", "REL8", "ENT6676"], ["ENT38278", "REL9", "AUG...
metaqa
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": ["ENT28023", "ENT34041"], "valid_edges": [["ENT28023", "REL8", "ENT38762"], ["ENT32572", "REL8", "ENT38762"], ["ENT32572", "REL8", "ENT38781"], ["ENT34041", "REL5", "ENT38781"], ["ENT34041", "REL8", "ENT38781"], ["ENT35511", "REL8", "ENT38762"], ["ENT35511", "REL8", "ENT38781"]]}
metaqa
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": ["ENT4641", "ENT37938"], "valid_edges": [["ENT4641", "has_genre", "ENT7161"], ["ENT24179", "has_genre", "ENT7161"], ["ENT24179", "REL8", "SERGIO CASTELLITTO"], ["ENT37938", "REL1", "SERGIO CASTELLITTO"], ["ENT37938", "REL9", "SERGIO CASTELLITTO"]]}
metaqa
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": ["ENT13143", "THE GREAT BUCK HOWARD"], "valid_edges": [["ENT4015", "REL5", "ENT17752"], ["ENT4015", "in_language", "ENT15722"], ["ENT4015", "REL8", "ENT17752"], ["ENT13143", "in_language", "ENT15722"], ["THE GREAT BUCK HOWARD", "REL8", "ENT17752"]]}
metaqa
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": ["ENT5452", "DAMIAN LEE"], "valid_edges": [["ENT378", "REL1", "DAMIAN LEE"], ["ENT378", "has_genre", "ENT845"], ["ENT378", "REL9", "DAMIAN LEE"], ["AGENT RED", "REL1", "DAMIAN LEE"], ["AGENT RED", "has_genre", "ENT845"], ["AGENT RED", "REL9", "DAMIAN LEE"], ["ENT20489", "has_genre", "ENT845"], ["ENT20489",...
metaqa
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": ["ENT22938", "SUBMERGED"], "valid_edges": [["ENT3625", "has_genre", "ENT11222"], ["ENT3625", "REL7", "ENT190"], ["ENT4547", "has_genre", "ENT11222"], ["ENT4547", "REL7", "ENT190"], ["ENT6258", "has_genre", "ENT11222"], ["ENT6258", "REL7", "ENT190"], ["HOODWINKED!", "has_genre", "ENT11222"], ["HOODWINKED!",...
metaqa
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": ["DANI BEHR", "ENT33583"], "valid_edges": [["ENT337", "REL5", "ENT2319"], ["ENT337", "REL7", "ENT167"], ["ENT2657", "REL5", "ENT2319"], ["ENT2657", "REL7", "ENT167"], ["GODZILLA", "REL7", "ENT167"], ["GODZILLA", "REL7", "2014"], ["ENT20631", "REL7", "ENT167"], ["ENT20631", "REL8", "DANI BEHR"], ["LIVING OU...
metaqa
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": ["FRAN WALSH", "ENT12181"], "valid_edges": [["ENT542", "has_genre", "ENT14733"], ["ENT542", "REL5", "ENT11838"], ["ENT542", "REL5", "ENT14733"], ["ENT1591", "has_genre", "ENT14733"], ["ENT1591", "REL5", "ENT11838"], ["ENT1591", "REL5", "ENT14733"], ["ALIENS", "REL5", "ENT11838"], ["ALIENS", "REL5", "ENT147...
metaqa
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": ["GOBLIN", "ENT16180"], "valid_edges": [["ENT29405", "REL1", "ENT16180"], ["ENT29405", "REL5", "ENT16180"], ["ENT29405", "REL7", "1977"], ["ENT32534", "REL5", "GOBLIN"], ["ENT32534", "REL7", "1977"]]}
metaqa
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": ["ENT23697", "ENT28822"], "valid_edges": [["A STUDY IN SCARLET", "REL5", "ENT3569"], ["A STUDY IN SCARLET", "REL9", "ENT28822"], ["ENT4212", "REL1", "ENT23697"], ["ENT4212", "REL5", "ENT3569"], ["ENT39208", "REL1", "ENT23697"], ["ENT39208", "REL5", "ENT3569"], ["ENT39208", "REL5", "ENT23697"]]}
metaqa
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": ["ENT4405", "ENT31614"], "valid_edges": [["ENT1057", "has_genre", "ENT14733"], ["ENT1057", "REL7", "ENT194"], ["ALBINO FARM", "has_genre", "ENT14733"], ["ALBINO FARM", "REL7", "ENT194"], ["ENT4405", "has_genre", "ENT14733"], ["ENT4406", "has_genre", "ENT14733"], ["ENT4406", "REL7", "ENT194"], ["BLUEBEARD",...
metaqa
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": ["NUCLEAR", "ENT32368"], "valid_edges": [["GODZILLA", "REL5", "GODZILLA"], ["GODZILLA", "REL5", "MONSTER"], ["GODZILLA", "REL5", "NUCLEAR"], ["MONSTER", "REL5", "ENT24310"], ["ENT32368", "REL5", "ENT24310"]]}
metaqa
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": ["ALISON BRIE", "MICHELE SOAVI"], "valid_edges": [["ENT5939", "REL1", "MICHELE SOAVI"], ["ENT5939", "has_genre", "ENT7161"], ["ENT12863", "has_genre", "ENT7161"], ["ENT12863", "REL8", "ALISON BRIE"], ["SLEEPING WITH OTHER PEOPLE", "has_genre", "ENT7161"], ["SLEEPING WITH OTHER PEOPLE", "REL8", "ALISON BRIE...
metaqa
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": ["ENT11652", "ENT20452"], "valid_edges": [["ENT320", "REL7", "ENT154"], ["ENT320", "REL8", "ENT20452"], ["ENT4450", "REL5", "ENT11652"], ["ENT4450", "REL7", "ENT154"]]}
metaqa
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": ["ENT6991", "THE INTENDED"], "valid_edges": [["ENT406", "in_language", "ENT10611"], ["ENT406", "REL7", "2013"], ["ENT1249", "in_language", "ENT10611"], ["ENT1249", "REL7", "2013"], ["ENT6991", "REL7", "2013"], ["ENT13033", "in_language", "ENT10611"], ["ENT13033", "REL7", "2013"], ["ENT13366", "in_language"...
metaqa
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": ["ENT4789", "ENT29928"], "valid_edges": [["ENT12589", "has_genre", "ENT845"], ["ENT12589", "REL9", "ENT4789"], ["ENT32910", "has_genre", "ENT845"], ["ENT32910", "REL5", "ENT29928"], ["ENT32910", "REL8", "ENT29928"]]}
metaqa
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": ["ENT15520", "MINAMI TAKAYAMA"], "valid_edges": [["GIRL", "has_genre", "ENT9752"], ["ENT15520", "has_genre", "ENT9752"], ["ENT19382", "REL5", "GIRL"], ["ENT19382", "REL8", "MINAMI TAKAYAMA"]]}
metaqa
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": ["ENT17133", "ENT24455"], "valid_edges": [["ENT554", "has_genre", "ENT9752"], ["ENT554", "REL7", "ENT109"], ["APOLLO 13", "has_genre", "ENT9752"], ["APOLLO 13", "REL5", "ENT9752"], ["APOLLO 13", "REL5", "MOON"], ["APOLLO 13", "REL9", "ENT17133"], ["ENT4001", "has_genre", "ENT9752"], ["ENT4001", "REL7", "EN...
metaqa
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": ["ENT17138", "ENT29197"], "valid_edges": [["ENT11045", "REL1", "ENT17138"], ["ENT11045", "has_genre", "ENT9752"], ["ENT11045", "REL9", "ENT17138"], ["STORMY WATERS", "has_genre", "ENT9752"], ["STORMY WATERS", "REL9", "ENT29197"]]}
metaqa
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": ["ENT22669", "MICKEY ROURKE"], "valid_edges": [["DESPERATE HOURS", "REL7", "ENT158"], ["DESPERATE HOURS", "REL8", "MICKEY ROURKE"], ["ENT39121", "REL1", "ENT22669"], ["ENT39121", "REL7", "ENT158"]]}
metaqa
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": ["FOUR WEDDINGS AND A FUNERAL", "ENT20010"], "valid_edges": [["ENT494", "has_genre", "ENT7161"], ["ENT494", "REL7", "1994"], ["ENT505", "has_genre", "ENT7161"], ["ENT505", "REL7", "1994"], ["ENT517", "has_genre", "ENT7161"], ["ENT517", "REL7", "1994"], ["ENT597", "has_genre", "ENT7161"], ["ENT597", "REL7",...
metaqa
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": ["ENT8594", "ENT11705"], "valid_edges": [["ENT8594", "REL7", "ENT157"], ["ENT11705", "REL5", "CLINT EASTWOOD"], ["ENT11705", "REL8", "CLINT EASTWOOD"], ["ENT27119", "REL7", "ENT157"], ["ENT27119", "REL8", "CLINT EASTWOOD"]]}
metaqa
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": ["ENT6575", "ENT7837"], "valid_edges": [["ENT9971", "REL1", "ENT7837"], ["ENT9971", "REL7", "ENT166"], ["ENT9971", "REL9", "ENT7837"], ["ENT38042", "REL7", "ENT166"], ["ENT38042", "REL8", "ENT6575"]]}
metaqa
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": ["ENT14231", "ENT27340"], "valid_edges": [["ENT1877", "REL5", "R"], ["ENT1877", "REL5", "ENT30448"], ["ENT3661", "REL5", "R"], ["ENT3661", "REL5", "ENT30448"], ["ENT6931", "REL5", "R"], ["ENT6931", "REL5", "ENT30448"], ["ENT8554", "REL5", "R"], ["ENT8554", "REL5", "ENT30448"], ["EUROPA EUROPA", "REL5", "R"...
metaqa
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": ["THE LOWER DEPTHS", "ENT35261"], "valid_edges": [["ENT14727", "REL1", "ENT29335"], ["ENT14727", "REL5", "CRITERION"], ["ENT14727", "REL5", "ENT29335"], ["THE LOWER DEPTHS", "REL5", "CRITERION"], ["ENT35261", "REL1", "ENT29335"], ["ENT35261", "REL5", "ENT29335"]]}
metaqa
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": ["CELEBRITY", "ENT38727"], "valid_edges": [["CELEBRITY", "REL7", "ENT167"], ["ENT8067", "REL7", "ENT114"], ["ENT8067", "REL7", "ENT167"], ["ENT24073", "REL7", "ENT114"], ["ENT24073", "REL7", "ENT167"], ["ENT38727", "REL7", "ENT114"]]}
metaqa
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": ["ATLANTA", "ENT7348"], "valid_edges": [["ENT28530", "has_genre", "ENT7161"], ["ENT28530", "REL5", "ATLANTA"], ["ENT36885", "has_genre", "ENT7161"], ["ENT36885", "REL9", "ENT7348"]]}
metaqa
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": ["JODHAA AKBAR", "ENT20823"], "valid_edges": [["JODHAA AKBAR", "REL5", "HISTORICAL"], ["ENT20823", "has_genre", "ENT24356"], ["ENT34989", "REL5", "HISTORICAL"], ["ENT34989", "REL5", "ENT24356"]]}
metaqa
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": ["ENT11262", "ENT31577"], "valid_edges": [["ENT172", "has_genre", "ENT9752"], ["ENT172", "REL7", "2007"], ["ENT515", "has_genre", "ENT9752"], ["ENT515", "REL7", "2007"], ["ACROSS THE UNIVERSE", "has_genre", "ENT9752"], ["ACROSS THE UNIVERSE", "REL7", "2007"], ["ENT1858", "has_genre", "ENT9752"], ["ENT1858"...
metaqa
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": ["MACK CRANE", "ENT27976"], "valid_edges": [["ENT4608", "has_genre", "ENT9752"], ["ENT4608", "REL9", "MACK CRANE"], ["ENT27458", "has_genre", "ENT9752"], ["ENT27458", "REL7", "ENT190"], ["ENT27458", "REL9", "ENT27976"], ["ENT33383", "REL1", "ENT27976"], ["ENT33383", "has_genre", "ENT9752"], ["ENT33383", "R...
metaqa
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": ["ELLEN SANDWEISS", "THE NEWEST PLEDGE"], "valid_edges": [["ENT149", "has_genre", "ENT7161"], ["A THOUSAND WORDS", "has_genre", "ENT7161"], ["A THOUSAND WORDS", "REL7", "ENT197"], ["ENT819", "has_genre", "ENT7161"], ["ENT819", "REL7", "ENT197"], ["ENT3424", "has_genre", "ENT7161"], ["ENT3424", "REL7", "ENT...
metaqa
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": ["ENT9425", "JOHN BOORMAN"], "valid_edges": [["ENT3271", "REL5", "ENT3569"], ["ENT3271", "REL9", "ENT9425"], ["ENT8828", "REL1", "JOHN BOORMAN"], ["ENT8828", "REL5", "ENT3569"], ["ENT8828", "REL5", "JOHN BOORMAN"]]}
metaqa
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": ["DAS BOOT", "ENT24580"], "valid_edges": [["ENT149", "REL7", "ENT194"], ["DAS BOOT", "REL7", "ENT149"], ["ENT32376", "REL7", "ENT194"], ["ENT32376", "REL8", "ENT24580"]]}
metaqa
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": ["ENT14294", "ENT25080"], "valid_edges": [["ENT4471", "REL5", "ENT8904"], ["ENT4471", "REL7", "ENT154"], ["ENT4471", "REL8", "ENT8904"], ["ENT14294", "REL5", "ENT8904"], ["HOOSIERS", "REL5", "ENT8904"], ["HOOSIERS", "REL7", "ENT154"], ["HOOSIERS", "REL8", "ENT8904"], ["ENT25080", "REL7", "ENT154"], ["ENT28...
metaqa
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": ["BIG STAN", "ENT32181"], "valid_edges": [["ENT248", "REL5", "ENT786"], ["ENT248", "REL7", "2007"], ["ENT1968", "REL5", "ENT37867"], ["ENT1968", "REL7", "2007"], ["BIG STAN", "REL7", "2007"], ["ENT4814", "REL5", "ENT37867"], ["ENT4814", "REL7", "2007"], ["CHARLIE WILSON'S WAR", "REL5", "ENT37867"], ["CHARL...
metaqa
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": ["ENT23641", "ENT30821"], "valid_edges": [["A FEW GOOD MEN", "has_genre", "ENT9752"], ["A FEW GOOD MEN", "REL5", "ENT9752"], ["A FEW GOOD MEN", "REL7", "1992"], ["ENT473", "has_genre", "ENT9752"], ["ENT473", "REL5", "ENT9752"], ["ENT473", "REL7", "1992"], ["ENT570", "has_genre", "ENT9752"], ["ENT570", "REL...
metaqa
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": ["ENT8674", "ENT26422"], "valid_edges": [["ENT25692", "has_genre", "ENT24356"], ["ENT25692", "REL8", "ENT8674"], ["PARIS BLUES", "has_genre", "ENT24356"], ["PARIS BLUES", "REL8", "ENT26422"]]}
metaqa
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": ["STEPHANIE BEACHAM", "ENT37469"], "valid_edges": [["ENT9727", "has_genre", "ENT14733"], ["ENT9727", "REL8", "STEPHANIE BEACHAM"], ["ENT32138", "has_genre", "ENT14733"], ["ENT32138", "REL8", "ENT37469"]]}
metaqa
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": ["ALAN CUMMING", "ENT29397"], "valid_edges": [["BOOGIE WOOGIE", "REL8", "ALAN CUMMING"], ["BOOGIE WOOGIE", "REL8", "ENT14190"], ["ENT26650", "REL8", "ENT14190"], ["ENT26650", "REL8", "ENT29397"]]}
metaqa
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": ["ENT26845", "ENT33800"], "valid_edges": [["ENT51", "has_genre", "ENT14733"], ["ENT51", "REL7", "ENT125"], ["ENT4308", "has_genre", "ENT14733"], ["ENT4308", "REL7", "ENT125"], ["ENT6750", "has_genre", "ENT14733"], ["ENT6750", "REL7", "ENT125"], ["ENT7387", "has_genre", "ENT14733"], ["ENT7387", "REL5", "ENT...
metaqa
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": ["ENT5636", "ENT25344"], "valid_edges": [["ENT28275", "REL1", "ENT25344"], ["ENT28275", "REL7", "ENT116"], ["ENT36627", "REL7", "ENT116"], ["ENT36627", "REL8", "ENT5636"]]}
metaqa
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": ["AMANDA BEARSE", "ENT27798"], "valid_edges": [["ENT460", "has_genre", "ENT14733"], ["ENT460", "REL7", "ENT195"], ["ENT542", "has_genre", "ENT14733"], ["ENT542", "REL5", "ENT14733"], ["ENT542", "REL7", "ENT195"], ["ALICE IN MURDERLAND", "has_genre", "ENT14733"], ["ALICE IN MURDERLAND", "REL7", "ENT195"], [...
metaqa
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": ["GUILLERMO DÍAZ", "ENT14589"], "valid_edges": [["PRINCESS MONONOKE", "REL5", "ENT9752"], ["PRINCESS MONONOKE", "REL5", "ENT14589"], ["ENT32159", "has_genre", "ENT9752"], ["ENT32159", "REL8", "GUILLERMO DÍAZ"]]}
metaqa
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": ["ENT4810", "SHANE SALERNO"], "valid_edges": [["ENT24761", "REL5", "ENT4810"], ["ENT24761", "REL7", "ENT197"], ["ENT30108", "REL7", "ENT197"], ["ENT30108", "REL9", "SHANE SALERNO"]]}
metaqa
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": ["ENT27268", "THE BALLAD OF NESSIE"], "valid_edges": [["ENT4678", "has_genre", "ENT9307"], ["ENT4678", "has_genre", "ENT30881"], ["ENT15021", "has_genre", "ENT9307"], ["ENT15021", "has_genre", "ENT30881"], ["ENT25065", "has_genre", "ENT9307"], ["ENT25065", "has_genre", "ENT30881"], ["ENT25065", "REL5", "EN...
metaqa
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": ["ENT14907", "I JUST DIDN'T DO IT"], "valid_edges": [["A SCENE AT THE SEA", "in_language", "ENT16435"], ["A SCENE AT THE SEA", "REL7", "ENT160"], ["ENT13179", "in_language", "ENT16435"], ["ENT13179", "REL7", "ENT160"], ["ENT14907", "REL7", "ENT160"], ["I JUST DIDN'T DO IT", "in_language", "ENT16435"], ["EN...
metaqa
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": ["ENT619", "ENT8001"], "valid_edges": [["ENT181", "has_genre", "ENT9752"], ["ENT181", "REL8", "BETTE DAVIS"], ["ENT619", "REL1", "ENT7627"], ["ENT619", "has_genre", "ENT9752"], ["ENT619", "REL7", "ENT110"], ["ENT619", "REL8", "BETTE DAVIS"], ["ENT619", "REL8", "ENT13098"], ["ENT619", "REL8", "ENT38762"], [...
metaqa
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": ["ENT4661", "ELIZABETH PAGE"], "valid_edges": [["ENT27413", "has_genre", "ENT38813"], ["ENT27413", "REL9", "ENT4661"], ["THE HOWARDS OF VIRGINIA", "has_genre", "ENT38813"], ["THE HOWARDS OF VIRGINIA", "REL9", "ELIZABETH PAGE"]]}
metaqa
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": ["ENT7696", "YVES SIMONEAU"], "valid_edges": [["ENT7696", "has_genre", "ENT9752"], ["ENT15254", "REL1", "YVES SIMONEAU"], ["ENT15254", "has_genre", "ENT9752"]]}
metaqa
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": ["JOANNA LUMLEY", "ENT26991"], "valid_edges": [["ENT15141", "REL1", "ENT26991"], ["ENT15141", "in_language", "ENT12156"], ["ENT15141", "REL9", "ENT26991"], ["ENT15447", "in_language", "ENT12156"], ["ENT15447", "REL8", "JOANNA LUMLEY"]]}
metaqa
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": ["ENT34363", "ENT40068"], "valid_edges": [["ENT9827", "REL1", "ENT17598"], ["ENT9827", "REL5", "ENT17598"], ["ENT9827", "REL8", "ENT14362"], ["ENT14445", "REL5", "ENT6366"], ["ENT14445", "REL5", "ENT40068"], ["ENT14785", "REL5", "ENT6366"], ["ENT14785", "REL5", "ENT38813"], ["ENT14785", "REL5", "ENT40068"]...
metaqa
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": ["ENT29298", "ENT29675"], "valid_edges": [["JUST LOOKING", "REL7", "ENT168"], ["JUST LOOKING", "REL8", "ENT29675"], ["ENT25509", "REL5", "ENT29298"], ["ENT25509", "REL7", "ENT168"], ["ENT25509", "REL8", "ENT29298"]]}
metaqa
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": ["ENT4119", "ENT8114"], "valid_edges": [["ENT29990", "REL7", "ENT190"], ["ENT29990", "REL8", "ENT4119"], ["SAW II", "REL1", "ENT8114"], ["SAW II", "REL5", "ENT8114"], ["SAW II", "REL7", "ENT190"], ["SAW II", "REL9", "ENT8114"]]}
metaqa
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": ["ENT6478", "ENT38368"], "valid_edges": [["MISCHIEF", "has_genre", "ENT7161"], ["MISCHIEF", "REL8", "ENT6478"], ["ENT36331", "has_genre", "ENT7161"], ["ENT36331", "REL9", "ENT38368"]]}
metaqa
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": ["ENT3367", "EVEN DWARFS STARTED SMALL"], "valid_edges": [["CHAMPAGNE FOR CAESAR", "has_genre", "ENT7161"], ["CHAMPAGNE FOR CAESAR", "REL8", "ENT3367"], ["EVEN DWARFS STARTED SMALL", "has_genre", "ENT7161"]]}
metaqa
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": ["ENT5800", "JASON BLOOM"], "valid_edges": [["ENT4219", "REL1", "JASON BLOOM"], ["ENT4219", "has_genre", "ENT7161"], ["ENT19593", "has_genre", "ENT7161"], ["ENT19593", "REL5", "ENT7161"], ["ENT19593", "REL8", "ENT5800"], ["ENT19593", "REL9", "ENT5800"], ["ENT25906", "REL1", "JASON BLOOM"], ["ENT25906", "ha...
metaqa
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": ["ENT11362", "ENT22384"], "valid_edges": [["ENT135", "REL7", "ENT156"], ["ENT11362", "REL7", "ENT156"], ["ENT24103", "REL7", "ENT135"], ["ENT24103", "REL9", "ENT22384"]]}
metaqa
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": ["ENT23534", "RODRIGO GARCÍA"], "valid_edges": [["ENT20034", "REL7", "ENT193"], ["ENT20034", "REL8", "ENT23534"], ["ENT26143", "REL1", "RODRIGO GARCÍA"], ["ENT26143", "REL7", "ENT193"]]}
metaqa
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": ["JOHN ROMANO", "ENT39350"], "valid_edges": [["THE HUNTER", "REL7", "ENT196"], ["THE HUNTER", "REL8", "ENT39350"], ["ENT35080", "REL7", "ENT196"], ["ENT35080", "REL9", "JOHN ROMANO"]]}
metaqa
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": ["ENT10907", "ENT39561"], "valid_edges": [["ENT4694", "has_genre", "ENT7161"], ["ENT4694", "has_genre", "ENT9752"], ["ENT4694", "REL5", "ENT39561"], ["ENT30956", "has_genre", "ENT7161"], ["ENT30956", "has_genre", "ENT9752"], ["ENT30956", "REL5", "ENT39561"], ["STRANGER THAN PARADISE", "has_genre", "ENT7161...
metaqa
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": ["CHINA SEAS", "ENT28734"], "valid_edges": [["BARBARY COAST", "has_genre", "ADVENTURE"], ["BARBARY COAST", "REL7", "ENT98"], ["ENT4639", "has_genre", "ADVENTURE"], ["ENT4639", "REL8", "ENT6842"], ["CALLING BULLDOG DRUMMOND", "REL7", "ENT116"], ["CALLING BULLDOG DRUMMOND", "REL8", "ENT28734"], ["ENT5557", "...
metaqa
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": ["ENT20235", "ENT37036"], "valid_edges": [["ENT8094", "REL1", "ENT18103"], ["ENT8094", "REL5", "ENT18103"], ["ENT8094", "REL8", "ENT20235"], ["ENT34902", "REL1", "ENT18103"], ["ENT34902", "has_genre", "ENT37036"], ["ENT34902", "REL5", "ENT18103"]]}
metaqa
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": ["DUTCHMAN", "ENT31164"], "valid_edges": [["DUTCHMAN", "REL1", "ANTHONY HARVEY"], ["DUTCHMAN", "has_genre", "ENT9752"], ["DUTCHMAN", "REL5", "ANTHONY HARVEY"], ["DUTCHMAN", "REL8", "SHIRLEY KNIGHT"], ["HOUSE OF WOMEN", "has_genre", "ENT9752"], ["HOUSE OF WOMEN", "REL8", "SHIRLEY KNIGHT"], ["ENT28043", "has...
metaqa
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": ["ENT8504", "ENT25771"], "valid_edges": [["30 DAYS OF NIGHT", "REL1", "ENT8504"], ["30 DAYS OF NIGHT", "REL5", "ENT8504"], ["30 DAYS OF NIGHT", "REL7", "2007"], ["ENT22319", "REL7", "2007"], ["ENT22319", "REL9", "ENT25771"]]}
metaqa
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": ["3 A.M.", "ENT15119"], "valid_edges": [["3 A.M.", "REL7", "ENT185"], ["ENT15119", "REL8", "ENT26780"], ["MAD LOVE", "REL5", "ENT26780"], ["MAD LOVE", "REL7", "ENT185"], ["MAD LOVE", "REL8", "ENT26780"]]}
metaqa
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": ["ENT9427", "ENT19027"], "valid_edges": [["ENT4379", "REL5", "ENT4379"], ["ENT4379", "in_language", "ENT10611"], ["ENT4379", "REL8", "ENT9427"], ["ENT4379", "REL9", "ENT9427"], ["ENT4384", "in_language", "ENT10611"], ["ENT4384", "REL8", "ENT19027"]]}
metaqa
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": ["ENT5985", "ENT28876"], "valid_edges": [["ENT5985", "has_genre", "ENT9752"], ["ENT9886", "has_genre", "ENT9752"], ["ENT30933", "REL1", "ENT28876"], ["ENT30933", "in_language", "ENT9886"], ["ENT30933", "REL9", "ENT28876"]]}
metaqa
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": ["ENT26555", "ENT27232"], "valid_edges": [["ENT26555", "has_genre", "ENT9752"], ["ENT26555", "REL5", "ENT9752"], ["THE CONTENDER", "has_genre", "ENT9752"], ["THE CONTENDER", "REL5", "ENT27232"]]}
metaqa
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": ["ENT4809", "ENT22121"], "valid_edges": [["ENT4809", "has_genre", "ENT9752"], ["ENT4809", "REL5", "ENT9752"], ["THE YEARLING", "has_genre", "ENT9752"], ["THE YEARLING", "REL9", "ENT22121"]]}
metaqa
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": ["CAMERON MITCHELL", "ENT13732"], "valid_edges": [["ENT1652", "REL5", "ENT3569"], ["ENT1652", "REL8", "CAMERON MITCHELL"], ["ENT5041", "REL5", "ENT3569"], ["ENT5041", "REL9", "ENT13732"]]}
metaqa
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": ["ENT18481", "ENT31088"], "valid_edges": [["JAILHOUSE ROCK", "has_genre", "ENT24356"], ["JAILHOUSE ROCK", "REL8", "ENT18481"], ["ENT27123", "REL5", "ENT24356"], ["ENT27123", "REL5", "ENT31088"]]}
metaqa
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": ["ENT26799", "ENT27591"], "valid_edges": [["ENT473", "has_genre", "ENT7161"], ["ENT473", "REL5", "GEENA DAVIS"], ["ENT473", "REL8", "GEENA DAVIS"], ["ACCIDENTS HAPPEN", "has_genre", "ENT7161"], ["ACCIDENTS HAPPEN", "REL8", "GEENA DAVIS"], ["ANGIE", "has_genre", "ENT7161"], ["ANGIE", "REL5", "GEENA DAVIS"],...
metaqa
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": ["ENT21430", "STEAMPUNK"], "valid_edges": [["ENT11322", "has_genre", "ENT7161"], ["ENT11322", "REL8", "ENT21430"], ["MABEL'S MARRIED LIFE", "has_genre", "ENT7161"], ["MABEL'S MARRIED LIFE", "REL8", "ENT21430"], ["MABEL'S MARRIED LIFE", "REL9", "ENT21430"], ["ENT39279", "has_genre", "ENT7161"], ["ENT39279",...
metaqa
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": ["AS I WAS MOVING AHEAD OCCASIONALLY I SAW BRIEF GLIMPSES OF BEAUTY", "LAND OF SILENCE AND DARKNESS"], "valid_edges": [["ENT1084", "REL1", "ENT39009"], ["ENT1084", "REL5", "GERMAN"], ["ENT1084", "REL5", "ENT39009"], ["ENT1084", "in_language", "GERMAN"], ["ENT1084", "REL9", "ENT39009"], ["ENT2025", "in_lang...
metaqa
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": ["ENT2039", "DOROTHY ATKINSON"], "valid_edges": [["ENT334", "has_genre", "ENT9752"], ["ENT334", "REL7", "ENT162"], ["ENT400", "has_genre", "ENT9752"], ["ENT400", "REL7", "ENT162"], ["ENT459", "has_genre", "ENT9752"], ["ENT459", "REL7", "ENT162"], ["ENT548", "has_genre", "ENT9752"], ["ENT548", "REL7", "ENT1...
metaqa
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": ["AMIDOU", "DADDY LONG LEGS"], "valid_edges": [["ENT296", "has_genre", "ENT24364"], ["ENT296", "REL5", "ENT12156"], ["ENT296", "REL5", "ENT24364"], ["ENT296", "in_language", "ENT12156"], ["ENT3617", "REL5", "ENT24364"], ["ENT3617", "in_language", "ENT12156"], ["DADDY LONG LEGS", "has_genre", "ENT24364"], [...
metaqa
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": ["ENT5304", "ENT9633"], "valid_edges": [["ENT7486", "has_genre", "ENT9307"], ["ENT7486", "REL8", "ENT5304"], ["ENT23341", "has_genre", "ENT9307"], ["ENT23341", "REL8", "ENT9633"]]}
metaqa
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": ["ENT11872", "ENT13625"], "valid_edges": [["A WOMAN'S FACE", "REL1", "ENT13625"], ["A WOMAN'S FACE", "has_genre", "ENT9752"], ["ENT4815", "REL1", "ENT11872"], ["ENT4815", "has_genre", "ENT9752"], ["ENT4815", "in_language", "ENT15722"], ["ENT4815", "REL9", "ENT11872"], ["ENT38059", "has_genre", "ENT9752"], ...
metaqa
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": ["ENT5559", "ON THE LINE"], "valid_edges": [["ENT5559", "REL5", "ENT9243"], ["ENT5559", "REL8", "ANJELICA HUSTON"], ["ENT24070", "REL5", "ENT9243"], ["ENT24070", "REL7", "ENT185"], ["ON THE LINE", "REL7", "ENT185"], ["ENT30906", "REL5", "ENT9243"], ["ENT30906", "REL7", "ENT185"], ["ENT35949", "REL5", "ANJE...
metaqa
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": ["ENT11634", "ENT37823"], "valid_edges": [["ENT1875", "has_genre", "ENT37036"], ["ENT1875", "REL7", "ENT166"], ["ENT3272", "has_genre", "ENT37036"], ["ENT3272", "REL7", "ENT166"], ["ENT4821", "REL5", "ENT37036"], ["ENT4821", "REL7", "ENT166"], ["ENT5283", "has_genre", "ENT37036"], ["ENT5283", "REL7", "ENT1...
metaqa
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": ["ENT938", "ENT31612"], "valid_edges": [["ENT4227", "REL5", "ENT938"], ["ENT4227", "REL5", "R"], ["ENT28165", "REL5", "ENT938"], ["ENT28165", "REL5", "R"], ["ENT31612", "REL5", "R"], ["ENT33409", "REL5", "ENT938"], ["ENT33409", "REL5", "ENT14450"], ["ENT37705", "REL5", "ENT938"], ["ENT37705", "REL5", "ENT1...
metaqa
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": ["ENT11277", "ENT32910"], "valid_edges": [["ENT224", "has_genre", "ENT845"], ["ENT224", "in_language", "ENT12156"], ["ENT224", "REL9", "ENT21224"], ["ENT678", "has_genre", "ENT845"], ["ENT678", "REL7", "ENT189"], ["ENT1041", "has_genre", "ENT845"], ["ENT1041", "REL7", "ENT189"], ["ENT2706", "has_genre", "E...
metaqa
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": ["ENT28054", "ENT37251"], "valid_edges": [["PSYCHOSIS", "REL1", "ENT28054"], ["PSYCHOSIS", "REL7", "ENT195"], ["PSYCHOSIS", "REL9", "ENT28054"], ["ENT37251", "REL7", "ENT195"]]}
metaqa
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": ["1939", "ENT29163"], "valid_edges": [["OF MICE AND MEN", "REL1", "ENT12475"], ["OF MICE AND MEN", "REL5", "ENT12475"], ["OF MICE AND MEN", "REL7", "1939"], ["OF MICE AND MEN", "REL8", "ENT12475"], ["ENT25742", "REL1", "ENT29163"], ["ENT25742", "REL5", "ENT12475"], ["ENT25742", "REL5", "ENT29163"], ["ENT25...
metaqa
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": ["ENT24406", "ENT35879"], "valid_edges": [["ENT3267", "REL5", "ENT9209"], ["ENT3267", "REL7", "ENT164"], ["ENT14211", "REL5", "ENT9209"], ["ENT14211", "REL7", "ENT164"], ["ENT24406", "REL7", "ENT164"], ["ENT35879", "REL5", "ENT9209"]]}
metaqa
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": ["ENT2463", "ENT29834"], "valid_edges": [["ENT15029", "REL7", "ENT188"], ["ENT15029", "REL9", "ENT2463"], ["ENT18678", "REL7", "ENT188"], ["ENT18678", "REL9", "ENT29834"]]}
metaqa
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": ["ENT15702", "ENT21587"], "valid_edges": [["ENT253", "has_genre", "ENT24364"], ["ENT253", "REL5", "ENT3569"], ["ENT423", "has_genre", "ENT24364"], ["ENT423", "REL5", "ENT3569"], ["A HARD DAY'S NIGHT", "REL5", "ENT3569"], ["A HARD DAY'S NIGHT", "REL5", "ENT24364"], ["A KISS FOR CORLISS", "REL5", "ENT3569"],...
metaqa
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": ["JIAH KHAN", "TAYLOR LAUTNER"], "valid_edges": [["ENT757", "has_genre", "ENT845"], ["ENT757", "REL5", "ENT845"], ["ENT757", "REL5", "TAYLOR LAUTNER"], ["ENT12883", "has_genre", "ENT845"], ["ENT12883", "REL8", "JIAH KHAN"], ["TRACERS", "has_genre", "ENT845"], ["TRACERS", "REL8", "TAYLOR LAUTNER"]]}
metaqa
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-HEADED SHARK ATTACK", "ENT9742"], "valid_edges": [["2-HEADED SHARK ATTACK", "REL7", "ENT197"], ["ENT9742", "REL5", "ENT22366"], ["ENT9742", "REL7", "ENT191"], ["ENT10068", "REL7", "ENT191"], ["ENT10068", "REL7", "ENT197"], ["ENT11352", "REL5", "ENT22366"], ["ENT11352", "REL7", "ENT191"], ["ENT15049", "...
metaqa
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": ["ANGELINA JOLIE", "ENT16600"], "valid_edges": [["ENT515", "has_genre", "ENT9752"], ["ENT515", "REL5", "ANGELINA JOLIE"], ["ENT515", "REL5", "R"], ["ENT515", "REL8", "ANGELINA JOLIE"], ["ENT4007", "has_genre", "ENT9752"], ["ENT4007", "REL8", "ANGELINA JOLIE"], ["ENT6007", "has_genre", "ENT9752"], ["ENT6007...
metaqa
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": ["DANIEL NETTHEIM", "ENT28667"], "valid_edges": [["THE HUNTER", "REL1", "DANIEL NETTHEIM"], ["THE HUNTER", "REL7", "ENT196"], ["THE HUNTER", "REL9", "DANIEL NETTHEIM"], ["ENT39873", "REL1", "ENT28667"], ["ENT39873", "REL7", "ENT196"], ["ENT39873", "REL9", "ENT28667"]]}
metaqa
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": ["ENT17695", "TARIK LOWE"], "valid_edges": [["ENT26053", "REL1", "ENT17695"], ["ENT26053", "REL7", "ENT197"], ["ENT26053", "REL8", "ENT17695"], ["ENT32438", "REL7", "ENT197"], ["ENT32438", "REL8", "TARIK LOWE"], ["ENT32438", "REL9", "TARIK LOWE"]]}
metaqa
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": ["ENT20288", "ENT31724"], "valid_edges": [["ENT20288", "REL8", "ENT26198"], ["ENT31724", "REL1", "ENT39690"], ["ENT31724", "REL5", "ENT39690"], ["ENT31724", "REL8", "ENT39690"], ["ENT31724", "REL9", "ENT39690"], ["WHATEVER WORKS", "REL1", "ENT39690"], ["WHATEVER WORKS", "REL5", "ENT26198"], ["WHATEVER WORK...