Triple

T8407143
Position Surface form Disambiguated ID Type / Status
Subject Sebastián Abreu E198527 entity
Predicate playedForClub P2168 FINISHED
Object Aucas
Aucas is an Ecuadorian professional football club based in Quito, known for competing in the country’s top division.
 E731346 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aucas | Statement: [Sebastián Abreu, playedForClub, Aucas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aucas
Context triple: [Sebastián Abreu, playedForClub, Aucas]
  • A. Curarén
    Curarén is a small municipality located in the Francisco Morazán Department of central Honduras.
  • B. Orocué
    Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
  • C. Guará
    Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
  • D. Cauqui
    Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
  • E. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aucas
Triple: [Sebastián Abreu, playedForClub, Aucas]
Generated description
Aucas is an Ecuadorian professional football club based in Quito, known for competing in the country’s top division.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aucas
Target entity description: Aucas is an Ecuadorian professional football club based in Quito, known for competing in the country’s top division.
  • A. Curarén
    Curarén is a small municipality located in the Francisco Morazán Department of central Honduras.
  • B. Orocué
    Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
  • C. Guará
    Guará is an administrative region and residential suburb within Brazil’s Federal District, located near Brasília.
  • D. Cauqui
    Cauqui is an indigenous Aymaran language variety spoken by a small community in the Andean region of Peru.
  • E. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8310df9c8190b25f16161cca3e41 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb831409308190981089c303ebaef4 completed March 31, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce03035e148190867b60ddaeb8d761 completed April 2, 2026, 5:47 a.m.
NEDg Description generation batch_69ce07808098819087e896b87320aefd completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce08759e1c81909c96caf3b571e1ca completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:05 p.m.