Triple

T8987738
Position Surface form Disambiguated ID Type / Status
Subject Categoría Primera A E214709 entity
Predicate hasClub P28155 FINISHED
Object Atlético Huila E521957 NE FINISHED

How this triple was built (2 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: Atlético Huila | Statement: [Categoría Primera A, hasClub, Atlético Huila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlético Huila
Context triple: [Categoría Primera A, hasClub, Atlético Huila]
  • A. Atlético Huila chosen
    Atlético Huila is a professional Colombian football club based in Neiva that competes in the country’s league system and has developed several notable players.
  • B. Atlético Bucaramanga
    Atlético Bucaramanga is a professional Colombian football club based in the city of Bucaramanga, known for competing in the country’s top leagues.
  • C. Deportivo Mandiyú
    Deportivo Mandiyú is an Argentine football club best known internationally for having been briefly coached by Diego Maradona in the 1990s.
  • D. Llaneros Fútbol Club
    Llaneros Fútbol Club is a Colombian professional football team based in Villavicencio that competes in the country’s lower divisions.
  • E. Club Bolívar
    Club Bolívar is a prominent professional football club from La Paz, Bolivia, known as one of the country’s most successful and popular teams.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca839f76bc8190a4b7123cdd682199 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67f0fed8819098ef3c88f9ef8045 completed April 1, 2026, 12:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0c155cc819087f1060454da38e5 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:04 p.m.