Triple

T9079967
Position Surface form Disambiguated ID Type / Status
Subject León E217591 entity
Predicate rival P437 FINISHED
Object Club Irapuato E744733 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: Club Irapuato | Statement: [León, rival, Club Irapuato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Club Irapuato
Context triple: [León, rival, Club Irapuato]
  • A. Club Irapuato chosen
    Club Irapuato is a Mexican football club historically known for its passionate fan base and regional derbies, particularly against nearby Club León.
  • B. C.F. Tampico Madero
    C.F. Tampico Madero is a professional Mexican football club known for representing the port city of Tampico and competing in the country’s league system.
  • C. Tepatitlán Fútbol Club
    Tepatitlán Fútbol Club is a Mexican professional football team that competes in the country’s league system and represents the city of Tepatitlán de Morelos.
  • D. FC Juárez
    FC Juárez is a professional Mexican football club based in Ciudad Juárez that competes in Liga MX.
  • E. Mazatlán F.C.
    Mazatlán F.C. is a professional Mexican football club based in the coastal city of Mazatlán, Sinaloa, competing in Liga MX.
  • 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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9607942c8190a21620892ce3cbe5 completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe2103448190bbc09436f19c4f11 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.