Triple

T9481850
Position Surface form Disambiguated ID Type / Status
Subject Necaxa E228659 entity
Predicate shortName P43 FINISHED
Object Club Necaxa E228659 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 Necaxa | Statement: [Necaxa, shortName, Club Necaxa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Club Necaxa
Context triple: [Necaxa, shortName, Club Necaxa]
  • A. Necaxa chosen
    Necaxa is a professional Mexican football club based in Aguascalientes, known for its historic success in Liga MX and its distinctive red-and-white colors.
  • B. Club Tijuana
    Club Tijuana is a professional Mexican football (soccer) club based in Tijuana, Baja California, known for competing in Liga MX.
  • C. Deportivo Toluca F.C.
    Deportivo Toluca F.C. is a professional Mexican football club based in Toluca, renowned as one of Liga MX’s most successful and historic teams.
  • D. Xolos
    Xolos is the popular nickname of Club Tijuana, a professional Mexican football team based in Tijuana, Baja California.
  • E. C.F. Monterrey
    C.F. Monterrey is a professional Mexican football club based in Monterrey, Nuevo León, known for its success in Liga MX and CONCACAF competitions.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804af6d08190a281cb27407c791c completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139f7fa90819092e3fbcc62a9e5b9 completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:55 p.m.