Triple

T11273777
Position Surface form Disambiguated ID Type / Status
Subject Vavá E266877 entity
Predicate playedFor P2170 FINISHED
Object Toros Neza E881365 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: Toros Neza | Statement: [Vavá, playedFor, Toros Neza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toros Neza
Context triple: [Vavá, playedFor, Toros Neza]
  • A. Toros Neza chosen
    Toros Neza was a colorful and famously eccentric Mexican football club known for its attacking style and flamboyant player personalities during the 1990s.
  • B. Cantera Pumas
    Cantera Pumas is the renowned youth academy of Club Universidad Nacional, recognized for developing many of Mexico’s top football talents.
  • C. Necaxa
    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.
  • D. Atlético San Luis
    Atlético San Luis is a Mexican professional football club based in San Luis Potosí that competes in Liga MX and is part of the Atlético de Madrid-affiliated club network.
  • E. Tecos F.C.
    Tecos F.C. is a Mexican professional football club historically based in Zapopan, Jalisco, known for its association with the Universidad Autónoma de Guadalajara and participation 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e965c9048190804ebb48f0a4817b completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f445792c8190962d94aa71f328d9 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.