Triple

T2656950
Position Surface form Disambiguated ID Type / Status
Subject Estadio Caliente E54634 entity
Predicate tenant P75 FINISHED
Object Club Tijuana E58825 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 Tijuana | Statement: [Estadio Caliente, tenant, Club Tijuana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Club Tijuana
Context triple: [Estadio Caliente, tenant, Club Tijuana]
  • A. Club Tijuana chosen
    Club Tijuana is a professional Mexican football (soccer) club based in Tijuana, Baja California, known for competing in Liga MX.
  • B. 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.
  • C. Xolos
    Xolos is the popular nickname of Club Tijuana, a professional Mexican football team based in Tijuana, Baja California.
  • D. C.D. Guadalajara
    C.D. Guadalajara, commonly known as Chivas, is one of Mexico’s most popular and successful football clubs, renowned for its tradition of fielding only Mexican players.
  • E. Atlético de Morelia
    Atlético de Morelia is a Mexican professional football club based in Morelia, Michoacán, historically known for competing in the country’s top divisions and attracting notable international players.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94ae2e881909399b3d58159aa29 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69b37e3d80d081908bb563323e250978 completed March 13, 2026, 3:02 a.m.
Created at: March 6, 2026, 9:53 p.m.