Triple

T14267913
Position Surface form Disambiguated ID Type / Status
Subject Club Tijuana E353698 entity
Predicate shortName P43 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: [Club Tijuana, shortName, Club Tijuana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Club Tijuana
Context triple: [Club Tijuana, shortName, 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. 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.
  • C. FC Juárez
    FC Juárez is a professional Mexican football club based in Ciudad Juárez that competes in Liga MX.
  • D. 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.
  • E. Xolos
    Xolos is the popular nickname of Club Tijuana, a professional Mexican football team based in Tijuana, Baja California.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6358c2288190ac1fd26e688a605d completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c2e7ee081909a70c9d9b32b6ce5 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:10 a.m.