Triple

T14267911
Position Surface form Disambiguated ID Type / Status
Subject Club Tijuana E353698 entity
Predicate nickname P55 FINISHED
Object Xolos E353698 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: Xolos | Statement: [Club Tijuana, nickname, Xolos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xolos
Context triple: [Club Tijuana, nickname, Xolos]
  • A. Xolos chosen
    Xolos is the popular nickname of Club Tijuana, a professional Mexican football team based in Tijuana, Baja California.
  • B. 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.
  • C. Puebla FC
    Puebla FC is a professional Mexican football club based in the city of Puebla that competes in Liga MX and has a long-standing history in the country’s top division.
  • D. 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.
  • 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_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_69fd3d16bae881909b38ccf04f1cf823 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:10 a.m.