Triple

T1443280
Position Surface form Disambiguated ID Type / Status
Subject Copa MX E31121 entity
Predicate organizer P123 FINISHED
Object Liga MX E28666 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: Liga MX | Statement: [Copa MX, organizer, Liga MX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liga MX
Context triple: [Copa MX, organizer, Liga MX]
  • A. Liga MX chosen
    Liga MX is the top professional football (soccer) division in Mexico, featuring the country’s most prominent clubs.
  • B. Liga de Expansión MX
    Liga de Expansión MX is Mexico’s second-tier professional football league, created as a developmental and transitional competition beneath Liga MX.
  • C. Copa MX
    Copa MX was a Mexican domestic cup competition in which professional football clubs from various divisions competed in a knockout-style tournament.
  • D. Liga MX Femenil
    Liga MX Femenil is Mexico’s top-tier professional women’s football league, featuring the country’s leading women’s clubs.
  • E. CONCACAF League
    The CONCACAF League was an annual regional club football competition organized by CONCACAF that served as a secondary tournament to the CONCACAF Champions League for teams from Central America, the Caribbean, and Canada.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c533a158819084d0917776edb6e5 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad36fd91488190b0431bc1c83c64e3 completed March 8, 2026, 8:44 a.m.
Created at: March 1, 2026, 8 p.m.