Triple

T2393730
Position Surface form Disambiguated ID Type / Status
Subject Tigres UANL Femenil E47599 entity
Predicate league P888 FINISHED
Object Liga MX Femenil E151047 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 Femenil | Statement: [Tigres UANL Femenil, league, Liga MX Femenil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liga MX Femenil
Context triple: [Tigres UANL Femenil, league, Liga MX Femenil]
  • A. Liga MX Femenil chosen
    Liga MX Femenil is Mexico’s top-tier professional women’s football league, featuring the country’s leading women’s clubs.
  • B. Liga MX
    Liga MX is the top professional football (soccer) division in Mexico, featuring the country’s most prominent clubs.
  • C. 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.
  • D. Copa MX
    Copa MX was a Mexican domestic cup competition in which professional football clubs from various divisions competed in a knockout-style tournament.
  • E. CONMEBOL Libertadores Femenina
    The CONMEBOL Libertadores Femenina is South America's premier women's club football tournament, featuring top teams from across the continent.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc876d48881909e4d6f5ebe430012 completed March 7, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3da0978819094584cb23194fb3a completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.