Triple

T6779303
Position Surface form Disambiguated ID Type / Status
Subject Mexico women's national football team E155638 entity
Predicate association P10 FINISHED
Object NAFU E139545 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: NAFU | Statement: [Mexico women's national football team, association, NAFU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NAFU
Context triple: [Mexico women's national football team, association, NAFU]
  • A. NAFU chosen
    NAFU (North American Football Union) is a regional football governing body in North America that oversees and organizes competitions and development for member national teams within the CONCACAF structure.
  • B. NAF
    NAF is a Norwegian trade union representing general workers across various industries.
  • C. NAF
    NAF is the aerial warfare branch of Nigeria’s Armed Forces, responsible for air defense, air operations, and supporting ground and naval forces.
  • D. NAFC
    NAFC (North American Football Confederation) was the former governing body for association football in North America prior to its merger into CONCACAF.
  • E. NAZ
    NAZ is the commonly used acronym for the National Assembly of Zambia, the country’s unicameral legislative body.
  • 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_69c688162bf8819088b664b5c3b5be7a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d26a1634819099b8a3b3196a306a completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a8263508190ad5cace74d7d7ac2 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:14 p.m.