Triple

T22338244
Position Surface form Disambiguated ID Type / Status
Subject Union of North African Football Federations E552206 entity
Predicate shortName P43 FINISHED
Object UNAF NE NERFINISHED

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: UNAF | Statement: [Union of North African Football Federations, shortName, UNAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNAF
Context triple: [Union of North African Football Federations, shortName, UNAF]
  • A. UNAF chosen
    UNAF (Union of North African Football Federations) is the regional governing body that organizes and oversees football activities and competitions among North African national associations.
  • B. UNAFUT
    UNAFUT is the organizing body responsible for overseeing and managing Costa Rica’s top-tier professional football league.
  • C. UNCAF
    UNCAF is the Central American Football Union, the regional governing body for association football in Central America under CONCACAF.
  • D. UNDAF
    UNDAF is the strategic planning framework that guides how United Nations agencies coordinate their development assistance in a given country.
  • E. UNA
    UNA is the commonly used acronym for the National University of Asunción, a major public higher education institution in Paraguay.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1578184f481908d4ec1737a8a72d4 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.