Triple

T22691203
Position Surface form Disambiguated ID Type / Status
Subject FEDEFUTBOL E561054 entity
Predicate affiliation P10 FINISHED
Object UNCAF 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: UNCAF | Statement: [FEDEFUTBOL, affiliation, UNCAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNCAF
Context triple: [FEDEFUTBOL, affiliation, UNCAF]
  • A. UNCAF chosen
    UNCAF is the Central American Football Union, the regional governing body for association football in Central America under CONCACAF.
  • B. UNAF
    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.
  • C. UNAFUT
    UNAFUT is the organizing body responsible for overseeing and managing Costa Rica’s top-tier professional football league.
  • D. UNSAAC
    UNSAAC is a major public university in Cusco, Peru, recognized for its historical significance and academic contributions in the Andean region.
  • E. UNCAF Interclub Cup
    The UNCAF Interclub Cup was a Central American club football competition that brought together top teams from the region to compete for regional supremacy.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789adcc48190b4a717166d5dba19 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.