Triple

T15429487
Position Surface form Disambiguated ID Type / Status
Subject Union of Arab Football Associations E369599 entity
Predicate shortName P43 FINISHED
Object UAFA E386967 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: UAFA | Statement: [Union of Arab Football Associations, shortName, UAFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UAFA
Context triple: [Union of Arab Football Associations, shortName, UAFA]
  • A. UAFA chosen
    UAFA is the Union of Arab Football Associations, the regional governing body that organizes football competitions among Arab countries in Asia and Africa.
  • B. USAf
    USAf is the commonly used abbreviation for Universities South Africa, the representative body for public universities in South Africa.
  • C. UFL
    UFL is a common abbreviation for the University of Florida, a major public research university in Gainesville known for its strong academics and athletics.
  • D. WFA
    WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
  • E. AFC
    AFC is a British military decoration, the Air Force Cross, awarded for exemplary gallantry while flying but not in active operations against the enemy.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a827d9081909fabc48bc685ba5b completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:21 a.m.