Triple

T22338513
Position Surface form Disambiguated ID Type / Status
Subject Wydad Casablanca E552212 entity
Predicate shortName P43 FINISHED
Object WAC 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: WAC | Statement: [Wydad Casablanca, shortName, WAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAC
Context triple: [Wydad Casablanca, shortName, WAC]
  • A. WAC
    WAC is a collegiate athletic conference in the United States that sponsors NCAA Division I sports across multiple member universities.
  • B. WAC
    WAC is the Western Air Command of the Indian Air Force, a major operational command responsible for air operations in India’s western and northwestern regions.
  • C. WAC chosen
    WAC is a prominent Moroccan football club based in Casablanca, widely known for its success in domestic and African competitions.
  • D. WAC
    WAC is the National Rail station code for Warrington Central railway station in Cheshire, England.
  • E. WCC
    WCC is the commonly used abbreviation for the World Council of Churches, a major global ecumenical organization that fosters unity and cooperation among Christian denominations worldwide.
  • 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.