Triple
T10321172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wydad AC |
E242140
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | WAC |
E147755
|
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: WAC | Statement: [Wydad AC, nickname, WAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAC Context triple: [Wydad AC, nickname, WAC]
-
A.
WAC
chosen
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 National Rail station code for Warrington Central railway station in Cheshire, England.
-
C.
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.
-
D.
WCC
WCC is a collegiate athletic conference in the NCAA Division I primarily comprising private universities along the West Coast of the United States.
-
E.
WCC
WCC is a public community college in Valhalla, New York, offering a wide range of associate degree and certificate programs as part of the State University of New York (SUNY) system.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d6cbbb548190b757ec5a02d60e5c |
completed | April 7, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d9b2ad881909f3076f8f9d1b1d3 |
completed | April 9, 2026, 3:31 a.m. |
Created at: April 6, 2026, 11:50 a.m.