Triple
T5662143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Asian Football Federation |
E124768
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | WAFF |
E74361
|
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: WAFF | Statement: [West Asian Football Federation, abbreviation, WAFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAFF Context triple: [West Asian Football Federation, abbreviation, WAFF]
-
A.
WAFF
chosen
WAFF is the West Asian Football Federation, the regional governing body for football in West Asia under the Asian Football Confederation.
-
B.
WABI-TV
WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
-
C.
WTN
WTN is the IATA airport code for RAF Waddington, a Royal Air Force station in Lincolnshire, England.
-
D.
WFLD
WFLD is a Fox-owned television station serving the Chicago, Illinois market.
-
E.
WPWR-TV
WPWR-TV is a Chicago-area television station that serves as a MyNetworkTV affiliate and is part of the Fox Television Stations group.
- 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_69c0082774a481909d7e63fb2aad56ac |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c02321ce6c819080371e0cfbb4bc4f |
completed | March 22, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04da6fa808190a3c500ee664bb150 |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:42 p.m.