Triple
T10801786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Basketball Writers Association |
E254854
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | USBWA |
E530078
|
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: USBWA | Statement: [United States Basketball Writers Association, shortName, USBWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USBWA Context triple: [United States Basketball Writers Association, shortName, USBWA]
-
A.
USBWA
chosen
USBWA is the United States Basketball Writers Association, a professional organization of sportswriters that covers and honors college basketball in the United States.
-
B.
WSM
WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
-
C.
WSF
WSF is the vehicle registration code used on license plates for the Burgenlandkreis district in the German state of Saxony-Anhalt.
-
D.
WSF
WSF is the commonly used abbreviation for Washington State Ferries, the largest ferry system in the United States serving routes across Puget Sound and nearby waterways.
-
E.
WinSport
WinSport is a Canadian non-profit organization that owns and operates Olympic legacy sports facilities in Calgary, promoting winter sport development and high-performance training.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7336dedec819099bd302c5d213dba |
completed | April 9, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de566e7d408190946864e28c294075 |
completed | April 14, 2026, 2:59 p.m. |
Created at: April 8, 2026, 9:18 p.m.