Triple
T23319389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USBWA District Coach of the Year |
E590804
|
entity |
| Predicate | presentedBy |
P83
|
FINISHED |
| Object | USBWA |
—
|
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: USBWA | Statement: [USBWA District Coach of the Year, presentedBy, USBWA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USBWA Context triple: [USBWA District Coach of the Year, presentedBy, 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.
WSA
WSA is the W3C’s Web Services Architecture specification that defines a conceptual model and guidelines for designing interoperable web services.
-
C.
WSM
WSM is the National Rail station code for Weston-super-Mare railway station in Somerset, England.
-
D.
WSM
WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
-
E.
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.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978440888190b316664812105d60 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.