Triple
T33877311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queensbury, West Yorkshire |
E868389
|
entity |
| Predicate | bandNotability |
P95268
|
FINISHED |
| Object | world-famous brass band |
—
|
LITERAL 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: world-famous brass band | Statement: [Queensbury, West Yorkshire, bandNotability, world-famous brass band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bandNotability Context triple: [Queensbury, West Yorkshire, bandNotability, world-famous brass band]
-
A.
bandNotableFor
chosen
Indicates that a musical band is especially known or recognized for a particular work, achievement, characteristic, or contribution.
-
B.
albumNotability
Indicates that an album possesses a level of significance, prominence, or impact that makes it noteworthy or distinguished compared to typical albums.
-
C.
notableTune
Indicates that a tune is especially significant, well-known, or characteristic in relation to a particular entity.
-
D.
soundtrackNotability
Indicates that an entity is notable or recognized specifically for its soundtrack or musical score.
-
E.
notableTrack
Indicates that a particular track (such as a song or recording) is especially significant, well-known, or prominent in relation to the subject.
- F. None of above.
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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:48 a.m.