Triple
T20647134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buxworth |
E507384
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Chinley |
—
|
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: Chinley | Statement: [Buxworth, nearbySettlement, Chinley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chinley Context triple: [Buxworth, nearbySettlement, Chinley]
-
A.
Chinley
chosen
Chinley is a rural village in Derbyshire, England, situated in the Peak District and known for its scenic surroundings and role as a local commuter hub.
-
B.
Chalvey
Chalvey is a residential and historically working-class suburb within the town of Slough in Berkshire, England.
-
C.
Chelmsley Wood
Chelmsley Wood is a large residential area and housing estate in the Metropolitan Borough of Solihull, near Birmingham in England.
-
D.
Olching
Olching is a Bavarian town near Munich known for its residential character, local lakes, and location along the Amper River.
-
E.
Chearsley
Chearsley is a small rural village and civil parish in Buckinghamshire, England, known for its traditional English countryside character.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1eee9c81908fd3b4fe8c4529c8 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.