Triple
T12022010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Errwood Reservoir |
E286174
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Buxton |
E31898
|
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: Buxton | Statement: [Errwood Reservoir, near, Buxton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buxton Context triple: [Errwood Reservoir, near, Buxton]
-
A.
Buxton
Buxton is a village in Norfolk, England, known for its rural setting and historic association with the River Bure.
-
B.
Buxton
chosen
Buxton is a historic spa town in Derbyshire, England, renowned for its thermal mineral springs and Georgian architecture.
-
C.
Buxton
Buxton is a small city in eastern North Dakota, United States, known for its rural community character and agricultural surroundings.
-
D.
Bexton
Bexton is a small rural area in Cheshire, England, situated on the outskirts of the town of Knutsford.
-
E.
Biddulph
Biddulph is a small town in Staffordshire, England, known historically for its coal mining and rural surroundings.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903ed15408190afc21afd57d6a737 |
completed | April 10, 2026, 2:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f48b62cad8819092beb72c604a4762 |
completed | May 1, 2026, 11:15 a.m. |
Created at: April 8, 2026, 9:47 p.m.