Triple
T791515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Fowell Buxton |
E16924
|
entity |
| Predicate | familyName |
P18
|
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: [Thomas Fowell Buxton, familyName, Buxton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buxton Context triple: [Thomas Fowell Buxton, familyName, Buxton]
-
A.
Buxton
chosen
Buxton is a historic spa town in Derbyshire, England, renowned for its thermal mineral springs and Georgian architecture.
-
B.
Rothbury
Rothbury is a historic market town and civil parish in Northumberland, England, situated on the River Coquet and known as a gateway to the Northumberland National Park.
-
C.
Branxton
Branxton is a small rural town in New South Wales, Australia, situated in the Hunter Region and known as a gateway to the Hunter Valley wine country.
-
D.
Burford
Burford is a historic medieval market town in Oxfordshire, England, often regarded as one of the most picturesque settlements in the Cotswolds.
-
E.
Kendal
Kendal is a historic market town in northwest England, known for its wool trade heritage, distinctive grey limestone buildings, and the mint cake associated with mountaineering.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a798c7608190b9c79c52a1fe0859 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3afbb0c8190b4e7aa7824c8b787 |
completed | March 4, 2026, 3:14 a.m. |
Created at: March 1, 2026, 7:38 p.m.