Triple
T20040850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buxton Crescent |
E497409
|
entity |
| Predicate | faces |
P1699
|
FINISHED |
| Object | The Slopes, Buxton |
—
|
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: The Slopes, Buxton | Statement: [Buxton Crescent, faces, The Slopes, Buxton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Slopes, Buxton Context triple: [Buxton Crescent, faces, The Slopes, Buxton]
-
A.
Buxton
Buxton is a village in Norfolk, England, known for its rural setting and historic association with the River Bure.
-
B.
Buxton
Buxton is a village in the Demerara-Mahaica region of Guyana known historically as one of the country’s prominent Afro-Guyanese communities.
-
C.
Buxton
chosen
Buxton is a historic spa town in Derbyshire, England, renowned for its thermal mineral springs and Georgian architecture.
-
D.
Buxton
Buxton is an English surname historically associated with several notable figures in British public life, politics, and philanthropy.
-
E.
Buxton
Buxton is a small city in eastern North Dakota, United States, known for its rural community character and agricultural surroundings.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662eb9a6081909d06dc1d457b4d5a |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:36 p.m.