Triple
T16407943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Nauheim |
E398483
|
entity |
| Predicate | twinTown |
P1072
|
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: [Bad Nauheim, twinTown, Buxton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buxton Context triple: [Bad Nauheim, twinTown, 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.
Buxton
Buxton is a village in the Demerara-Mahaica region of Guyana known historically as one of the country’s prominent Afro-Guyanese communities.
-
E.
Bexton
Bexton is a small rural area in Cheshire, England, situated on the outskirts of the town of Knutsford.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32870e44c8190aae7bc6e6022ceb7 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c64a05c8190a59e800ce2318052 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.