Triple
T4473637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Bourton |
E98553
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object | Bampton |
E109189
|
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: Bampton | Statement: [Black Bourton, postTown, Bampton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bampton Context triple: [Black Bourton, postTown, Bampton]
-
A.
Bampton
chosen
Bampton is a historic village in Oxfordshire, England, known for its traditional Cotswold architecture and as a filming location for the television series "Downton Abbey."
-
B.
Bassingham
Bassingham is a small rural village and civil parish in the North Kesteven district of Lincolnshire, England.
-
C.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
-
D.
Banbury
Banbury is a historic market town in Oxfordshire, England, known for its medieval cross, canal-side setting, and association with the traditional Banbury cake.
-
E.
Bicester
Bicester is a historic market town in Oxfordshire, England, best known today for its rapid growth and the popular designer outlet shopping destination Bicester Village.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356b95c888190a84bf4a9b2c60aa6 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6513446f08190b4ab18dffda9060a |
completed | March 15, 2026, 6:27 a.m. |
Created at: March 12, 2026, 11:35 p.m.