Triple
T19827401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bampton Town Hall |
E476362
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bampton |
—
|
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: Bampton | Statement: [Bampton Town Hall, locatedIn, Bampton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bampton Context triple: [Bampton Town Hall, locatedIn, Bampton]
-
A.
Bampton
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.
Bampton
chosen
Bampton is a small historic town in Devon, England, known for its rural charm and proximity to the River Exe and Exmoor National Park.
-
C.
Bathampton
Bathampton is a village near Bath in Somerset, England, known for its historic parish church, canalside setting, and picturesque rural character.
-
D.
Bassingham
Bassingham is a small rural village and civil parish in the North Kesteven district of Lincolnshire, England.
-
E.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cb20788190b9deac6b8af6a55d |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.