Triple
T20658446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeovil deanery |
E507689
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Yeovil area |
—
|
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: Yeovil area | Statement: [Yeovil deanery, locatedIn, Yeovil area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeovil area Context triple: [Yeovil deanery, locatedIn, Yeovil area]
-
A.
Yeovil deanery
Yeovil deanery is an administrative division of the Church of England within the Diocese of Bath and Wells, covering Yeovil and surrounding parishes in Somerset.
-
B.
Yeovil, Somerset, England
Yeovil, Somerset, England is a market town in South West England known historically for its glove-making and aircraft industries.
-
C.
Yeovil
chosen
Yeovil is a town in Somerset, England, known historically for its aircraft and defence industries and serving as a commercial and service hub for the surrounding rural area.
-
D.
Yeovilton
Yeovilton is a village in Somerset, England, best known for its Royal Naval Air Station and strong association with British naval aviation.
-
E.
Teignbridge district
Teignbridge district is a local government district in south Devon, England, known for its mix of coastal towns, rural landscapes, and parts of Dartmoor National Park.
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2eefd5c8190a71d4be690a6ae0e |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:43 a.m.