Triple
T708334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cotswolds |
E14150
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cirencester |
E76793
|
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: Cirencester | Statement: [Cotswolds, contains, Cirencester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cirencester Context triple: [Cotswolds, contains, Cirencester]
-
A.
Cirencester
chosen
Cirencester is a historic market town in south-central England, renowned for its Roman heritage and Cotswold architecture.
-
B.
Chipping Norton
Chipping Norton is a historic market town in Oxfordshire, England, known for its Cotswold stone architecture and rural surroundings.
-
C.
Stroud
Stroud is a market town and parliamentary constituency in Gloucestershire, England, known historically for its role in the Industrial Revolution and its association with progressive politics.
-
D.
Tetbury
Tetbury is a historic market town in the Cotswolds region of southwest England, known for its wool-trading heritage and well-preserved medieval and Georgian architecture.
-
E.
Didcot
Didcot is a town in Oxfordshire, England, known historically for its railway junction and nearby power stations.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a548e6dc819090d31ce33493a396 |
completed | March 1, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7927e57d48190a9e1f34c39501680 |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:36 p.m.