Triple
T1265477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxfordshire |
E12590
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Chipping Norton |
E39645
|
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: Chipping Norton | Statement: [Oxfordshire, contains, Chipping Norton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chipping Norton Context triple: [Oxfordshire, contains, Chipping Norton]
-
A.
Chipping Norton
chosen
Chipping Norton is a historic market town in Oxfordshire, England, known for its Cotswold stone architecture and rural surroundings.
-
B.
Brize Norton
Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
-
C.
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.
-
D.
Cirencester
Cirencester is a historic market town in south-central England, renowned for its Roman heritage and Cotswold 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4c036deb881909b234894347c75c6 |
completed | March 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad231d1bdc8190bceaafcf86544bf1 |
completed | March 8, 2026, 7:19 a.m. |
Created at: March 1, 2026, 7:50 p.m.