Triple
T1797888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chipping Norton |
E39645
|
entity |
| Predicate | hasNearbyPlace |
P3449
|
FINISHED |
| Object | Burford |
E87872
|
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: Burford | Statement: [Chipping Norton, hasNearbyPlace, Burford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burford Context triple: [Chipping Norton, hasNearbyPlace, Burford]
-
A.
Burford
chosen
Burford is a historic medieval market town in Oxfordshire, England, often regarded as one of the most picturesque settlements in the Cotswolds.
-
B.
Bainsford
Bainsford is a district in Falkirk, Scotland, historically associated with local industry and early Scottish football.
-
C.
Delaford
Delaford is the country estate in Jane Austen’s "Sense and Sensibility" that becomes the home of Elinor Dashwood and Colonel Brandon.
-
D.
Bishopton
Bishopton is a village in western Scotland known for its rural character and proximity to the River Clyde and the city of Glasgow.
-
E.
Lanesborough
Lanesborough is a small town in western Massachusetts known for its rural character and proximity to the Berkshire Mountains.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa6566cd808190a67f33ad47d8ca8e |
completed | March 6, 2026, 5:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf5645808190a774d96cfe5c5e58 |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:32 p.m.