Triple
T5898247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilcote |
E131153
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | North Leigh |
E105009
|
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: North Leigh | Statement: [Wilcote, nearbySettlement, North Leigh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Leigh Context triple: [Wilcote, nearbySettlement, North Leigh]
-
A.
North Leigh
chosen
North Leigh is a rural village in Oxfordshire, England, known for its historic church and nearby Roman villa remains.
-
B.
South Leigh
South Leigh is a small rural village in Oxfordshire, England, known for its historic church and traditional English countryside setting.
-
C.
Leighton
Leighton is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
-
D.
Leafield
Leafield is a rural village in West Oxfordshire, England, known for its traditional Cotswold character and surrounding countryside.
-
E.
Ashtead
Ashtead is a large suburban village in Surrey, England, known for its residential character, local amenities, and proximity to the town of Leatherhead.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f7b3f48190a499d43f8ffb2fa7 |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b15df86481908b59717b9de63655 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:58 p.m.