Triple
T941302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lightwater |
E20311
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Windlesham |
E27354
|
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: Windlesham | Statement: [Lightwater, locatedNear, Windlesham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windlesham Context triple: [Lightwater, locatedNear, Windlesham]
-
A.
Windlesham
chosen
Windlesham is a village and civil parish in the Surrey Heath district of Surrey, England, known for its affluent residential character and leafy surroundings.
-
B.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
-
C.
Wilcote
Wilcote is a small rural village in the district of West Oxfordshire in Oxfordshire, England.
-
D.
Shardlow
Shardlow is a historic village in Derbyshire, England, known for its canal heritage and role as an important inland port during the industrial era.
-
E.
Culcheth
Culcheth is a large village and civil parish in Cheshire, England, known for its residential character and proximity to the town of Warrington.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b38cc6888190b1d9043ec8fbcbc3 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf0949c481908868bd27eeb964b4 |
completed | March 8, 2026, 12:12 a.m. |
Created at: March 1, 2026, 7:40 p.m.