Triple
T5393085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borough of Waverley |
E120581
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Ewhurst |
E177345
|
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: Ewhurst | Statement: [Borough of Waverley, containsSettlement, Ewhurst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewhurst Context triple: [Borough of Waverley, containsSettlement, Ewhurst]
-
A.
Ewhurst
chosen
Ewhurst is a rural village and civil parish in Surrey, England, known for its scenic countryside setting on the edge of the Surrey Hills.
-
B.
Elswick
Elswick is a district in Newcastle upon Tyne, England, historically known as a major industrial and shipbuilding center.
-
C.
Eastry
Eastry is a historic village and civil parish in Kent, England, known for its rural character and proximity to the coastal town of Deal.
-
D.
Windlestone
Windlestone is a village in County Durham, England, known for its historic country house, Windlestone Hall, and its rural surroundings.
-
E.
Eriswell
Eriswell is a small rural village and civil parish in the English county of Suffolk.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd871b81d08190993928e2c6251226 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf336d43a081909ab05d237c297c7b |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.