Triple
T7104397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cranleigh Waters |
E165539
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Bramley |
E517273
|
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: Bramley | Statement: [Cranleigh Waters, flowsThrough, Bramley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bramley Context triple: [Cranleigh Waters, flowsThrough, Bramley]
-
A.
Bramley
chosen
Bramley is a village in Surrey, England, known for its historic buildings and rural character within the Borough of Waverley.
-
B.
Lydbrook
Lydbrook is a village in Gloucestershire, England, situated in the Wye Valley on the edge of the Forest of Dean and historically known for its coal mining and industrial heritage.
-
C.
Knaphill
Knaphill is a suburban village in Surrey, England, forming part of the borough of Woking.
-
D.
Barnes Green
Barnes Green is a small public green and pond area in the riverside district of Barnes in southwest London, serving as a local park and community focal point.
-
E.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58b3f708190bebca7d4c4db40f2 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cad60788190bb2b17d1c3f8e1cc |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:42 p.m.