Triple
T21000576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonersh |
E517274
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Cranleigh |
—
|
NE NERFINISHED |
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: Cranleigh | Statement: [Wonersh, locatedNear, Cranleigh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cranleigh Context triple: [Wonersh, locatedNear, Cranleigh]
-
A.
Cranleigh
chosen
Cranleigh is a large village and civil parish in the county of Surrey in southeast England, known for its rural setting and local amenities.
-
B.
Cranleigh Waters
Cranleigh Waters is a small river in Surrey, England, that flows through the village of Cranleigh and joins the River Wey.
-
C.
Adcote
Adcote is a Victorian country house in Shropshire, England, designed in the late 19th century by architect Richard Norman Shaw in a distinctive Tudor Revival style.
-
D.
Bryanston
Bryanston is an affluent residential and commercial suburb located within the Sandton area of Johannesburg, South Africa.
-
E.
Shepherdswell
Shepherdswell is a village in Kent, England, situated in the Dover district and known for its rural setting and historic parish church.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc24a6dc8190a6bf81cf1d9590c0 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.