Triple
T14631810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Wylye |
E343495
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Sutton Veny |
E814378
|
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: Sutton Veny | Statement: [River Wylye, flowsThrough, Sutton Veny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sutton Veny Context triple: [River Wylye, flowsThrough, Sutton Veny]
-
A.
Sutton Veny
chosen
Sutton Veny is a rural village and civil parish in Wiltshire, England, known for its historic church, World War I military cemetery, and scenic countryside setting.
-
B.
Sutton Broad
Sutton Broad is a shallow freshwater lake in the Norfolk Broads of England, valued for its wildlife habitats and recreational boating.
-
C.
Sutton Bonington
Sutton Bonington is a rural English village in Nottinghamshire known for its agricultural heritage and as the site of a major University of Nottingham campus.
-
D.
Burnham Sutton
Burnham Sutton is a small village in Norfolk, England, forming part of the historic cluster of Burnham settlements near the north Norfolk coast.
-
E.
Shrivenham
Shrivenham is a village in Oxfordshire, England, known for its historic high street, rural setting, and association with nearby military and academic institutions.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d0514081908c2bdc4fb77b1a7a |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.