Triple
T21348493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watchet |
E526406
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Williton |
E936080
|
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: Williton | Statement: [Watchet, near, Williton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Williton Context triple: [Watchet, near, Williton]
-
A.
Williton
chosen
Williton is a large village and civil parish in Somerset, England, serving as an important local hub near the coast and the Quantock Hills.
-
B.
Upington
Upington is a town in South Africa’s Northern Cape province, serving as a key regional center on the Orange River and a gateway to nearby desert and wildlife attractions.
-
C.
Simington
Simington is a surname variant of Symington, typically of Scottish origin and associated with families from places bearing that name.
-
D.
Worston
Worston is a small rural village and civil parish in Lancashire, England, situated within the Ribble Valley district.
-
E.
Warnham
Warnham is a rural village and civil parish in West Sussex, England, known for its traditional English countryside character and proximity to the town of Horsham.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69ee5baab4e081908916a289c607cf3a |
completed | April 26, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad5b7f80819098ad83e864fa556f |
completed | May 17, 2026, 11:58 a.m. |
Created at: April 16, 2026, 5:02 p.m.