Triple
T23076337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stourport-on-Severn |
E575339
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object | Bewdley |
—
|
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: Bewdley | Statement: [Stourport-on-Severn, hasNeighbouringSettlement, Bewdley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bewdley Context triple: [Stourport-on-Severn, hasNeighbouringSettlement, Bewdley]
-
A.
Bewdley
chosen
Bewdley is a historic riverside town in Worcestershire, England, known for its Georgian architecture and picturesque setting on the River Severn.
-
B.
Bewley
Bewley is an English-language surname borne by various notable individuals across fields such as acting, sports, and public service.
-
C.
Bardwell
Bardwell is a small city in western Kentucky that serves as the administrative and governmental center of Carlisle County.
-
D.
Bardwell
Bardwell is a small rural village and civil parish in the county of Suffolk in eastern England.
-
E.
Bywell
Bywell is a small historic village in Northumberland, England, situated on the north bank of the River Tyne and known for its medieval churches and castle ruins.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c63870c81909a08a3b410c0d417 |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.