Triple
T8584038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werrington |
E203256
|
entity |
| Predicate | hasAmenity |
P105
|
FINISHED |
| Object | Werrington Centre |
E203256
|
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: Werrington Centre | Statement: [Werrington, hasAmenity, Werrington Centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Werrington Centre Context triple: [Werrington, hasAmenity, Werrington Centre]
-
A.
Werrington
chosen
Werrington is a suburban residential area and former village now incorporated into the city of Peterborough in Cambridgeshire, England.
-
B.
Withington
Withington is a residential suburb in south Manchester, England, known for its mixed student and professional population and good transport links to the city centre.
-
C.
Worston
Worston is a small rural village and civil parish in Lancashire, England, situated within the Ribble Valley district.
-
D.
Wolverton
Wolverton is a historic railway town in Buckinghamshire, England, now part of the Milton Keynes urban area.
-
E.
Wroughton
Wroughton is a large village and civil parish in Wiltshire, England, situated just south of the town of Swindon.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1ecc188190bbe2ab8d2423505b |
completed | March 31, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89bfb95c81909660460d5813fdaf |
completed | April 2, 2026, 3:22 p.m. |
Created at: March 30, 2026, 6:22 p.m.