Triple
T13691193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dennington |
E328265
|
entity |
| Predicate | civilParishOf |
P9019
|
FINISHED |
| Object | Dennington |
E328265
|
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: Dennington | Statement: [Dennington, civilParishOf, Dennington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennington Context triple: [Dennington, civilParishOf, Dennington]
-
A.
Dennington
chosen
Dennington is a rural village and civil parish located in the English county of Suffolk.
-
B.
Dinnington
Dinnington is a town in South Yorkshire, England, historically associated with coal mining and now part of the Metropolitan Borough of Rotherham.
-
C.
Donnington
Donnington is a small village in West Sussex, England, situated on the Manhood Peninsula just south of Chichester.
-
D.
Northton
Northton is a small coastal village on the Isle of Harris in Scotland’s Outer Hebrides, known for its scenic beaches, machair grasslands, and archaeological sites.
-
E.
Yeading
Yeading is a suburban district in the London Borough of Hillingdon in west London, England.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8746458819095ec1ba3c01ef31b |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944b93d88190806d6b5735f7e794 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.