Triple
T13691093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bromeswell |
E328262
|
entity |
| Predicate | civilParish |
P2739
|
FINISHED |
| Object | Bromeswell |
E328262
|
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: Bromeswell | Statement: [Bromeswell, civilParish, Bromeswell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bromeswell Context triple: [Bromeswell, civilParish, Bromeswell]
-
A.
Bromeswell
chosen
Bromeswell is a small rural village and civil parish in the English county of Suffolk.
-
B.
Elmswell
Elmswell is a village and civil parish in the county of Suffolk in eastern England.
-
C.
Bradenham
Bradenham is a village in Norfolk, England, known for its rural setting and proximity to the River Wissey.
-
D.
Bennetts End
Bennetts End is a residential area and suburb located within the county of Hertfordshire in England.
-
E.
Northbourne
Northbourne is a small village and civil parish in Kent, England, known for its rural character and historic church.
- 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.