Triple
T12903052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coxhoe Hall |
E308656
|
entity |
| Predicate | parish |
P2739
|
FINISHED |
| Object | Coxhoe |
E1008524
|
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: Coxhoe | Statement: [Coxhoe Hall, parish, Coxhoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coxhoe Context triple: [Coxhoe Hall, parish, Coxhoe]
-
A.
Coxhoe
chosen
Coxhoe is a village in County Durham, England, known historically for its coal mining heritage and as the site of Coxhoe Hall.
-
B.
Huncoat
Huncoat is a village in Lancashire, England, situated within the borough of Hyndburn near the town of Accrington.
-
C.
Shiremoor
Shiremoor is a village in the Metropolitan Borough of North Tyneside in Tyne and Wear, England, situated near the North Sea coast and forming part of the Tyneside urban area.
-
D.
Barmston
Barmston is a residential area within Washington in the metropolitan county of Tyne and Wear in North East England.
-
E.
Ribblehead
Ribblehead is a remote hamlet in North Yorkshire, England, best known for its dramatic moorland setting and the iconic Ribblehead Viaduct on the Settle–Carlisle railway.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971820e008190bf8bc7c392c8bcbb |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af59f3cc81908c99bcde43e724e6 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:40 p.m.