Triple
T962850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derbyshire |
E20773
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Dronfield |
E77452
|
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: Dronfield | Statement: [Derbyshire, containsSettlement, Dronfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dronfield Context triple: [Derbyshire, containsSettlement, Dronfield]
-
A.
Dronfield
chosen
Dronfield is a small town in Derbyshire, England, situated between Sheffield and Chesterfield and known for its historic buildings and residential character.
-
B.
Hathersage
Hathersage is a picturesque village in Derbyshire, England, known for its scenic setting in the Peak District and its associations with Charlotte Brontë and Robin Hood legends.
-
C.
Hebden Bridge
Hebden Bridge is a small, picturesque market town in West Yorkshire, England, known for its artistic community, independent shops, and scenic setting in the Calder Valley.
-
D.
Milnrow
Milnrow is a town in Greater Manchester, England, historically part of Lancashire and known for its textile heritage and proximity to the Pennine hills.
-
E.
Mirfield
Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b416cf4c8190bd685227db25fb53 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11a6107481909b152291a73958d3 |
completed | March 7, 2026, 11:53 a.m. |
Created at: March 1, 2026, 7:40 p.m.