Triple
T5265127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Peak |
E118919
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Tintwistle |
E467208
|
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: Tintwistle | Statement: [High Peak, containsSettlement, Tintwistle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tintwistle Context triple: [High Peak, containsSettlement, Tintwistle]
-
A.
Tintwistle
chosen
Tintwistle is a small village and civil parish in the High Peak district of Derbyshire, England, situated near the Longdendale valley and the Peak District National Park.
-
B.
Rudgwick
Rudgwick is a rural village and civil parish in West Sussex, England, known for its countryside setting near the Surrey border.
-
C.
Thirsk
Thirsk is a historic market town in northern England, best known as the home of veterinarian-author James Herriot and as a gateway to the North York Moors.
-
D.
Giggleswick
Giggleswick is a historic village in North Yorkshire, England, known for its picturesque setting near Settle and its renowned independent school, Giggleswick School.
-
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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bf89ae481908835b711fb2696fd |
completed | March 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe8b787881909be9c01d1ba52561 |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:51 p.m.