Triple
T4701661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peak Forest Canal |
E104287
|
entity |
| Predicate | terminus |
P388
|
FINISHED |
| Object | Dukinfield |
E155718
|
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: Dukinfield | Statement: [Peak Forest Canal, terminus, Dukinfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dukinfield Context triple: [Peak Forest Canal, terminus, Dukinfield]
-
A.
Dukinfield
chosen
Dukinfield is a town in Greater Manchester, England, situated on the River Tame and forming part of the metropolitan borough of Tameside.
-
B.
Dronfield
Dronfield is a small town in Derbyshire, England, situated between Sheffield and Chesterfield and known for its historic buildings and residential character.
-
C.
Douglasfield
Douglasfield is a locality in Scotland situated near the Dighty Water stream.
-
D.
Withersfield
Withersfield is a small rural village and civil parish located in the English county of Suffolk.
-
E.
Engleby
Engleby is a psychological novel by Sebastian Faulks that follows the unsettling, introspective narrative of a socially isolated Cambridge student who may be involved in a mysterious disappearance.
- 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_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63cec7988190b5f1d04d4f95314a |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03ca24848190aa7df32472647cae |
completed | March 21, 2026, 2:34 a.m. |
Created at: March 20, 2026, 1:17 p.m.