Triple
T7597752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M65 motorway |
E179899
|
entity |
| Predicate | servesTown |
P847
|
FINISHED |
| Object | Brierfield |
E180418
|
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: Brierfield | Statement: [M65 motorway, servesTown, Brierfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brierfield Context triple: [M65 motorway, servesTown, Brierfield]
-
A.
Brierfield
chosen
Brierfield is a small town in Lancashire, England, known for its historic textile industry and location near the town of Nelson.
-
B.
Bonfield
Bonfield is a small rural community in northeastern Ontario, Canada, known for its lakeside setting and outdoor recreational opportunities.
-
C.
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.
-
D.
Northenden
Northenden is a suburban area of Manchester, England, situated on the River Mersey in the south of the city.
-
E.
Douglasfield
Douglasfield is a locality in Scotland situated near the Dighty Water stream.
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9d4d3408190b9650347c7850c47 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a20f6a288190befdc1063e4aa72c |
completed | March 29, 2026, 3:52 a.m. |
Created at: March 27, 2026, 3:53 p.m.