Triple
T6887185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharneyford |
E158950
|
entity |
| Predicate | between |
P1262
|
FINISHED |
| Object | Bacup |
E3866
|
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: Bacup | Statement: [Sharneyford, between, Bacup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bacup Context triple: [Sharneyford, between, Bacup]
-
A.
Bacup
chosen
Bacup is a small former mill town in Lancashire, England, known for its well-preserved Victorian architecture and industrial heritage in the South Pennines.
-
B.
Beckum
Beckum is a town in the district of Warendorf in North Rhine-Westphalia, Germany, known historically for its cement industry and location in the Münsterland region.
-
C.
Ilkley
Ilkley is a spa town in West Yorkshire, England, known for its moorland scenery, Victorian architecture, and literary associations.
-
D.
Belper
Belper is a historic industrial town in central England, noted for its role in the early cotton mill industry and as part of the Derwent Valley Mills World Heritage Site.
-
E.
Baildon
Baildon is a town in West Yorkshire, England, known for its moorland scenery and proximity to the River Aire and the city of Bradford.
- 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_69c688342f6c8190ad7eea6ba262db99 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d90e92488190b738676342ac6393 |
completed | March 27, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c742e249508190ac95be97c0409d4a |
completed | March 28, 2026, 2:54 a.m. |
Created at: March 27, 2026, 2:23 p.m.