Triple
T2310306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterfoot |
E51939
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
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: [Waterfoot, hasNeighbouringSettlement, Bacup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bacup Context triple: [Waterfoot, hasNeighbouringSettlement, 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.
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.
-
C.
Todmorden
Todmorden is a market town in West Yorkshire, England, known for its industrial heritage, surrounding Pennine countryside, and community-led urban agriculture initiatives.
-
D.
Colne
Colne is a historic market town in Lancashire, England, known for its textile heritage and location near the Pennine hills.
-
E.
Barnsley
Barnsley is a large market town and former industrial centre in South Yorkshire, England, historically known for coal mining and glassmaking.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc6098ce88190ba2e987e6f0737ac |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8959d860819095ea3113e3d9264e |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:49 p.m.