Triple
T13405947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentmere |
E319956
|
entity |
| Predicate | hasAccessRoadFrom |
P22549
|
FINISHED |
| Object | Staveley |
E319957
|
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: Staveley | Statement: [Kentmere, hasAccessRoadFrom, Staveley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Staveley Context triple: [Kentmere, hasAccessRoadFrom, Staveley]
-
A.
Staveley
chosen
Staveley is a village in Cumbria, England, situated in the Lake District and known for its scenic surroundings and outdoor recreation.
-
B.
Staveley
Staveley is a town in Derbyshire, England, known historically for its coal mining and ironworks industries.
-
C.
Styal
Styal is a village in Cheshire, England, known for its historic cotton mill and role in the early Industrial Revolution.
-
D.
Heptonstall
Heptonstall is a historic hilltop village in West Yorkshire, England, known for its cobbled streets, traditional stone buildings, and association with poet Sylvia Plath.
-
E.
Rawtenstall
Rawtenstall is a small former mill town in Lancashire, England, known for its industrial heritage and location within the Rossendale Valley.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4be498819094798473a1bfd853 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739857dd4819087e64b956a814939 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:34 p.m.