Triple
T21811201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilton Glossop |
E538476
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Glossop |
—
|
NE NERFINISHED |
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: Glossop | Statement: [Hilton Glossop, familyName, Glossop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glossop Context triple: [Hilton Glossop, familyName, Glossop]
-
A.
Glossop
chosen
Glossop is a market town in Derbyshire, England, situated on the edge of the Peak District and historically associated with the textile industry.
-
B.
Glossop
Glossop is a small rural town in South Australia's Riverland region, known for its vineyards and agricultural production.
-
C.
Congleton
Congleton is a historic market town in the county of Cheshire in North West England, known for its industrial heritage and riverside setting.
-
D.
Goldthorpe
Goldthorpe is a former coal mining village in South Yorkshire, England, historically known for its role in the Yorkshire coalfield.
-
E.
Brownhills
Brownhills is a town in the West Midlands of England, historically associated with coal mining and located near Walsall and Cannock Chase.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cc6cdf88190a31129acdc3bcec8 |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 16, 2026, 6:53 p.m.