Triple
T6782896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tameside General Hospital |
E155727
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Glossop |
E105298
|
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: Glossop | Statement: [Tameside General Hospital, serves, Glossop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glossop Context triple: [Tameside General Hospital, serves, 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.
Congleton
Congleton is a historic market town in the county of Cheshire in North West England, known for its industrial heritage and riverside setting.
-
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.
Cannock
Cannock is a market town in the Cannock Chase district of Staffordshire, England, known historically for coal mining and its proximity to the Cannock Chase Area of Outstanding Natural Beauty.
-
E.
Rowsley
Rowsley is a village in Derbyshire, England, known for its scenic location near the Peak District and its historic railway and riverside setting.
- 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_69c688162bf8819088b664b5c3b5be7a |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d289958481908ad4f9467a107083 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a84c0c48190be87bff2da4e69a1 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:14 p.m.