Triple
T1619091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trent and Mersey Canal |
E34788
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Rugeley |
E103537
|
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: Rugeley | Statement: [Trent and Mersey Canal, passesThrough, Rugeley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rugeley Context triple: [Trent and Mersey Canal, passesThrough, Rugeley]
-
A.
Rugeley
chosen
Rugeley is a market town in Staffordshire, England, historically known for its coal mining industry and location on the River Trent.
-
B.
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.
-
C.
Wolverley
Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
-
D.
Rowsley
Rowsley is a village in Derbyshire, England, known for its scenic location near the Peak District and its historic railway and riverside setting.
-
E.
Lichfield
Lichfield is a historic cathedral city in Staffordshire, England, renowned for its medieval architecture and cultural heritage in the Midlands.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909aef1b881909ef90dbc833a82a3 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58c9ed4c8190a546ec4977f60695 |
completed | March 8, 2026, 11:08 a.m. |
Created at: March 4, 2026, 7:28 p.m.