Triple
T409335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Mersey |
E9452
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Widnes |
E15899
|
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: Widnes | Statement: [River Mersey, flowsThrough, Widnes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Widnes Context triple: [River Mersey, flowsThrough, Widnes]
-
A.
Widnes
chosen
Widnes is an industrial town in Cheshire, England, historically known for its chemical industry and location on the River Mersey.
-
B.
Warrington
Warrington is a large town in Cheshire, England, situated between Liverpool and Manchester on the River Mersey and known historically for its role in industry and transport.
-
C.
Runcorn
Runcorn is an industrial town in Cheshire, England, situated on the southern bank of the River Mersey and known for its chemical industry and transport links.
-
D.
Wigan
Wigan is a large town in North West England known historically for its coal mining and cotton industries and today for its rugby league and football clubs.
-
E.
Worsley
Worsley is a village in Greater Manchester, England, historically significant as a coal-mining and canal hub central to the early Industrial Revolution.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecc098c4819088d127c5ea55ced9 |
completed | Feb. 28, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4429ec70c8190aaff2e0e6af82612 |
completed | March 1, 2026, 1:43 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.