Triple
T3489839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M58 motorway |
E73698
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Wigan |
E34961
|
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: Wigan | Statement: [M58 motorway, near, Wigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wigan Context triple: [M58 motorway, near, Wigan]
-
A.
Wigan
chosen
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.
-
B.
Salford
Salford is a city in Greater Manchester, England, known for its industrial heritage and the modern MediaCityUK development on the Salford Quays.
-
C.
Salford
Salford is a small rural village in the West Oxfordshire district of Oxfordshire, England.
-
D.
Rochdale
Rochdale is a large town in Greater Manchester, England, historically known as a mill town and cooperative movement birthplace, now serving as a residential and commercial hub connected by rail to Manchester.
-
E.
Leeds
Leeds is a major city in West Yorkshire, England, known as a key commercial, cultural, and educational center in the north of the country.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbb94190c8190a81eb41042e51a00 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4d4c92c8190b237746733b10e50 |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 8, 2026, 3:18 p.m.