Triple
T18740614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rugeley Town railway station |
E458280
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Walsall |
—
|
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: Walsall | Statement: [Rugeley Town railway station, connectsTo, Walsall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walsall Context triple: [Rugeley Town railway station, connectsTo, Walsall]
-
A.
Walsall
chosen
Walsall is a large industrial town in England known historically for its leather trade and manufacturing, situated within the West Midlands region.
-
B.
Wolverhampton
Wolverhampton is a large industrial city in England’s West Midlands, known historically for its role in the coal, steel, and manufacturing industries.
-
C.
Solihull
Solihull is a large town and metropolitan borough in England known for its affluent suburbs, historic architecture, and proximity to Birmingham in the West Midlands.
-
D.
West Bromwich
West Bromwich is a large industrial town in the West Midlands of England, historically known for its manufacturing heritage and home to the football club West Bromwich Albion.
-
E.
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.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768d6a208190817abe904fab433b |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.