Triple
T19285435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilston |
E482296
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Wednesbury |
E742858
|
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: Wednesbury | Statement: [Bilston, locatedNear, Wednesbury]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wednesbury Context triple: [Bilston, locatedNear, Wednesbury]
-
A.
Wednesbury
chosen
Wednesbury is an industrial town in the West Midlands of England, historically known for its manufacturing and coal mining heritage.
-
B.
Smethwick
Smethwick is an industrial town in the West Midlands of England, historically known for its role in the Industrial Revolution and later incorporated into the metropolitan borough of Sandwell.
-
C.
Halesowen
Halesowen is a town in the West Midlands of England, historically part of Worcestershire, known for its industrial heritage and proximity to Birmingham.
-
D.
Brierley Hill
Brierley Hill is a town in the West Midlands of England, historically part of the industrial Black Country and known for its glassmaking and manufacturing heritage.
-
E.
Sutton Coldfield
Sutton Coldfield is a suburban town within the city of Birmingham in England’s West Midlands, known for its large urban park and affluent residential areas.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc0152d48190b92272d4c7caa708 |
completed | April 20, 2026, 10:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e80d5b08190b304a874dac3d21d |
completed | May 15, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:30 p.m.