Triple
T4930011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Country |
E110670
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bilston
Bilston is an industrial town in the West Midlands of England, historically known for its steelworks and foundries and now part of the Wolverhampton urban area.
|
E482296
|
NE FINISHED |
How this triple was built (4 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: Bilston | Statement: [Black Country, contains, Bilston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bilston Context triple: [Black Country, contains, Bilston]
-
A.
Bilston
Bilston is a small village in Midlothian, Scotland, known for its rural character and proximity to Edinburgh.
-
B.
Broseley
Broseley is a small historic town in Shropshire, England, known for its role in the early Industrial Revolution and its proximity to the Ironbridge Gorge World Heritage Site.
-
C.
Stourbridge
Stourbridge is a town in the West Midlands of England known historically for its glassmaking industry and its location within the Metropolitan Borough of Dudley.
-
D.
Shotts
Shotts is a small town in central Scotland known historically for its coal mining and industrial heritage.
-
E.
Bishopston
Bishopston is a coastal village in Swansea, Wales, known for its scenic location near the Gower Peninsula’s cliffs and beaches.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bilston Triple: [Black Country, contains, Bilston]
Generated description
Bilston is an industrial town in the West Midlands of England, historically known for its steelworks and foundries and now part of the Wolverhampton urban area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bilston Target entity description: Bilston is an industrial town in the West Midlands of England, historically known for its steelworks and foundries and now part of the Wolverhampton urban area.
-
A.
Bilston
Bilston is a small village in Midlothian, Scotland, known for its rural character and proximity to Edinburgh.
-
B.
Broseley
Broseley is a small historic town in Shropshire, England, known for its role in the early Industrial Revolution and its proximity to the Ironbridge Gorge World Heritage Site.
-
C.
Stourbridge
Stourbridge is a town in the West Midlands of England known historically for its glassmaking industry and its location within the Metropolitan Borough of Dudley.
-
D.
Shotts
Shotts is a small town in central Scotland known historically for its coal mining and industrial heritage.
-
E.
Bishopston
Bishopston is a coastal village in Swansea, Wales, known for its scenic location near the Gower Peninsula’s cliffs and beaches.
- F. None of above. chosen
Provenance (5 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd703a0fa48190809b6ac3f2731349 |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81c2cb288190b0a603992c08235c |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be83318d948190a5fb3d7cf8cff497 |
completed | March 21, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be839b52bc8190aeddc775913254b4 |
completed | March 21, 2026, 11:40 a.m. |
Created at: March 20, 2026, 1:30 p.m.