Triple
T19791394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broseley Wood |
E475418
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Broseley civil parish |
—
|
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: Broseley civil parish | Statement: [Broseley Wood, partOf, Broseley civil parish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broseley civil parish Context triple: [Broseley Wood, partOf, Broseley civil parish]
-
A.
Broseley
chosen
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.
-
B.
Coseley
Coseley is a town in the West Midlands of England, situated between Wolverhampton and Dudley within the Black Country region.
-
C.
Wrottesley
Wrottesley is an English surname historically associated with a prominent aristocratic family and the title Baron Wrottesley.
-
D.
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.
-
E.
Bilston
Bilston is a small village in Midlothian, Scotland, known for its rural character and proximity to Edinburgh.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c217bc819092c517b27ca22087 |
completed | April 20, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:49 p.m.