Triple
T17774145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Borough of Walsall |
E443720
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Brownhills |
E1325063
|
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: Brownhills | Statement: [Metropolitan Borough of Walsall, contains, Brownhills]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brownhills Context triple: [Metropolitan Borough of Walsall, contains, Brownhills]
-
A.
Brownhills
chosen
Brownhills is a town in the West Midlands of England, historically associated with coal mining and located near Walsall and Cannock Chase.
-
B.
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.
-
C.
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.
-
D.
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.
-
E.
Wednesbury
Wednesbury is an industrial town in the West Midlands of England, historically known for its manufacturing and coal mining heritage.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871af4248190aed2b3bd42433771 |
completed | April 19, 2026, 7:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049abe0f5c81909bee53d18f186e0c |
completed | May 13, 2026, 3:37 p.m. |
Created at: April 10, 2026, 10:12 a.m.