Triple
T18625002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishop of Blackburn |
E455256
|
entity |
| Predicate | regionServed |
P82
|
FINISHED |
| Object | Blackburn with Darwen |
—
|
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: Blackburn with Darwen | Statement: [Bishop of Blackburn, regionServed, Blackburn with Darwen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blackburn with Darwen Context triple: [Bishop of Blackburn, regionServed, Blackburn with Darwen]
-
A.
Borough of Blackburn with Darwen
chosen
The Borough of Blackburn with Darwen is a unitary authority area in Lancashire, England, centered on the town of Blackburn and encompassing surrounding urban and rural communities.
-
B.
Blackburn
Blackburn is a small town in West Lothian, Scotland, known primarily as a residential community within the Central Belt.
-
C.
Blackburn
Blackburn is a large industrial town in Lancashire, England, historically known for its textile manufacturing and located north of Manchester.
-
D.
Darwen
Darwen is a market town in Lancashire, England, historically known for its textile industry and location in the West Pennine Moors.
-
E.
Didsbury
Didsbury is a suburban area of Manchester, England, known for its leafy residential streets, independent shops, and vibrant café and bar scene.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f039b408190b51fe770a4c530ec |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.