Triple
T2649738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haslingden |
E53867
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Blackburn |
E42839
|
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: Blackburn | Statement: [Haslingden, locatedNear, Blackburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blackburn Context triple: [Haslingden, locatedNear, Blackburn]
-
A.
Blackburn
chosen
Blackburn is a large industrial town in Lancashire, England, historically known for its textile manufacturing and located north of Manchester.
-
B.
Blackburn
Blackburn is a small town in West Lothian, Scotland, known primarily as a residential community within the Central Belt.
-
C.
Bolton
Bolton is a large town in North West England known for its industrial heritage, particularly in textile manufacturing, and its location northwest of Manchester.
-
D.
Birkenhead
Birkenhead is a town in north west England, situated on the Wirral Peninsula across the River Mersey from Liverpool, known historically for its shipbuilding and docks.
-
E.
Bradford
Bradford is a major city in West Yorkshire, Northern England, known for its industrial heritage, diverse population, and role in the wool and textile industries.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd91ca1288190ba302b04bac4c153 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d3d6a54819090068ef1807ca921 |
completed | March 10, 2026, 1:31 p.m. |
Created at: March 6, 2026, 9:53 p.m.