Triple
T3578612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirklees |
E75746
|
entity |
| Predicate | includesTown |
P847
|
FINISHED |
| Object | Cleckheaton |
E303339
|
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: Cleckheaton | Statement: [Kirklees, includesTown, Cleckheaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cleckheaton Context triple: [Kirklees, includesTown, Cleckheaton]
-
A.
Cleckheaton
chosen
Cleckheaton is a town in West Yorkshire, England, historically part of the Heavy Woollen District and known for its textile industry heritage.
-
B.
Mirfield
Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
-
C.
Yorkton
Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
-
D.
Malton
Malton is a diverse residential and industrial neighbourhood in the northeastern part of Mississauga, Ontario, known for its proximity to Toronto Pearson International Airport.
-
E.
Northallerton
Northallerton is a historic market town and the county town of North Yorkshire, England, known for its traditional high street and role as an administrative and commercial centre for the surrounding rural area.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0defe14819095a337a840e33300 |
completed | March 8, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bbc6bc948190a517639f5d79c0a3 |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:21 p.m.