Triple
T19254553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkton City Council |
E481479
|
entity |
| Predicate | governs |
P760
|
FINISHED |
| Object | Yorkton |
—
|
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: Yorkton | Statement: [Yorkton City Council, governs, Yorkton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yorkton Context triple: [Yorkton City Council, governs, Yorkton]
-
A.
Yorkton
chosen
Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
-
B.
Corby
Corby is a town in Northamptonshire, England, known for its steel industry heritage and significant Scottish community.
-
C.
Doncaster
Doncaster is a large town and metropolitan borough in South Yorkshire, England, known historically for its railway heritage, horse racing, and role as a regional commercial center.
-
D.
Scunthorpe
Scunthorpe is an industrial town in North Lincolnshire, England, historically known for its steel production.
-
E.
Earls Barton
Earls Barton is a historic village in Northamptonshire, England, noted for its Anglo-Saxon church tower and traditional shoe-making heritage.
- 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb3459d08190a7c28ed3f8c82a97 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:28 p.m.