Triple
T10674949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yorkton Film Festival |
E251590
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Yorkton |
E110928
|
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: Yorkton | Statement: [Yorkton Film Festival, location, Yorkton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yorkton Context triple: [Yorkton Film Festival, location, 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.
Melton Mowbray
Melton Mowbray is a market town in Leicestershire, England, famed for its traditional pork pies and Stilton cheese.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fb935ca88190b1312d3d53902af5 |
completed | April 9, 2026, 1:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98876222c8190be638bdfa3ce4ceb |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:09 p.m.