Triple
T19246197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Spirit School Division |
E481262
|
entity |
| Predicate | operatesIn |
P82
|
FINISHED |
| Object | Canora |
—
|
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: Canora | Statement: [Good Spirit School Division, operatesIn, Canora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canora Context triple: [Good Spirit School Division, operatesIn, Canora]
-
A.
Canora
chosen
Canora is a small town in east-central Saskatchewan, Canada, known as a regional service centre with strong Ukrainian heritage and proximity to several lakes and parks.
-
B.
Ponoka
Ponoka is a small town in central Alberta, Canada, known for its agricultural community and annual rodeo events.
-
C.
Chapleau
Chapleau is a small, remote community in northern Ontario, Canada, known for its surrounding boreal wilderness and proximity to the Chapleau Crown Game Preserve.
-
D.
Nanton
Nanton is a small town in southern Alberta, Canada, known for its historic grain elevators, aviation museum, and location along a major north–south transportation corridor.
-
E.
Lumsden
Lumsden is a small rural town in New Zealand’s Southland region, serving as a local service and transport hub for the surrounding farming communities.
- 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_69e5fb2c34e88190a338e5a7ba906425 |
completed | April 20, 2026, 10:08 a.m. |
Created at: April 10, 2026, 1:27 p.m.