Triple

T19246198
Position Surface form Disambiguated ID Type / Status
Subject Good Spirit School Division E481262 entity
Predicate operatesIn P82 FINISHED
Object Kamsack 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: Kamsack | Statement: [Good Spirit School Division, operatesIn, Kamsack]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamsack
Context triple: [Good Spirit School Division, operatesIn, Kamsack]
  • A. Kamsack chosen
    Kamsack is a small town in eastern Saskatchewan, Canada, known as a service and agricultural center near Duck Mountain Provincial Park and the Saskatchewan–Manitoba border.
  • B. Melfort
    Melfort is a small city in east-central Saskatchewan, Canada, known as an agricultural service hub for the surrounding rural region.
  • C. 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.
  • D. North Battleford
    North Battleford is a small city in west-central Saskatchewan, Canada, known as a regional service and transportation hub for the surrounding agricultural area.
  • E. Grande Prairie
    Grande Prairie is a mid-sized city in northwestern Alberta, Canada, known as a regional hub for agriculture, energy, and forestry.
  • 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.