Triple

T5548713
Position Surface form Disambiguated ID Type / Status
Subject Edwards School of Business E145472 entity
Predicate locatedIn P40 FINISHED
Object Saskatchewan E15926 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: Saskatchewan | Statement: [Edwards School of Business, locatedIn, Saskatchewan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saskatchewan
Context triple: [Edwards School of Business, locatedIn, Saskatchewan]
  • A. Saskatchewan chosen
    Saskatchewan is a prairie and boreal province in western Canada known for its vast flat landscapes, agriculture, and significant natural resources.
  • B. Manitoba
    Manitoba is a central Canadian province known for its vast prairies, numerous lakes, and northern boreal forests.
  • C. Alberta
    Alberta is a western Canadian province known for its vast prairies, Rocky Mountains, and significant natural resource industries.
  • D. Prince Albert, Saskatchewan
    Prince Albert, Saskatchewan is a small city in central Saskatchewan, Canada, known as a regional service hub and gateway to nearby lakes, forests, and outdoor recreation areas.
  • E. Northern Saskatchewan
    Northern Saskatchewan is a sparsely populated, boreal forest and lake-rich region of northern Canada known for its remote wilderness, uranium mining, and Indigenous communities.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe143ec8190bb67d2530c92a419 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059e39b7c81908c5eb3e940366562 completed March 22, 2026, 9:06 p.m.
Created at: March 22, 2026, 3:35 p.m.