Triple

T4191391
Position Surface form Disambiguated ID Type / Status
Subject CST E89044 entity
Predicate usedInRegion P908 FINISHED
Object central Canada E147501 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: central Canada | Statement: [CST, usedInRegion, central Canada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Canada
Context triple: [CST, usedInRegion, central Canada]
  • A. central Canada chosen
    Central Canada is a broad geographic region of the country that includes parts of Ontario and Manitoba and has long been home to Indigenous peoples such as the Ojibwe.
  • B. Central Ontario
    Central Ontario is a predominantly rural and recreational region of Ontario known for its lakes, forests, cottage country, and outdoor tourism.
  • C. southern Canada
    Southern Canada is the more temperate, heavily populated band of Canada stretching along the U.S. border, characterized by mixed forests, major cities, and extensive agricultural and industrial regions.
  • D. Southern Ontario
    Southern Ontario is the densely populated, industrial and economic heartland of Ontario, Canada, encompassing major cities such as Toronto, Hamilton, and London.
  • E. Northern Ontario
    Northern Ontario is a vast, sparsely populated region of Ontario known for its boreal forests, abundant lakes, mining and forestry industries, and predominantly rural 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af034019848190bd5486521c375325 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a08bb6881909bdd7643626e1a64 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.