Triple

T2699396
Position Surface form Disambiguated ID Type / Status
Subject Northern Canada E59193 entity
Predicate hasPart P35 FINISHED
Object northern Manitoba E128850 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: northern Manitoba | Statement: [Northern Canada, hasPart, northern Manitoba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: northern Manitoba
Context triple: [Northern Canada, hasPart, northern Manitoba]
  • A. Northern Manitoba chosen
    Northern Manitoba is a sparsely populated, subarctic region of the Canadian province of Manitoba known for its Indigenous communities, boreal forests, and remote tundra landscapes.
  • B. Manitoba
    Manitoba is a central Canadian province known for its vast prairies, numerous lakes, and northern boreal forests.
  • C. Emerson, Manitoba
    Emerson, Manitoba is a small Canadian border town in southern Manitoba situated along the Red River near the U.S. state of North Dakota.
  • D. Northwestern Ontario
    Northwestern Ontario is a sparsely populated, resource-rich region of Ontario known for its vast forests, numerous lakes, and communities such as Thunder Bay and Kenora.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda34ba508190be8e2c9e4052adfc completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf70f9088190acd4c8bd05deea47 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.