Triple

T13165148
Position Surface form Disambiguated ID Type / Status
Subject Espanola, Ontario E312830 entity
Predicate region P40 FINISHED
Object Northern Ontario E22034 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 Ontario | Statement: [Espanola, Ontario, region, Northern Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Ontario
Context triple: [Espanola, Ontario, region, Northern Ontario]
  • A. Northern Ontario chosen
    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.
  • B. North Ontario
    North Ontario is the former name of a historic community area that later became part of the city of Upland in San Bernardino County, California.
  • C. 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.
  • D. northeastern Ontario
    Northeastern Ontario is a sparsely populated, resource-rich region of Ontario, Canada, known for its vast forests, lakes, and mining and forestry industries.
  • E. Southern Ontario
    Southern Ontario is the densely populated, industrial and economic heartland of Ontario, Canada, encompassing major cities such as Toronto, Hamilton, and London.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c0bf5a48190bf245dceee24b579 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a2a3f2881909af3e146ee24062d completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:13 p.m.