Triple

T58172
Position Surface form Disambiguated ID Type / Status
Subject Great Lakes E1151 entity
Predicate borderedBy P224 FINISHED
Object Ontario E3554 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: Ontario | Statement: [Great Lakes, borderedBy, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ontario
Context triple: [Great Lakes, borderedBy, Ontario]
  • A. Ontario chosen
    Ontario is Canada’s most populous province, home to the nation’s capital Ottawa and its largest city Toronto, and a major economic and cultural hub.
  • B. British Columbia
    British Columbia is a western Canadian province known for its Pacific coastline, mountainous landscapes, and major cities such as Vancouver and Victoria.
  • C. Upper Canada
    Upper Canada was a British colony established in 1791 in what is now southern Ontario, created to govern the predominantly English-speaking Loyalist settlements west of the Ottawa River.
  • D. Province of Quebec
    The Province of Quebec was a British colonial territory in North America that encompassed much of present-day Quebec and parts of surrounding regions following the Seven Years' War.
  • E. 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.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b1d133c819098a2f2447bbd9339 completed Feb. 28, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69a284f9fcd48190a3331f06d5dc00e8 completed Feb. 28, 2026, 6:02 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.