Triple

T8853535
Position Surface form Disambiguated ID Type / Status
Subject Oshawa Executive Airport E210695 entity
Predicate locatedIn P40 FINISHED
Object Oshawa, Ontario E34994 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: Oshawa, Ontario | Statement: [Oshawa Executive Airport, locatedIn, Oshawa, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oshawa, Ontario
Context triple: [Oshawa Executive Airport, locatedIn, Oshawa, Ontario]
  • A. Oshawa, Ontario, Canada
    Oshawa, Ontario, Canada is an industrial city in the Greater Toronto Area best known as a major automotive manufacturing hub and home to several educational and cultural institutions.
  • B. Oshawa chosen
    Oshawa is a city in southern Ontario, Canada, known historically as a major automotive manufacturing center and part of the Greater Toronto Area.
  • C. Anderson, Ontario
    Anderson, Ontario is a small rural community in Canada best known as the birthplace of former Prime Minister Arthur Meighen.
  • D. Tillsonburg, Ontario
    Tillsonburg, Ontario is a small town in southwestern Ontario known historically for its tobacco farming and agricultural roots.
  • E. Mississauga, Ontario, Canada
    Mississauga, Ontario, Canada is a large suburban city west of Toronto known for its diverse population, major corporate headquarters, and proximity to Toronto Pearson International Airport.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c55e348190957b3bbb7397e380 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69d152541308819098cdca4f3ba9011d completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 6:49 p.m.