Triple

T8754915
Position Surface form Disambiguated ID Type / Status
Subject Oshawa City Council E208049 entity
Predicate jurisdiction P82 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 City Council, jurisdiction, Oshawa, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oshawa, Ontario
Context triple: [Oshawa City Council, jurisdiction, 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5dd83088819082cf54adc0c04243 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cffd5e548c8190898c01f9b8a27175 completed April 3, 2026, 5:48 p.m.
Created at: March 30, 2026, 6:39 p.m.