Triple

T8853549
Position Surface form Disambiguated ID Type / Status
Subject Oshawa Executive Airport E210695 entity
Predicate owner P347 FINISHED
Object City of Oshawa E715636 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: City of Oshawa | Statement: [Oshawa Executive Airport, owner, City of Oshawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Oshawa
Context triple: [Oshawa Executive Airport, owner, City of Oshawa]
  • A. Oshawa
    Oshawa is a city in southern Ontario, Canada, known historically as a major automotive manufacturing center and part of the Greater Toronto Area.
  • B. St. Catharines
    St. Catharines is a city in southern Ontario, Canada, known for its location near Niagara Falls and its role as a regional commercial and manufacturing center.
  • C. Oshawa, Ontario, Canada chosen
    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.
  • D. Oakland, Ontario
    Oakland, Ontario is a small rural community located within the County of Brant in southwestern Ontario, Canada.
  • E. Brantford
    Brantford is a city in southwestern Ontario, Canada, known as the hometown of hockey legend Wayne Gretzky and for its historic role in the development of telephone technology.
  • 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_69d181fc06c48190b6a7444d975b1e09 completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 6:49 p.m.