Triple

T11380803
Position Surface form Disambiguated ID Type / Status
Subject Rosedale E269587 entity
Predicate partOfElectoralDistrict P9851 FINISHED
Object Toronto Centre E646438 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: Toronto Centre | Statement: [Rosedale, partOfElectoralDistrict, Toronto Centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto Centre
Context triple: [Rosedale, partOfElectoralDistrict, Toronto Centre]
  • A. Toronto Centre chosen
    Toronto Centre is a densely populated federal electoral district in downtown Toronto, Ontario, known for its diverse communities and significant political prominence.
  • B. Downtown Toronto
    Downtown Toronto is the city’s primary central business district and cultural core, known for its dense skyline, major attractions, and vibrant urban life.
  • C. Midtown Toronto
    Midtown Toronto is a central district of Toronto known for its mix of residential neighborhoods, historic landmarks, and vibrant commercial areas.
  • D. Etobicoke Centre
    Etobicoke Centre is a federal electoral district in Toronto, Ontario, represented in the House of Commons of Canada.
  • E. Toronto
    Toronto is the largest city in Canada and a major cultural, financial, and media hub located in the province of Ontario.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc331f188190a7f69f1aae53fb6b completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8be6d448190ba1e7197f8fc01c2 completed April 20, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:34 p.m.