Triple

T882850
Position Surface form Disambiguated ID Type / Status
Subject Etobicoke E19064 entity
Predicate municipalRepresentation P20720 FINISHED
Object Etobicoke North ward(s) E19064 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: Etobicoke North ward(s) | Statement: [Etobicoke, municipalRepresentation, Etobicoke North ward(s)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etobicoke North ward(s)
Context triple: [Etobicoke, municipalRepresentation, Etobicoke North ward(s)]
  • A. Ottawa South
    Ottawa South is a Canadian federal electoral district located in the southern part of Ottawa, Ontario, represented in the House of Commons.
  • B. Etobicoke chosen
    Etobicoke is a large suburban district in the western part of Toronto, Ontario, known for its residential neighborhoods, parks, and industrial areas along the waterfront.
  • C. Kanata—Carleton
    Kanata—Carleton is a Canadian federal electoral district in Ontario that includes the western suburbs and rural areas of Ottawa.
  • D. North York
    North York is a major district in the north end of Toronto, Ontario, known for its dense urban development, shopping centers, and mixed residential and commercial areas.
  • E. Vaughan
    Vaughan is a rapidly growing suburban city in the Greater Toronto Area known for its diverse communities, shopping and entertainment complexes, and attractions like Canada’s Wonderland.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2b8063081909566c404ca63a29e completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c01f00f48190b954db4a0cb5baa8 completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.