Triple

T21731957
Position Surface form Disambiguated ID Type / Status
Subject Montgomery’s Inn E536428 entity
Predicate neighbourhood P988 FINISHED
Object Etobicoke NE NERFINISHED

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 | Statement: [Montgomery’s Inn, neighbourhood, Etobicoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etobicoke
Context triple: [Montgomery’s Inn, neighbourhood, Etobicoke]
  • A. 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.
  • B. Vaughan
    Vaughan is a surname of Welsh origin that is notably associated with influential figures such as blues guitarist Stevie Ray Vaughan.
  • C. 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.
  • 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. Willowdale
    Willowdale is a large, diverse residential and commercial neighbourhood in the North York district of Toronto, Ontario, known for its high-rise condos, shopping centres, and cultural amenities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd0713c48190a38b3963cb3cbaf0 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.