Triple

T882851
Position Surface form Disambiguated ID Type / Status
Subject Etobicoke E19064 entity
Predicate federalElectoralDistrict P7371 FINISHED
Object Etobicoke—Lakeshore 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—Lakeshore | Statement: [Etobicoke, federalElectoralDistrict, Etobicoke—Lakeshore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Etobicoke—Lakeshore
Context triple: [Etobicoke, federalElectoralDistrict, Etobicoke—Lakeshore]
  • 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. Ottawa South
    Ottawa South is a Canadian federal electoral district located in the southern part of Ottawa, Ontario, represented in the House of Commons.
  • C. Maisonneuve Park
    Maisonneuve Park is a large urban green space in Montreal, Quebec, known for its expansive lawns, recreational facilities, and proximity to the Montreal Botanical Garden and Olympic Stadium.
  • D. Normandie Park
    Normandie Park is a neighborhood park in Central Los Angeles that provides local residents with green space and recreational facilities.
  • 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_69a4accda4148190aa628dab14d7f5de completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7b85883c481909261bde7fdebcde1 completed March 4, 2026, 4:43 a.m.
Created at: March 1, 2026, 7:39 p.m.