Triple

T1670026
Position Surface form Disambiguated ID Type / Status
Subject York, Ontario E36102 entity
Predicate adjacentTo P224 FINISHED
Object Old Toronto E53654 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: Old Toronto | Statement: [York, Ontario, adjacentTo, Old Toronto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Toronto
Context triple: [York, Ontario, adjacentTo, Old Toronto]
  • A. Old Toronto chosen
    Old Toronto is the historic core and former municipality of Toronto, encompassing the city’s downtown and many of its oldest, most densely developed neighborhoods.
  • B. New Toronto
    New Toronto is a lakeside neighbourhood in the former city of Etobicoke, Toronto, known for its industrial heritage, waterfront parks, and residential streets along Lake Ontario.
  • C. 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.
  • D. Midtown Toronto
    Midtown Toronto is a central district of Toronto known for its mix of residential neighborhoods, historic landmarks, and vibrant commercial areas.
  • E. Eastern Toronto
    Eastern Toronto is the part of Toronto that includes areas such as Scarborough and other eastern neighborhoods of the city.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa624285bc8190a763e99e548a3294 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad683461ec8190b442054443c472b3 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:29 p.m.