Triple

T6146331
Position Surface form Disambiguated ID Type / Status
Subject Michael Garron Hospital E137085 entity
Predicate serviceArea P82 FINISHED
Object East Toronto E36384 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: East Toronto | Statement: [Michael Garron Hospital, serviceArea, East Toronto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: East Toronto
Context triple: [Michael Garron Hospital, serviceArea, East Toronto]
  • A. Eastern Toronto chosen
    Eastern Toronto is the part of Toronto that includes areas such as Scarborough and other eastern neighborhoods of the city.
  • B. Midtown Toronto
    Midtown Toronto is a central district of Toronto known for its mix of residential neighborhoods, historic landmarks, and vibrant commercial areas.
  • C. 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.
  • D. 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.
  • E. Upper Edmonton
    Upper Edmonton is a district in the London Borough of Enfield, known for its diverse community and busy commercial thoroughfares along the northern stretch of Fore Street.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cdeeaa88190948d9db6eb2dbf46 completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ece259c8190b7258859a35ca4fd completed March 23, 2026, 4:48 p.m.
Created at: March 22, 2026, 4:16 p.m.