Triple

T17924484
Position Surface form Disambiguated ID Type / Status
Subject Sir John Craig Eaton E448155 entity
Predicate donatedTo P2329 FINISHED
Object Toronto hospitals NE NERFINISHED

How this triple was built (3 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: Toronto hospitals | Statement: [Sir John Craig Eaton, donatedTo, Toronto hospitals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto hospitals
Context triple: [Sir John Craig Eaton, donatedTo, Toronto hospitals]
  • A. Toronto East Health Network
    Toronto East Health Network is a regional healthcare organization in Toronto that oversees and coordinates services including those provided by Michael Garron Hospital.
  • B. Toronto General Hospital
    Toronto General Hospital is a major teaching and research hospital in downtown Toronto, renowned for its advanced cardiac, transplant, and critical care services.
  • C. Toronto Western Hospital
    Toronto Western Hospital is a major academic teaching and research hospital in downtown Toronto, renowned for its neuroscience, musculoskeletal, and specialized surgical care.
  • D. Toronto Rehabilitation Institute
    Toronto Rehabilitation Institute is a leading Canadian academic health science center specializing in rehabilitation medicine, research, and patient care, and is part of the University Health Network in Toronto.
  • E. North York General Hospital
    North York General Hospital is a major community teaching hospital in Toronto, Ontario, providing a wide range of acute care, ambulatory, and long-term services.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Toronto hospitals
Target entity description: Toronto hospitals are a network of major medical institutions in Toronto, Canada, providing comprehensive healthcare services, research, and teaching for the region.
  • A. Toronto East Health Network
    Toronto East Health Network is a regional healthcare organization in Toronto that oversees and coordinates services including those provided by Michael Garron Hospital.
  • B. Toronto General Hospital
    Toronto General Hospital is a major teaching and research hospital in downtown Toronto, renowned for its advanced cardiac, transplant, and critical care services.
  • C. Toronto Western Hospital
    Toronto Western Hospital is a major academic teaching and research hospital in downtown Toronto, renowned for its neuroscience, musculoskeletal, and specialized surgical care.
  • D. Toronto Rehabilitation Institute
    Toronto Rehabilitation Institute is a leading Canadian academic health science center specializing in rehabilitation medicine, research, and patient care, and is part of the University Health Network in Toronto.
  • E. North York General Hospital
    North York General Hospital is a major community teaching hospital in Toronto, Ontario, providing a wide range of acute care, ambulatory, and long-term services.
  • F. None of above. chosen

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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54cf8188190b9bd676443418c23 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.