Triple

T1400662
Position Surface form Disambiguated ID Type / Status
Subject Darling and Pearson E30772 entity
Predicate notableWork P4 FINISHED
Object Toronto General Hospital (early 20th-century complex)
Toronto General Hospital (early 20th-century complex) is a historically significant Toronto medical facility known for its early-20th-century expansion featuring landmark institutional architecture by the firm Darling and Pearson.
E160891 NE FINISHED

How this triple was built (4 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 General Hospital (early 20th-century complex) | Statement: [Darling and Pearson, notableWork, Toronto General Hospital (early 20th-century complex)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto General Hospital (early 20th-century complex)
Context triple: [Darling and Pearson, notableWork, Toronto General Hospital (early 20th-century complex)]
  • A. Michael Garron Hospital
    Michael Garron Hospital is a major community teaching hospital in Toronto, Ontario, providing a wide range of acute and specialized healthcare services.
  • B. Ottawa Civic Hospital
    Ottawa Civic Hospital is a major teaching and acute care hospital in Ottawa, Ontario, Canada, known for its role in regional healthcare and its historic connection to the Dutch royal family.
  • C. Old City Hall (Toronto)
    Old City Hall (Toronto) is a historic Romanesque Revival former municipal building and courthouse in downtown Toronto, renowned for its iconic clock tower and status as one of the city’s most prominent heritage landmarks.
  • D. Toronto City Hall
    Toronto City Hall is a distinctive modernist civic complex in downtown Toronto that houses the city's municipal government and is one of its most recognizable architectural landmarks.
  • E. Union Station, Toronto
    Union Station in Toronto is the city’s primary railway and transit hub, serving as a central gateway for regional, national, and local transportation.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Toronto General Hospital (early 20th-century complex)
Triple: [Darling and Pearson, notableWork, Toronto General Hospital (early 20th-century complex)]
Generated description
Toronto General Hospital (early 20th-century complex) is a historically significant Toronto medical facility known for its early-20th-century expansion featuring landmark institutional architecture by the firm Darling and Pearson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Toronto General Hospital (early 20th-century complex)
Target entity description: Toronto General Hospital (early 20th-century complex) is a historically significant Toronto medical facility known for its early-20th-century expansion featuring landmark institutional architecture by the firm Darling and Pearson.
  • A. Michael Garron Hospital
    Michael Garron Hospital is a major community teaching hospital in Toronto, Ontario, providing a wide range of acute and specialized healthcare services.
  • B. Ottawa Civic Hospital
    Ottawa Civic Hospital is a major teaching and acute care hospital in Ottawa, Ontario, Canada, known for its role in regional healthcare and its historic connection to the Dutch royal family.
  • C. Old City Hall (Toronto)
    Old City Hall (Toronto) is a historic Romanesque Revival former municipal building and courthouse in downtown Toronto, renowned for its iconic clock tower and status as one of the city’s most prominent heritage landmarks.
  • D. Toronto City Hall
    Toronto City Hall is a distinctive modernist civic complex in downtown Toronto that houses the city's municipal government and is one of its most recognizable architectural landmarks.
  • E. Union Station, Toronto
    Union Station in Toronto is the city’s primary railway and transit hub, serving as a central gateway for regional, national, and local transportation.
  • F. None of above. chosen

Provenance (5 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c39c4c148190997150996ca26a99 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde3799f881908efb4ee73d412482 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acdeef1b3c81908210246be0a8b37d completed March 8, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_69ace0042cd08190a0e1499d4c8e0769 completed March 8, 2026, 2:33 a.m.
Created at: March 1, 2026, 7:59 p.m.