Triple

T3093376
Position Surface form Disambiguated ID Type / Status
Subject Ross and Macdonald E64534 entity
Predicate notableWork P4 FINISHED
Object Les Cours Mont-Royal complex original hotel structure (Montreal)
Les Cours Mont-Royal complex original hotel structure (Montreal) is a historic former luxury hotel building in downtown Montreal, designed by the prominent architectural firm Ross and Macdonald and later converted into a mixed-use commercial complex.
 E326446 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: Les Cours Mont-Royal complex original hotel structure (Montreal) | Statement: [Ross and Macdonald, notableWork, Les Cours Mont-Royal complex original hotel structure (Montreal)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Les Cours Mont-Royal complex original hotel structure (Montreal)
Context triple: [Ross and Macdonald, notableWork, Les Cours Mont-Royal complex original hotel structure (Montreal)]
  • A. Montreal City Hall
    Montreal City Hall is the historic seat of municipal government in Montreal, housing the mayor’s office and serving as the central venue for the city’s political and administrative affairs.
  • B. Quebec City Hall
    Quebec City Hall is the historic municipal government building of Quebec City, known for its distinctive architecture and central role in the city's civic administration.
  • C. Downtown Montreal campus
    The Downtown Montreal campus is McGill University's historic main campus located in the heart of Montreal, housing core faculties, libraries, and administrative buildings.
  • D. Old Montreal
    Old Montreal is the historic district of Montreal, known for its cobblestone streets, preserved 17th–19th century architecture, and major landmarks along the St. Lawrence River.
  • E. Château Frontenac
    Château Frontenac is a grand historic hotel and iconic hilltop landmark overlooking the St. Lawrence River in Old Quebec, Canada.
  • 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: Les Cours Mont-Royal complex original hotel structure (Montreal)
Triple: [Ross and Macdonald, notableWork, Les Cours Mont-Royal complex original hotel structure (Montreal)]
Generated description
Les Cours Mont-Royal complex original hotel structure (Montreal) is a historic former luxury hotel building in downtown Montreal, designed by the prominent architectural firm Ross and Macdonald and later converted into a mixed-use commercial complex.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Les Cours Mont-Royal complex original hotel structure (Montreal)
Target entity description: Les Cours Mont-Royal complex original hotel structure (Montreal) is a historic former luxury hotel building in downtown Montreal, designed by the prominent architectural firm Ross and Macdonald and later converted into a mixed-use commercial complex.
  • A. Montreal City Hall
    Montreal City Hall is the historic seat of municipal government in Montreal, housing the mayor’s office and serving as the central venue for the city’s political and administrative affairs.
  • B. Quebec City Hall
    Quebec City Hall is the historic municipal government building of Quebec City, known for its distinctive architecture and central role in the city's civic administration.
  • C. Downtown Montreal campus
    The Downtown Montreal campus is McGill University's historic main campus located in the heart of Montreal, housing core faculties, libraries, and administrative buildings.
  • D. Old Montreal
    Old Montreal is the historic district of Montreal, known for its cobblestone streets, preserved 17th–19th century architecture, and major landmarks along the St. Lawrence River.
  • E. Château Frontenac
    Château Frontenac is a grand historic hotel and iconic hilltop landmark overlooking the St. Lawrence River in Old Quebec, Canada.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23876a4819095bfc28640d8c200 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203697abc8190b93e8c85ada5bdfc completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b2043430548190a538c183aef44b44 completed March 12, 2026, 12:09 a.m.
NED2 Entity disambiguation (via description) batch_69b204c812f081908fe5733305123c0e completed March 12, 2026, 12:11 a.m.
Created at: March 8, 2026, 3:03 p.m.