Côte-des-Neiges–Notre-Dame-de-Grâce
E160322
Côte-des-Neiges–Notre-Dame-de-Grâce is a diverse, densely populated borough of Montreal, Quebec, known for its multicultural communities, major educational institutions, and mixed residential-urban character.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Côte-des-Neiges–Notre-Dame-de-Grâce canonical | 5 |
| Côte-des-Neiges–Notre-Dame-de-Grâce borough | 3 |
| Côte-des-Neiges | 2 |
| Côte-des-Neiges neighbourhood | 1 |
| Notre-Dame-de-Grâce district | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1116165 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Côte-des-Neiges–Notre-Dame-de-Grâce Context triple: [St. Mary’s Hospital Center, locatedIn, Côte-des-Neiges–Notre-Dame-de-Grâce]
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A.
Ville-Marie
Ville-Marie is the original 17th-century French colonial settlement that later grew into the modern city of Montreal in Quebec, Canada.
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B.
Rivière-des-Prairies–Pointe-aux-Trembles
Rivière-des-Prairies–Pointe-aux-Trembles is a residential borough located at the eastern tip of Montreal, Quebec, known for its riverside parks and suburban character.
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C.
Ahuntsic-Cartierville
Ahuntsic-Cartierville is a residential borough in the northern part of Montreal, Quebec, known for its diverse population, riverside parks, and mix of urban and suburban character.
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D.
Côte-Saint-Luc
Côte-Saint-Luc is a primarily residential, multicultural suburban city located on the Island of Montreal in Quebec, Canada.
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E.
Mercier–Hochelaga-Maisonneuve
Mercier–Hochelaga-Maisonneuve is a borough in the east end of Montreal, Quebec, known for its mix of historic working-class neighborhoods, industrial areas, and revitalized commercial and cultural spaces.
- 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: Côte-des-Neiges–Notre-Dame-de-Grâce Target entity description: Côte-des-Neiges–Notre-Dame-de-Grâce is a diverse, densely populated borough of Montreal, Quebec, known for its multicultural communities, major educational institutions, and mixed residential-urban character.
-
A.
Ville-Marie
Ville-Marie is the original 17th-century French colonial settlement that later grew into the modern city of Montreal in Quebec, Canada.
-
B.
Rivière-des-Prairies–Pointe-aux-Trembles
Rivière-des-Prairies–Pointe-aux-Trembles is a residential borough located at the eastern tip of Montreal, Quebec, known for its riverside parks and suburban character.
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C.
Ahuntsic-Cartierville
Ahuntsic-Cartierville is a residential borough in the northern part of Montreal, Quebec, known for its diverse population, riverside parks, and mix of urban and suburban character.
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D.
Côte-Saint-Luc
Côte-Saint-Luc is a primarily residential, multicultural suburban city located on the Island of Montreal in Quebec, Canada.
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E.
Mercier–Hochelaga-Maisonneuve
Mercier–Hochelaga-Maisonneuve is a borough in the east end of Montreal, Quebec, known for its mix of historic working-class neighborhoods, industrial areas, and revitalized commercial and cultural spaces.
- F. None of above. chosen
Statements (68)
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Côte-des-Neiges–Notre-Dame-de-Grâce Description of subject: Côte-des-Neiges–Notre-Dame-de-Grâce is a diverse, densely populated borough of Montreal, Quebec, known for its multicultural communities, major educational institutions, and mixed residential-urban character.
Referenced by (12)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Côte-des-Neiges–Notre-Dame-de-Grâce
Faculty of Arts and Science (Concordia University)
→
locatedInBuildingCluster
→
Notre-Dame-de-Grâce district
ⓘ
subject linked to:
Faculty of Arts and Science
linked to: Côte-des-Neiges–Notre-Dame-de-Grâce
linked to: Côte-des-Neiges–Notre-Dame-de-Grâce
linked to: Côte-des-Neiges–Notre-Dame-de-Grâce
linked to: Côte-des-Neiges–Notre-Dame-de-Grâce
subject linked to:
Snowdon
linked to: Côte-des-Neiges–Notre-Dame-de-Grâce
subject linked to:
Snowdon
linked to: Côte-des-Neiges–Notre-Dame-de-Grâce