Notre-Dame-de-Grâce—Westmount
E807497
Notre-Dame-de-Grâce—Westmount is a federal electoral district in Montreal, Quebec, known for its diverse, largely urban population and mix of residential neighborhoods and commercial areas.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Notre-Dame-de-Grâce—Westmount canonical | 1 |
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf | Canadian federal electoral district ⓘ |
| containsBorough |
Côte-des-Neiges–Notre-Dame-de-Grâce (part)
NERFINISHED
ⓘ
Le Sud-Ouest (part) NERFINISHED ⓘ Ville-Marie (part) NERFINISHED ⓘ |
| containsMunicipality | City of Westmount NERFINISHED ⓘ |
| country | Canada ⓘ |
| createdFrom |
Jeanne-Le Ber
NERFINISHED
ⓘ
Mount Royal NERFINISHED ⓘ Notre-Dame-de-Grâce—Lachine NERFINISHED ⓘ Westmount—Ville-Marie NERFINISHED ⓘ |
| dateCreated | 2013 ⓘ |
| demographicCharacter |
diverse population
ⓘ
urban ⓘ |
| electoralLevel | federal ⓘ |
| elects | Member of Parliament ⓘ |
| federalElectoralDistrictNumber | 24046 ⓘ |
| federalStatus | active ⓘ |
| firstFederalElection | 2015 ⓘ |
| hasFeature |
high population density
ⓘ
mix of affluent and middle-income areas ⓘ |
| hasLandUse |
commercial areas
ⓘ
residential areas ⓘ |
| hasNeighbourhood |
Côte-des-Neiges
NERFINISHED
ⓘ
Downtown Montreal (part) NERFINISHED ⓘ Notre-Dame-de-Grâce NERFINISHED ⓘ Saint-Henri (part) NERFINISHED ⓘ Snowdon (part) NERFINISHED ⓘ Westmount NERFINISHED ⓘ |
| hasPostalCodePrefix |
H3
ⓘ
H4 ⓘ |
| hasUniversity |
Concordia University (part of campus)
NERFINISHED
ⓘ
McGill University (part of campus) NERFINISHED ⓘ |
| languageProfile |
significant English-speaking population
ⓘ
significant French-speaking population ⓘ |
| locatedIn |
Island of Montreal
NERFINISHED
ⓘ
Montreal ⓘ Quebec NERFINISHED ⓘ |
| mapRepresentation | Notre-Dame-de-Grâce—Westmount in relation to other Montreal ridings NERFINISHED ⓘ |
| province | Quebec NERFINISHED ⓘ |
| region | Greater Montreal NERFINISHED ⓘ |
| representedIn | House of Commons of Canada NERFINISHED ⓘ |
| timeZone | Eastern Time Zone ⓘ |
| usesVotingSystem | first-past-the-post ⓘ |
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: Notre-Dame-de-Grâce—Westmount Description of subject: Notre-Dame-de-Grâce—Westmount is a federal electoral district in Montreal, Quebec, known for its diverse, largely urban population and mix of residential neighborhoods and commercial areas.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.