Mont-Laurier
E439612
Mont-Laurier is a small city in the Laurentides region of Quebec, Canada, known as a regional service and transportation hub surrounded by forests and lakes.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mont-Laurier canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T4428729 — 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.
Target entity: Mont-Laurier Context triple: [Laurentides, contains, Mont-Laurier]
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A.
Lavaltrie
Lavaltrie is a suburban municipality in southwestern Quebec, Canada, located northeast of Montreal along the north shore of the Saint Lawrence River.
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B.
L’Île-Bizard–Sainte-Geneviève
L’Île-Bizard–Sainte-Geneviève is a suburban borough of Montreal, Quebec, known for its residential character, golf courses, and extensive natural and waterfront areas.
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C.
Baie-D’Urfé
Baie-D’Urfé is a small, affluent suburban town on the western tip of the Island of Montreal in Quebec, Canada, known for its residential character and waterfront along Lake Saint-Louis.
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D.
Le Bourget-du-Lac
Le Bourget-du-Lac is a French lakeside commune in the Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting, historical abbey, and proximity to the Alps.
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E.
Mont-Royal
Mont-Royal is a prominent hill and urban park in Montreal, Quebec, known for its panoramic city views and central role in the city's identity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Mont-Laurier Target entity description: Mont-Laurier is a small city in the Laurentides region of Quebec, Canada, known as a regional service and transportation hub surrounded by forests and lakes.
-
A.
Lavaltrie
Lavaltrie is a suburban municipality in southwestern Quebec, Canada, located northeast of Montreal along the north shore of the Saint Lawrence River.
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B.
L’Île-Bizard–Sainte-Geneviève
L’Île-Bizard–Sainte-Geneviève is a suburban borough of Montreal, Quebec, known for its residential character, golf courses, and extensive natural and waterfront areas.
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C.
Baie-D’Urfé
Baie-D’Urfé is a small, affluent suburban town on the western tip of the Island of Montreal in Quebec, Canada, known for its residential character and waterfront along Lake Saint-Louis.
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D.
Le Bourget-du-Lac
Le Bourget-du-Lac is a French lakeside commune in the Savoie department of the Auvergne-Rhône-Alpes region, known for its scenic setting, historical abbey, and proximity to the Alps.
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E.
Mont-Royal
Mont-Royal is a prominent hill and urban park in Montreal, Quebec, known for its panoramic city views and central role in the city's identity.
- F. None of above. chosen
Statements (48)
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.
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.
Subject: Mont-Laurier Description of subject: Mont-Laurier is a small city in the Laurentides region of Quebec, Canada, known as a regional service and transportation hub surrounded by forests and lakes.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.