Rue de la Montagne-Sainte-Geneviève
E386532
Rue de la Montagne-Sainte-Geneviève is a historic street in central Paris known for its proximity to the Panthéon and the Latin Quarter’s academic and religious landmarks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Rue de la Montagne-Sainte-Geneviève canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2291275 — 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: Rue de la Montagne-Sainte-Geneviève Context triple: [5th arrondissement of Paris, contains, Rue de la Montagne-Sainte-Geneviève]
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A.
Rue de Vaugirard
Rue de Vaugirard is one of the longest and oldest streets on Paris’s Left Bank, running through the 6th and 15th arrondissements and passing major landmarks in the city’s political and cultural life.
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B.
Rue du Faubourg Saint-Denis
Rue du Faubourg Saint-Denis is a historic and bustling street in Paris known for its multicultural atmosphere, shops, and restaurants connecting the city center with the northern districts.
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C.
Avenue d’Iéna
Avenue d’Iéna is a prominent Parisian avenue in the 16th arrondissement, known for its proximity to major landmarks near the Trocadéro and the Eiffel Tower.
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D.
Avenue des Ternes
Avenue des Ternes is a major Parisian thoroughfare in the 17th arrondissement, known for its shops, restaurants, and proximity to the Arc de Triomphe.
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E.
Rue de Valois
Rue de Valois is a street in central Paris located near the Palais-Royal and the Louvre, known for its proximity to major cultural and governmental institutions.
- 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: Rue de la Montagne-Sainte-Geneviève Target entity description: Rue de la Montagne-Sainte-Geneviève is a historic street in central Paris known for its proximity to the Panthéon and the Latin Quarter’s academic and religious landmarks.
-
A.
Rue de Vaugirard
Rue de Vaugirard is one of the longest and oldest streets on Paris’s Left Bank, running through the 6th and 15th arrondissements and passing major landmarks in the city’s political and cultural life.
-
B.
Rue du Faubourg Saint-Denis
Rue du Faubourg Saint-Denis is a historic and bustling street in Paris known for its multicultural atmosphere, shops, and restaurants connecting the city center with the northern districts.
-
C.
Avenue d’Iéna
Avenue d’Iéna is a prominent Parisian avenue in the 16th arrondissement, known for its proximity to major landmarks near the Trocadéro and the Eiffel Tower.
-
D.
Avenue des Ternes
Avenue des Ternes is a major Parisian thoroughfare in the 17th arrondissement, known for its shops, restaurants, and proximity to the Arc de Triomphe.
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E.
Rue de Valois
Rue de Valois is a street in central Paris located near the Palais-Royal and the Louvre, known for its proximity to major cultural and governmental institutions.
- F. None of above. chosen
Statements (42)
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: Rue de la Montagne-Sainte-Geneviève Description of subject: Rue de la Montagne-Sainte-Geneviève is a historic street in central Paris known for its proximity to the Panthéon and the Latin Quarter’s academic and religious landmarks.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.