Saint‑Germain‑des‑Prés metro station
E249348
Saint‑Germain‑des‑Prés metro station is a Paris Métro station in the historic Left Bank neighborhood, serving the Saint‑Germain‑des‑Prés district known for its cafés, intellectual life, and cultural landmarks.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Saint-Germain-des-Prés metro station | 3 |
| Saint‑Germain‑des‑Prés metro station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2187057 — 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: Saint‑Germain‑des‑Prés metro station Context triple: [Boulevard Saint‑Germain, hasPublicTransport, Saint‑Germain‑des‑Prés metro station]
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A.
Montparnasse–Bienvenüe metro station
Montparnasse–Bienvenüe metro station is a major Paris Métro hub in the Montparnasse district, serving multiple lines and providing access to the nearby Gare Montparnasse railway station.
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B.
Rambuteau metro station
Rambuteau metro station is a Paris Métro station in the city center, located near the Centre Pompidou and serving Line 11.
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C.
Champs-Élysées–Clemenceau metro station
Champs-Élysées–Clemenceau metro station is a Paris Métro station located near the Champs-Élysées and the Grand Palais, serving as a key access point to this central and historic area of the city.
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D.
La Muette metro station
La Muette metro station is a Paris Métro station in the 16th arrondissement, serving Line 9 near the Passy and La Muette neighborhoods.
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E.
Saint-Denis station
Saint-Denis station is a major suburban railway and RER hub in the northern suburbs of Paris, France, providing regional and commuter rail connections including RER line D.
- 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: Saint‑Germain‑des‑Prés metro station Target entity description: Saint‑Germain‑des‑Prés metro station is a Paris Métro station in the historic Left Bank neighborhood, serving the Saint‑Germain‑des‑Prés district known for its cafés, intellectual life, and cultural landmarks.
-
A.
Montparnasse–Bienvenüe metro station
Montparnasse–Bienvenüe metro station is a major Paris Métro hub in the Montparnasse district, serving multiple lines and providing access to the nearby Gare Montparnasse railway station.
-
B.
Rambuteau metro station
Rambuteau metro station is a Paris Métro station in the city center, located near the Centre Pompidou and serving Line 11.
-
C.
Champs-Élysées–Clemenceau metro station
Champs-Élysées–Clemenceau metro station is a Paris Métro station located near the Champs-Élysées and the Grand Palais, serving as a key access point to this central and historic area of the city.
-
D.
La Muette metro station
La Muette metro station is a Paris Métro station in the 16th arrondissement, serving Line 9 near the Passy and La Muette neighborhoods.
-
E.
Saint-Denis station
Saint-Denis station is a major suburban railway and RER hub in the northern suburbs of Paris, France, providing regional and commuter rail connections including RER line D.
- F. None of above. chosen
Statements (31)
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: Saint‑Germain‑des‑Prés metro station Description of subject: Saint‑Germain‑des‑Prés metro station is a Paris Métro station in the historic Left Bank neighborhood, serving the Saint‑Germain‑des‑Prés district known for its cafés, intellectual life, and cultural landmarks.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Saint-Germain-des-Prés metro station
this entity surface form:
Saint-Germain-des-Prés metro station
subject surface form:
Mabillon
this entity surface form:
Saint-Germain-des-Prés metro station