Montparnasse–Bienvenüe
E404798
Montparnasse–Bienvenüe is a major Paris Métro hub and one of the city’s busiest interchange stations, serving the Montparnasse district and its mainline railway terminus.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Montparnasse–Bienvenüe canonical | 6 |
| Montparnasse | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3983790 — 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: Montparnasse–Bienvenüe Context triple: [Paris public transport network, notableStation, Montparnasse–Bienvenüe]
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A.
Montparnasse
Montparnasse is a historic Parisian district famed for its early 20th-century artistic and literary scene, its cafés and studios frequented by avant-garde figures, and landmarks such as the Montparnasse Tower and cemetery.
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B.
Porte de Clignancourt
Porte de Clignancourt is a Paris Métro station in the 18th arrondissement, best known as the northern end of Line 4 and a gateway to the nearby Saint-Ouen flea markets.
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C.
La Motte-Picquet–Grenelle
La Motte-Picquet–Grenelle is a major Paris Métro interchange station in the 15th arrondissement, connecting multiple lines near the Champ de Mars and the Eiffel Tower.
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D.
Quai de Gesvres
Quai de Gesvres is a riverside street along the right bank of the Seine in central Paris, known for its proximity to the historic Île de la Cité and the Hôtel de Ville.
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E.
Barbès – Rochechouart
Barbès – Rochechouart is a major Paris Métro interchange station in the 9th and 18th arrondissements, serving as a busy hub between lines 2 and 4 near the Barbès and Rochechouart boulevards.
- 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: Montparnasse–Bienvenüe Target entity description: Montparnasse–Bienvenüe is a major Paris Métro hub and one of the city’s busiest interchange stations, serving the Montparnasse district and its mainline railway terminus.
-
A.
Montparnasse
Montparnasse is a historic Parisian district famed for its early 20th-century artistic and literary scene, its cafés and studios frequented by avant-garde figures, and landmarks such as the Montparnasse Tower and cemetery.
-
B.
Porte de Clignancourt
Porte de Clignancourt is a Paris Métro station in the 18th arrondissement, best known as the northern end of Line 4 and a gateway to the nearby Saint-Ouen flea markets.
-
C.
La Motte-Picquet–Grenelle
La Motte-Picquet–Grenelle is a major Paris Métro interchange station in the 15th arrondissement, connecting multiple lines near the Champ de Mars and the Eiffel Tower.
-
D.
Quai de Gesvres
Quai de Gesvres is a riverside street along the right bank of the Seine in central Paris, known for its proximity to the historic Île de la Cité and the Hôtel de Ville.
-
E.
Barbès – Rochechouart
Barbès – Rochechouart is a major Paris Métro interchange station in the 9th and 18th arrondissements, serving as a busy hub between lines 2 and 4 near the Barbès and Rochechouart boulevards.
- 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.
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: Montparnasse–Bienvenüe Description of subject: Montparnasse–Bienvenüe is a major Paris Métro hub and one of the city’s busiest interchange stations, serving the Montparnasse district and its mainline railway terminus.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Paris Metro line 13
subject linked to:
Line 4
subject linked to:
Cimetière du Montparnasse, Paris, France
subject linked to:
Edgar Quinet station
linked to: Montparnasse–Bienvenüe