Haussmann–Saint-Lazare
E613616
Haussmann–Saint-Lazare is a major underground railway station in central Paris that serves as a key hub for commuter traffic and connections to the Saint-Lazare mainline station.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Haussmann–Saint-Lazare canonical | 4 |
| Haussmann–Saint-Lazare (RER E) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6724114 — 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: Haussmann–Saint-Lazare Context triple: [RER line E, terminus, Haussmann–Saint-Lazare]
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A.
Gare Part-Dieu Villette
Gare Part-Dieu Villette is a tram and transport hub area adjacent to Lyon’s main Part-Dieu railway station, serving as a key interchange point in the city’s public transit network.
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B.
Denfert-Rochereau metro station
Denfert-Rochereau metro station is a Paris Métro station in the 14th arrondissement that serves as an interchange between multiple metro lines and the RER, near the historic Catacombs of Paris.
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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.
Sèvres–Rive-Gauche station
Sèvres–Rive-Gauche station is a suburban railway station in the town of Sèvres, in the southwestern outskirts of Paris, serving regional commuter trains.
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E.
Invalides Paris Métro station
Invalides Paris Métro station is a major underground station in central Paris serving multiple metro lines and providing access to the historic Hôtel des Invalides area and nearby rail connections.
- 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: Haussmann–Saint-Lazare Target entity description: Haussmann–Saint-Lazare is a major underground railway station in central Paris that serves as a key hub for commuter traffic and connections to the Saint-Lazare mainline station.
-
A.
Gare Part-Dieu Villette
Gare Part-Dieu Villette is a tram and transport hub area adjacent to Lyon’s main Part-Dieu railway station, serving as a key interchange point in the city’s public transit network.
-
B.
Denfert-Rochereau metro station
Denfert-Rochereau metro station is a Paris Métro station in the 14th arrondissement that serves as an interchange between multiple metro lines and the RER, near the historic Catacombs of Paris.
-
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.
Sèvres–Rive-Gauche station
Sèvres–Rive-Gauche station is a suburban railway station in the town of Sèvres, in the southwestern outskirts of Paris, serving regional commuter trains.
-
E.
Invalides Paris Métro station
Invalides Paris Métro station is a major underground station in central Paris serving multiple metro lines and providing access to the historic Hôtel des Invalides area and nearby rail connections.
- F. None of above. chosen
Statements (44)
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: Haussmann–Saint-Lazare Description of subject: Haussmann–Saint-Lazare is a major underground railway station in central Paris that serves as a key hub for commuter traffic and connections to the Saint-Lazare mainline station.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Haussmann–Saint-Lazare