Havre–Caumartin (Paris Métro)
E846330
Havre–Caumartin is a Paris Métro station in the city center, serving lines 3 and 9 near the Opéra and major department stores, and forming part of a key interchange complex with nearby RER and Métro stations.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Havre–Caumartin (Paris Métro) canonical | 3 |
| Havre – Caumartin metro station | 1 |
| Havre–Caumartin (Paris Métro) station | 1 |
| Havre–Caumartin metro station | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10180667 — 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: Havre–Caumartin (Paris Métro) Context triple: [Auber, connectedTo, Havre–Caumartin (Paris Métro)]
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A.
Pont Neuf (Paris Métro)
Pont Neuf is a Paris Métro station on Line 7 located near the historic Pont Neuf bridge and the Right Bank of the Seine in central Paris.
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B.
Richelieu–Drouot metro station
Richelieu–Drouot metro station is a Paris Métro station in the 2nd arrondissement, serving as a key interchange between lines 8 and 9 near the Grands Boulevards and several major theaters.
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C.
Hôtel de Ville (Paris Métro)
Hôtel de Ville is a major Paris Métro interchange station in central Paris, serving lines 1 and 11 near the historic city hall and the busy shopping district.
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D.
Pont Marie (Paris Métro)
Pont Marie (Paris Métro) is a station on Line 7 of the Paris Métro serving the Île Saint-Louis area in the 4th arrondissement along the right bank of the Seine.
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E.
Bir-Hakeim (Paris Métro)
Bir-Hakeim is a Paris Métro station on Line 6, notable for its elevated tracks and proximity to the Eiffel Tower.
- 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: Havre–Caumartin (Paris Métro) Target entity description: Havre–Caumartin is a Paris Métro station in the city center, serving lines 3 and 9 near the Opéra and major department stores, and forming part of a key interchange complex with nearby RER and Métro stations.
-
A.
Pont Neuf (Paris Métro)
Pont Neuf is a Paris Métro station on Line 7 located near the historic Pont Neuf bridge and the Right Bank of the Seine in central Paris.
-
B.
Richelieu–Drouot metro station
Richelieu–Drouot metro station is a Paris Métro station in the 2nd arrondissement, serving as a key interchange between lines 8 and 9 near the Grands Boulevards and several major theaters.
-
C.
Hôtel de Ville (Paris Métro)
Hôtel de Ville is a major Paris Métro interchange station in central Paris, serving lines 1 and 11 near the historic city hall and the busy shopping district.
-
D.
Pont Marie (Paris Métro)
Pont Marie (Paris Métro) is a station on Line 7 of the Paris Métro serving the Île Saint-Louis area in the 4th arrondissement along the right bank of the Seine.
-
E.
Bir-Hakeim (Paris Métro)
Bir-Hakeim is a Paris Métro station on Line 6, notable for its elevated tracks and proximity to the Eiffel Tower.
- F. None of above. chosen
Statements (50)
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: Havre–Caumartin (Paris Métro) Description of subject: Havre–Caumartin is a Paris Métro station in the city center, serving lines 3 and 9 near the Opéra and major department stores, and forming part of a key interchange complex with nearby RER and Métro stations.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Havre–Caumartin (Paris Métro)
subject linked to:
Opéra
linked to: Havre–Caumartin (Paris Métro)
subject linked to:
Chaussée d’Antin – La Fayette metro station
linked to: Havre–Caumartin (Paris Métro)