Charonne
E555638
Charonne is a Paris Métro station in the 11th arrondissement, known for serving a residential neighborhood and for its proximity to the site of the 1962 Charonne Massacre.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Charonne canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5828734 — 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.
Target entity: Charonne Context triple: [Paris Métro Line 9, station, Charonne]
-
A.
Beaugrenelle
Beaugrenelle is a modern riverside district in Paris known for its high-rise architecture, shopping center, and contemporary urban design along the Seine.
-
B.
Clichy
Clichy is a suburban commune in the northwestern outskirts of Paris, France, known for its dense urban character and role as a residential and business hub.
-
C.
Clignancourt
Clignancourt is a northern Paris neighborhood known for its proximity to Montmartre and its famous flea market at Saint-Ouen.
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D.
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.
-
E.
La Croix-Rousse
La Croix-Rousse is a historic hilltop district in Lyon, France, known for its silk-weaving heritage, steep slopes, and distinctive village-like atmosphere.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Charonne Target entity description: Charonne is a Paris Métro station in the 11th arrondissement, known for serving a residential neighborhood and for its proximity to the site of the 1962 Charonne Massacre.
-
A.
Beaugrenelle
Beaugrenelle is a modern riverside district in Paris known for its high-rise architecture, shopping center, and contemporary urban design along the Seine.
-
B.
Clichy
Clichy is a suburban commune in the northwestern outskirts of Paris, France, known for its dense urban character and role as a residential and business hub.
-
C.
Clignancourt
Clignancourt is a northern Paris neighborhood known for its proximity to Montmartre and its famous flea market at Saint-Ouen.
-
D.
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.
-
E.
La Croix-Rousse
La Croix-Rousse is a historic hilltop district in Lyon, France, known for its silk-weaving heritage, steep slopes, and distinctive village-like atmosphere.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf | Paris Métro station ⓘ |
| country | France ⓘ |
| decorStyle | standard Paris Métro style with tiled vault ⓘ |
| electrificationSystem | third rail 750 V DC ⓘ |
| fareZone | 1 ⓘ |
| hasAccessFrom |
Boulevard Voltaire
NERFINISHED
ⓘ
Rue de Charonne NERFINISHED ⓘ |
| hasConnection | RATP bus network NERFINISHED ⓘ |
| hasEntrance |
staircase entrances on Boulevard Voltaire
ⓘ
staircase entrances on Rue de Charonne ⓘ |
| hasLighting | fluorescent lighting on platforms ⓘ |
| hasNearbyLandmark | Boulevard Voltaire NERFINISHED ⓘ |
| hasNearbyMemorial | memorial to victims of the Charonne Massacre ⓘ |
| hasNearbyStreet | Rue de Charonne NERFINISHED ⓘ |
| hasPlatformConfiguration | 2 side platforms ⓘ |
| hasServiceFrequency | high-frequency urban metro service ⓘ |
| hasSignage | RATP standard signage ⓘ |
| hasTicketHall | underground concourse ⓘ |
| hasTicketMachines | automatic ticket vending machines ⓘ |
| hasValidationGates | automatic fare gates ⓘ |
| isUnderground | true ⓘ |
| isWithin | Boulevard Voltaire corridor ⓘ |
| locatedIn |
11th arrondissement of Paris
NERFINISHED
ⓘ
France ⓘ Paris ⓘ Île-de-France region ⓘ
surface form:
Île-de-France
|
| locatedInDistrict | Quartier de la Roquette NERFINISHED ⓘ |
| namedAfter | Rue de Charonne NERFINISHED ⓘ |
| nearEventDate | 8 February 1962 ⓘ |
| nearEventSite | Charonne Massacre NERFINISHED ⓘ |
| networkZone | central Paris zone 1 ⓘ |
| numberOfTracks | 2 ⓘ |
| openingDate | 10 December 1933 ⓘ |
| operator |
RATP group
ⓘ
surface form:
RATP
|
| ownedBy | RATP NERFINISHED ⓘ |
| partOfLineSection | Nation–Mairie de Montreuil section of Line 9 NERFINISHED ⓘ |
| partOfNetwork | Paris Métro NERFINISHED ⓘ |
| platformOrientation | east–west ⓘ |
| publicTransportSystem | Paris public transport network NERFINISHED ⓘ |
| safetyFeature | platform screen doors not installed (conventional open platforms) ⓘ |
| servedByLine | Paris Métro Line 9 NERFINISHED ⓘ |
| servesFunction | urban commuter transport ⓘ |
| servesNeighborhood | residential area of the 11th arrondissement ⓘ |
| structureType | underground station ⓘ |
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.
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.
Subject: Charonne Description of subject: Charonne is a Paris Métro station in the 11th arrondissement, known for serving a residential neighborhood and for its proximity to the site of the 1962 Charonne Massacre.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.