Plaisance station
E830395
Plaisance station is a Paris Métro station serving the 14th arrondissement in the southern part of the city.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Plaisance station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9640376 — 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: Plaisance station Context triple: [14th arrondissement of Paris, contains, Plaisance station]
-
A.
Raspail station
Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
-
B.
Malesherbes station
Malesherbes station is a railway station in France serving the town of Malesherbes and connecting it to the regional rail network.
-
C.
Malesherbes station
Malesherbes station is a Paris Métro station serving the 8th and 17th arrondissements of Paris on Line 3.
-
D.
Lucien-L’Allier station
Lucien-L’Allier station is a downtown Montreal commuter rail and metro hub that serves as a key access point to the nearby Bell Centre and surrounding business district.
-
E.
Versailles-Chantiers station
Versailles-Chantiers station is a major railway hub in Versailles, France, serving regional and suburban train lines that connect the city to Paris and surrounding areas.
- 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: Plaisance station Target entity description: Plaisance station is a Paris Métro station serving the 14th arrondissement in the southern part of the city.
-
A.
Raspail station
Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
-
B.
Malesherbes station
Malesherbes station is a railway station in France serving the town of Malesherbes and connecting it to the regional rail network.
-
C.
Malesherbes station
Malesherbes station is a Paris Métro station serving the 8th and 17th arrondissements of Paris on Line 3.
-
D.
Lucien-L’Allier station
Lucien-L’Allier station is a downtown Montreal commuter rail and metro hub that serves as a key access point to the nearby Bell Centre and surrounding business district.
-
E.
Versailles-Chantiers station
Versailles-Chantiers station is a major railway hub in Versailles, France, serving regional and suburban train lines that connect the city to Paris and surrounding areas.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
Paris Métro station
ⓘ
railway station ⓘ |
| city | Paris ⓘ |
| country | France ⓘ |
| fareZone | Paris public transport zone 1 ⓘ |
| hasAddress |
14th arrondissement of Paris, France
ⓘ
linked to:
14th arrondissement of Paris
|
| hasNameOrigin |
Plaisance quarter of Paris
ⓘ
linked to:
Paris 14th arrondissement
|
| hasPlatformType | underground ⓘ |
| hasStructure | underground station ⓘ |
| isInContinent | Europe ⓘ |
| locatedIn |
14th arrondissement of Paris
ⓘ
France ⓘ Paris ⓘ |
| locatedInArea | southern Paris ⓘ |
| network |
RATP
ⓘ
linked to:
RATP group
|
| operatedBy |
Régie Autonome des Transports Parisiens
ⓘ
linked to:
RATP group
|
| ownedBy |
Régie Autonome des Transports Parisiens
ⓘ
linked to:
RATP group
|
| partOfNetwork |
Paris Métro
ⓘ
linked to:
Paris Metro
|
| servedByLine | Paris Métro Line 13 ⓘ |
| transportMode | metro ⓘ |
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: Plaisance station Description of subject: Plaisance station is a Paris Métro station serving the 14th arrondissement in the southern part of the city.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.