Pereire
E816335
Pereire is a Paris Métro station in the 17th arrondissement, serving as a stop on Line 3 and connecting to nearby RER services.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Pereire canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9732238 — 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: Pereire Context triple: [Paris Métro Line 3, hasStation, Pereire]
-
A.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
-
B.
Sergi
Sergi is a masculine given name of Catalan origin, commonly used in Spain and other Catalan-speaking regions.
-
C.
Miquel
Miquel is a given name, commonly used in Catalan and other languages, that corresponds to the English name Michael.
-
D.
Pau Cristià
Pau Cristià, also known as Pablo Christiani, was a 13th-century Jewish convert to Christianity infamous for his role in anti-Jewish polemics and the Barcelona Disputation against Rabbi Nachmanides.
-
E.
Pagnerre
Pagnerre was a 19th-century French publishing house known for issuing major literary works, including those of Victor Hugo.
- 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: Pereire Target entity description: Pereire is a Paris Métro station in the 17th arrondissement, serving as a stop on Line 3 and connecting to nearby RER services.
-
A.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
-
B.
Sergi
Sergi is a masculine given name of Catalan origin, commonly used in Spain and other Catalan-speaking regions.
-
C.
Miquel
Miquel is a given name, commonly used in Catalan and other languages, that corresponds to the English name Michael.
-
D.
Pau Cristià
Pau Cristià, also known as Pablo Christiani, was a 13th-century Jewish convert to Christianity infamous for his role in anti-Jewish polemics and the Barcelona Disputation against Rabbi Nachmanides.
-
E.
Pagnerre
Pagnerre was a 19th-century French publishing house known for issuing major literary works, including those of Victor Hugo.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf | Paris Métro station ⓘ |
| adjacentStationOnLine3 |
Porte de Champerret
NERFINISHED
ⓘ
Wagram NERFINISHED ⓘ |
| city | Paris ⓘ |
| connectedTo |
Pereire – Levallois RER station
NERFINISHED
ⓘ
RER Line C NERFINISHED ⓘ |
| country | France ⓘ |
| electrification | 750 V DC third rail ⓘ |
| fareSystem | Île-de-France Mobilités NERFINISHED ⓘ |
| fareZone | Île-de-France public transport zone 1 ⓘ |
| hasAccessTo | Boulevard Pereire entrances ⓘ |
| hasConnectionType | railway interchange ⓘ |
| hasNumberOfTracks | 2 ⓘ |
| hasPlatformConfiguration | 2 side platforms ⓘ |
| hasService |
interchange with regional rail
ⓘ
local metro service ⓘ |
| hasStationCode | 0313 ⓘ |
| hasStructureType | underground station ⓘ |
| hasTransportConnection | RER services NERFINISHED ⓘ |
| locatedIn | 17th arrondissement of Paris NERFINISHED ⓘ |
| locatedOn | Boulevard Pereire NERFINISHED ⓘ |
| namedAfter |
Isaac Pereire
NERFINISHED
ⓘ
Émile Pereire NERFINISHED ⓘ |
| openingDate | 1902-10-23 ⓘ |
| operator |
RATP group
ⓘ
surface form:
RATP
|
| partOf | Line 3 western branch NERFINISHED ⓘ |
| partOfNetwork |
Paris Metro
ⓘ
surface form:
Paris Métro
|
| railGauge | standard gauge ⓘ |
| servedByLine | Paris Métro Line 3 NERFINISHED ⓘ |
| servesBorough | Batignolles-Monceau area NERFINISHED ⓘ |
| ticketingSystem | contactless smartcard (Navigo) NERFINISHED ⓘ |
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: Pereire Description of subject: Pereire is a Paris Métro station in the 17th arrondissement, serving as a stop on Line 3 and connecting to nearby RER services.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.