Canyelles station
E886798
Canyelles station is an underground Barcelona Metro stop in the Nou Barris district, serving the residential Canyelles neighborhood.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Canyelles station canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T10769655 — 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: Canyelles station Context triple: [Line 3 (Barcelona Metro), servesStation, Canyelles station]
-
A.
Ségur station
Ségur station is a Paris Métro station in the 15th arrondissement, named after Place Ségur and serving local residential and administrative areas.
-
B.
Montbau station
Montbau station is a Barcelona Metro stop located in the Horta-Guinardó district, serving the Montbau neighborhood near the northern edge of the city.
-
C.
Collblanc station
Collblanc station is a major Barcelona Metro interchange serving multiple lines and providing access to the city's western districts and nearby Camp Nou stadium.
-
D.
Raspail station
Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
-
E.
Mouton-Duvernet station
Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.
- 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: Canyelles station Target entity description: Canyelles station is an underground Barcelona Metro stop in the Nou Barris district, serving the residential Canyelles neighborhood.
-
A.
Ségur station
Ségur station is a Paris Métro station in the 15th arrondissement, named after Place Ségur and serving local residential and administrative areas.
-
B.
Montbau station
Montbau station is a Barcelona Metro stop located in the Horta-Guinardó district, serving the Montbau neighborhood near the northern edge of the city.
-
C.
Collblanc station
Collblanc station is a major Barcelona Metro interchange serving multiple lines and providing access to the city's western districts and nearby Camp Nou stadium.
-
D.
Raspail station
Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
-
E.
Mouton-Duvernet station
Mouton-Duvernet station is a Paris Métro station in the 14th arrondissement, serving Line 4 and named after French general Régis Barthélemy Mouton-Duvernet.
- F. None of above. chosen
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
Barcelona Metro station
ⓘ
underground railway station ⓘ |
| city | Barcelona ⓘ |
| continent | Europe ⓘ |
| country | Spain ⓘ |
| district | Nou Barris ⓘ |
| fareZone | 1 ⓘ |
| hasAccess | Canyelles neighborhood ⓘ |
| hasElectrification | true ⓘ |
| hasEscalators | true ⓘ |
| hasStairs | true ⓘ |
| hasTicketHall | true ⓘ |
| isUnderground | true ⓘ |
| line | L3 ⓘ |
| locatedIn |
Barcelona
ⓘ
Catalonia ⓘ Nou Barris ⓘ Spain ⓘ |
| neighborhood | Canyelles ⓘ |
| network |
Barcelona Metro network
ⓘ
linked to:
Barcelona Metro
|
| numberOfPlatforms | 2 ⓘ |
| numberOfTracks | 2 ⓘ |
| openingDate | 1982 ⓘ |
| operator | Transports Metropolitans de Barcelona ⓘ |
| owner | Transports Metropolitans de Barcelona ⓘ |
| partOf | Barcelona Metro ⓘ |
| platformType | side platforms ⓘ |
| railGauge | Iberian gauge ⓘ |
| servedBy | Barcelona Metro line L3 ⓘ |
| serves | Canyelles neighborhood ⓘ |
| servesFunction | urban rapid transit ⓘ |
| structureType | underground ⓘ |
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: Canyelles station Description of subject: Canyelles station is an underground Barcelona Metro stop in the Nou Barris district, serving the residential Canyelles neighborhood.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.