Parc Logístic station
E599006
Parc Logístic station is a Barcelona Metro stop on the L9 Sud line serving the logistics and industrial area in the city’s southwestern zone.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Parc Logístic | 2 |
| Parc Logístic (L9 Sud) | 1 |
| Parc Logístic station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6637189 — 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: Parc Logístic station Context triple: [Metro line L9 Sud, hasStation, Parc Logístic station]
-
A.
Nice-Ville station
Nice-Ville station is the main railway station in Nice, France, serving as a major hub for regional and long-distance train services along the French Riviera.
-
B.
Vaneau station
Vaneau station is a Paris Métro stop in the 7th and 6th arrondissements, serving the residential and institutional Left Bank area near Invalides and several ministries.
-
C.
Ségur station
Ségur station is a Paris Métro station in the 15th arrondissement, named after Place Ségur and serving local residential and administrative areas.
-
D.
Lyon-Jean Macé station
Lyon-Jean Macé station is a railway and multimodal transport hub in Lyon, France, serving regional and local commuter traffic and providing an additional central access point to the city’s rail network.
-
E.
Fabre station
Fabre station is a Montreal Metro station on the Blue Line serving the Rosemont–La Petite-Patrie borough.
- 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: Parc Logístic station Target entity description: Parc Logístic station is a Barcelona Metro stop on the L9 Sud line serving the logistics and industrial area in the city’s southwestern zone.
-
A.
Nice-Ville station
Nice-Ville station is the main railway station in Nice, France, serving as a major hub for regional and long-distance train services along the French Riviera.
-
B.
Vaneau station
Vaneau station is a Paris Métro stop in the 7th and 6th arrondissements, serving the residential and institutional Left Bank area near Invalides and several ministries.
-
C.
Ségur station
Ségur station is a Paris Métro station in the 15th arrondissement, named after Place Ségur and serving local residential and administrative areas.
-
D.
Lyon-Jean Macé station
Lyon-Jean Macé station is a railway and multimodal transport hub in Lyon, France, serving regional and local commuter traffic and providing an additional central access point to the city’s rail network.
-
E.
Fabre station
Fabre station is a Montreal Metro station on the Blue Line serving the Rosemont–La Petite-Patrie borough.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
Barcelona Metro station
ⓘ
rapid transit station ⓘ |
| cityServed | Barcelona ⓘ |
| country | Spain ⓘ |
| electrification | 750 V DC third rail ⓘ |
| fareZone | Zone 1 (ATM Barcelona) ⓘ |
| hasAccessibility | yes ⓘ |
| hasConnection | Barcelona bus services ⓘ |
| hasEscalators | yes ⓘ |
| hasLifts | yes ⓘ |
| lineColor | orange (L9 Sud) ⓘ |
| lineSection | L9 Sud ⓘ |
| locatedIn |
Barcelona
ⓘ
Catalonia ⓘ Spain ⓘ |
| numberOfPlatforms | 2 ⓘ |
| numberOfTracks | 2 ⓘ |
| openingDate | 2016 ⓘ |
| operator | Transports Metropolitans de Barcelona ⓘ |
| ownedBy |
Generalitat de Catalunya
ⓘ
linked to:
Government of Catalonia
|
| partOfNetwork | Barcelona Metro ⓘ |
| platformType | island platform ⓘ |
| servedByLine | L9 Sud ⓘ |
| serves |
industrial area of southwestern Barcelona
ⓘ
logistics area of southwestern Barcelona ⓘ |
| structureType | underground station ⓘ |
| ticketSystem | Autoritat del Transport Metropolità integrated fare system ⓘ |
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: Parc Logístic station Description of subject: Parc Logístic station is a Barcelona Metro stop on the L9 Sud line serving the logistics and industrial area in the city’s southwestern zone.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
metro line L9 Sud
linked to: Parc Logístic station
linked to: Parc Logístic station
subject linked to:
L2 at Parc Logístic (planned future connection to L2 extension)
linked to: Parc Logístic station