L9 Sud
E599000
L9 Sud is a section of Barcelona's Metro Line 9 that serves the southern metropolitan area, including key connections to the airport and suburban zones.
All labels observed (2)
How this entity was disambiguated
This entity first appeared as the object of triple T6637170 — 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: L9 Sud Context triple: [Metro line L9 Sud, lineNumber, L9 Sud]
-
A.
L86
L86 is a 6.2-liter GM EcoTec3 V8 gasoline engine used in modern Chevrolet and GMC trucks and SUVs, known for its direct injection, variable valve timing, and cylinder deactivation technologies.
-
B.
SR-91
SR-91 is a state highway designation commonly used in the United States for a numbered route within a state's road network.
-
C.
L83
L83 is a 5.3-liter GM EcoTec3 V8 truck engine used in late-model Chevrolet and GMC pickups and SUVs.
-
D.
A 32A Lansen
The A 32A Lansen was the ground-attack version of Sweden’s Saab 32 Lansen jet aircraft, optimized for strike missions with enhanced weapons and attack systems.
-
E.
L110
L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
- 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: L9 Sud Target entity description: L9 Sud is a section of Barcelona's Metro Line 9 that serves the southern metropolitan area, including key connections to the airport and suburban zones.
-
A.
L86
L86 is a 6.2-liter GM EcoTec3 V8 gasoline engine used in modern Chevrolet and GMC trucks and SUVs, known for its direct injection, variable valve timing, and cylinder deactivation technologies.
-
B.
SR-91
SR-91 is a state highway designation commonly used in the United States for a numbered route within a state's road network.
-
C.
L83
L83 is a 5.3-liter GM EcoTec3 V8 truck engine used in late-model Chevrolet and GMC pickups and SUVs.
-
D.
A 32A Lansen
The A 32A Lansen was the ground-attack version of Sweden’s Saab 32 Lansen jet aircraft, optimized for strike missions with enhanced weapons and attack systems.
-
E.
L110
L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
- F. None of above. chosen
Statements (35)
| Predicate | Object |
|---|---|
| instanceOf |
metro line section
ⓘ
public transport infrastructure ⓘ |
| colorOnMap | orange ⓘ |
| connectsArea |
Barcelona city
NERFINISHED
ⓘ
El Prat de Llobregat NERFINISHED ⓘ L’Hospitalet de Llobregat NERFINISHED ⓘ |
| connectsTo | Barcelona–El Prat Airport NERFINISHED ⓘ |
| country | Spain ⓘ |
| fareSystem | ATM Barcelona integrated fare system ⓘ |
| hasConnection |
Barcelona–El Prat Airport Terminal 1
NERFINISHED
ⓘ
Barcelona–El Prat Airport Terminal 2 NERFINISHED ⓘ Collblanc (Line 5) NERFINISHED ⓘ Europa | Fira (Line 8 / FGC) NERFINISHED ⓘ Fira area of Barcelona NERFINISHED ⓘ Torrassa (Line 1) NERFINISHED ⓘ Zona Universitària (Line 3) NERFINISHED ⓘ |
| hasFunction |
airport access
ⓘ
urban-suburban connectivity ⓘ |
| hasTerminus |
Aeroport T1 station
NERFINISHED
ⓘ
Zona Universitària station NERFINISHED ⓘ |
| isSectionOf | Line 9/10 automated metro corridor NERFINISHED ⓘ |
| lineNumber | 9 ⓘ |
| locatedIn | Barcelona metropolitan area NERFINISHED ⓘ |
| network | Barcelona Metro NERFINISHED ⓘ |
| operator | Transports Metropolitans de Barcelona NERFINISHED ⓘ |
| partOf | Barcelona Metro Line 9 NERFINISHED ⓘ |
| region | Catalonia ⓘ |
| serves |
southern metropolitan area of Barcelona
ⓘ
suburban zones south of Barcelona ⓘ |
| servesPointOfInterest |
Barcelona university area
ⓘ
Fira de Barcelona Gran Via NERFINISHED ⓘ |
| status | in operation ⓘ |
| transportMode | rapid transit ⓘ |
| usesInfrastructure |
automated metro system
ⓘ
underground tunnels ⓘ |
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: L9 Sud Description of subject: L9 Sud is a section of Barcelona's Metro Line 9 that serves the southern metropolitan area, including key connections to the airport and suburban zones.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Metro line L9 Sud
subject surface form:
Line 9 (Barcelona Metro)
this entity surface form:
L9
subject surface form:
Line 9 (Barcelona Metro)