R25
E871752
R25 is a regional rail service within the Rodalies de Catalunya network in Catalonia, Spain.
All labels observed (1)
| Label | Occurrences |
|---|---|
| R25 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10574957 — 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: R25 Context triple: [Rodalies de Catalunya, hasService, R25]
-
A.
R27
R27 is the internal station code used by the New York City Subway for the Broad Street station on the BMT Nassau Street Line.
-
B.
R55
R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
-
C.
R5
R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
D.
R5
R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
-
E.
R5
R5 was a former designation for a commuter rail line in the SEPTA Regional Rail system serving the Paoli/Thorndale corridor in the Philadelphia area.
- 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: R25 Target entity description: R25 is a regional rail service within the Rodalies de Catalunya network in Catalonia, Spain.
-
A.
R27
R27 is the internal station code used by the New York City Subway for the Broad Street station on the BMT Nassau Street Line.
-
B.
R55
R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
-
C.
R5
R5 is the U.S. Forest Service’s Pacific Southwest Region, which oversees national forests primarily in California and parts of neighboring areas.
-
D.
R5
R5 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
E.
R5
R5 was a former designation for a commuter rail line in the SEPTA Regional Rail system serving the Paoli/Thorndale corridor in the Philadelphia area.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
commuter rail line
ⓘ
regional rail service ⓘ |
| brand | Rodalies de Catalunya ⓘ |
| country | Spain ⓘ |
| electrification | overhead line ⓘ |
| fareSystem |
ATM Barcelona
ⓘ
Autoritat del Transport Metropolità ⓘ |
| governingBody |
Generalitat de Catalunya
ⓘ
linked to:
Government of Catalonia
|
| isSubjectOf | Rodalies de Catalunya timetable ⓘ |
| languageOfSignage |
Catalan
ⓘ
Spanish ⓘ |
| locatedIn | Catalonia ⓘ |
| locatedInCountry | Spain ⓘ |
| networkType | commuter rail network ⓘ |
| operator | Renfe Operadora ⓘ |
| owner | Renfe Operadora ⓘ |
| partOf | Rodalies de Catalunya ⓘ |
| publicTransportMode | rail ⓘ |
| railNetwork | Rodalies de Catalunya ⓘ |
| railwaySystem | Spanish railway system ⓘ |
| regionServed | Catalonia ⓘ |
| safetySystem | Spanish railway signalling system ⓘ |
| servicePattern |
commuter stopping service
ⓘ
regional stopping service ⓘ |
| serviceType |
commuter rail
ⓘ
regional rail ⓘ |
| ticketIntegration | integrated fare system of ATM Barcelona ⓘ |
| trackGauge | Iberian gauge ⓘ |
| usesRollingStockFrom |
Renfe
ⓘ
linked to:
Renfe Operadora
|
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: R25 Description of subject: R25 is a regional rail service within the Rodalies de Catalunya network in Catalonia, Spain.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.