R28
E871754
R28 is a regional commuter rail line within the Rodalies de Catalunya network serving passengers in Catalonia, Spain.
All labels observed (1)
| Label | Occurrences |
|---|---|
| R28 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10574960 — 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: R28 Context triple: [Rodalies de Catalunya, hasService, R28]
-
A.
R29
R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
-
B.
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.
-
C.
R8
The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
-
D.
R2
R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
-
E.
R2000
The R2000 is a 32-bit MIPS RISC microprocessor that became one of the earliest and most influential commercial implementations of the MIPS architecture in the mid-1980s.
- 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: R28 Target entity description: R28 is a regional commuter rail line within the Rodalies de Catalunya network serving passengers in Catalonia, Spain.
-
A.
R29
R29 is the internal station code used by the New York City Subway system to identify the 7th Avenue station on the BMT Brighton Line.
-
B.
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.
-
C.
R8
The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
-
D.
R2
R2 is the MBTA station code used to identify Ashmont station on Boston's Red Line transit system.
-
E.
R2000
The R2000 is a 32-bit MIPS RISC microprocessor that became one of the earliest and most influential commercial implementations of the MIPS architecture in the mid-1980s.
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf |
commuter rail line
ⓘ
regional rail service ⓘ |
| country | Spain ⓘ |
| operator | Rodalies de Catalunya ⓘ |
| partOf | Rodalies de Catalunya ⓘ |
| railNetwork |
Rodalies de Catalunya network
ⓘ
linked to:
Rodalies de Catalunya
|
| regionServed |
Catalonia, Spain
ⓘ
linked to:
Catalonia
|
| serves | Catalonia ⓘ |
| serviceType | regional commuter rail ⓘ |
| transportType | passenger rail ⓘ |
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: R28 Description of subject: R28 is a regional commuter rail line within the Rodalies de Catalunya network serving passengers in Catalonia, Spain.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.