Prujakan Station
E768883
Prujakan Station is a railway station in Cirebon, Indonesia, serving as one of the city’s key stops for regional and intercity train services.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Prujakan Station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8681378 — 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: Prujakan Station Context triple: [Cirebon railway stations, hasStation, Prujakan Station]
-
A.
Anonas station
Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
-
B.
Kitasando Station
Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
-
C.
Agrícola Oriental station
Agrícola Oriental station is a Mexico City Metro station serving the Agrícola Oriental neighborhood in the eastern part of the city.
-
D.
Ryen station
Ryen station is a metro station in Oslo, Norway, serving the Østensjø area on the city's rapid transit network.
-
E.
Nopo Station
Nopo Station is a major subway and bus terminal in Busan, South Korea, serving as a key transportation hub for the northeastern part of the city.
- 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: Prujakan Station Target entity description: Prujakan Station is a railway station in Cirebon, Indonesia, serving as one of the city’s key stops for regional and intercity train services.
-
A.
Anonas station
Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
-
B.
Kitasando Station
Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
-
C.
Agrícola Oriental station
Agrícola Oriental station is a Mexico City Metro station serving the Agrícola Oriental neighborhood in the eastern part of the city.
-
D.
Ryen station
Ryen station is a metro station in Oslo, Norway, serving the Østensjø area on the city's rapid transit network.
-
E.
Nopo Station
Nopo Station is a major subway and bus terminal in Busan, South Korea, serving as a key transportation hub for the northeastern part of the city.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
railway station
ⓘ
train station ⓘ |
| connectsTo | other cities in Java ⓘ |
| continent | Asia ⓘ |
| country | Indonesia ⓘ |
| hasAccessibility | public transport access ⓘ |
| hasBuildingType | transport infrastructure ⓘ |
| hasFunction | passenger rail transport ⓘ |
| hasLanguageOfSignage | Indonesian ⓘ |
| hasPassengerRole |
alighting point
ⓘ
boarding point ⓘ |
| hasRegionalImportance | key stop in Cirebon ⓘ |
| hasServiceType |
passenger services
ⓘ
ticketing services ⓘ train alighting ⓘ train boarding ⓘ |
| hasStructureType | ground-level station ⓘ |
| hasTransportMode | rail ⓘ |
| isKeyStopFor | Cirebon ⓘ |
| locatedIn | Cirebon ⓘ |
| locatedInAdministrativeTerritory | West Java ⓘ |
| locatedInCity | Cirebon ⓘ |
| locatedInIsland | Java ⓘ |
| locatedInTimeZone |
Western Indonesia Time
ⓘ
linked to:
Western Indonesian Time
|
| operatedBy | Kereta Api Indonesia ⓘ |
| ownedBy | Government of Indonesia ⓘ |
| partOf | Indonesian railway network ⓘ |
| servedBy |
intercity trains
ⓘ
regional trains ⓘ |
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: Prujakan Station Description of subject: Prujakan Station is a railway station in Cirebon, Indonesia, serving as one of the city’s key stops for regional and intercity train services.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.