Sungai Jernih MRT station
E774258
Sungai Jernih MRT station is a mass rapid transit station serving the town of Kajang in Selangor, Malaysia, as part of the Klang Valley MRT network.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sungai Jernih MRT station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9012925 — 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: Sungai Jernih MRT station Context triple: [Kajang, hasTransportConnection, Sungai Jernih MRT station]
-
A.
Kajang MRT station
Kajang MRT station is a mass rapid transit station in Kajang, Selangor, Malaysia, serving as a key rail hub connecting the town to the greater Kuala Lumpur metropolitan area.
-
B.
Bukit Jalil LRT station
Bukit Jalil LRT station is a light rail transit station in Kuala Lumpur, Malaysia, serving the Bukit Jalil area and major nearby sports facilities.
-
C.
Woodlands MRT station
Woodlands MRT station is a major Mass Rapid Transit interchange in Singapore’s Woodlands town, connecting the North South Line and Thomson–East Coast Line and serving as a key transport hub for the northern region.
-
D.
Subang Jaya station
Subang Jaya station is a major integrated rail and commuter hub in Subang Jaya, Selangor, Malaysia, serving KTM Komuter, LRT, and other local transit services.
-
E.
Tuas West Road MRT station
Tuas West Road MRT station is an elevated Mass Rapid Transit station in western Singapore that serves the Tuas industrial area as part of the East West Line’s Tuas West Extension.
- 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: Sungai Jernih MRT station Target entity description: Sungai Jernih MRT station is a mass rapid transit station serving the town of Kajang in Selangor, Malaysia, as part of the Klang Valley MRT network.
-
A.
Kajang MRT station
Kajang MRT station is a mass rapid transit station in Kajang, Selangor, Malaysia, serving as a key rail hub connecting the town to the greater Kuala Lumpur metropolitan area.
-
B.
Bukit Jalil LRT station
Bukit Jalil LRT station is a light rail transit station in Kuala Lumpur, Malaysia, serving the Bukit Jalil area and major nearby sports facilities.
-
C.
Woodlands MRT station
Woodlands MRT station is a major Mass Rapid Transit interchange in Singapore’s Woodlands town, connecting the North South Line and Thomson–East Coast Line and serving as a key transport hub for the northern region.
-
D.
Subang Jaya station
Subang Jaya station is a major integrated rail and commuter hub in Subang Jaya, Selangor, Malaysia, serving KTM Komuter, LRT, and other local transit services.
-
E.
Tuas West Road MRT station
Tuas West Road MRT station is an elevated Mass Rapid Transit station in western Singapore that serves the Tuas industrial area as part of the East West Line’s Tuas West Extension.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
mass rapid transit station
ⓘ
railway station ⓘ |
| country | Malaysia ⓘ |
| fareSystem | integrated Klang Valley public transport fare system ⓘ |
| hasAbbreviation | MRT Sungai Jernih NERFINISHED ⓘ |
| hasAccessibility | disabled-accessible ⓘ |
| hasBicycleFacilities | bicycle parking ⓘ |
| hasBusConnections | yes ⓘ |
| hasFacilities |
customer service office
ⓘ
escalators ⓘ lifts ⓘ restrooms ⓘ |
| hasLanguageOfName | Malay ⓘ |
| hasNearbyCity | Kuala Lumpur NERFINISHED ⓘ |
| hasNumberOfPlatforms | 2 ⓘ |
| hasNumberOfTracks | 2 ⓘ |
| hasParkAndRide | yes ⓘ |
| hasParking | multi-storey car park ⓘ |
| hasPlatformType | island platform ⓘ |
| hasRegion | Greater Kuala Lumpur NERFINISHED ⓘ |
| hasSafetyFeatures |
CCTV surveillance
ⓘ
platform screen doors ⓘ |
| hasStructureType | elevated station ⓘ |
| hasTicketingSystem |
Touch 'n Go compatible
ⓘ
automated fare collection ⓘ single-journey token ⓘ stored-value card ⓘ |
| hasTransitType | urban rail ⓘ |
| isInTimeZone | Malaysia Time NERFINISHED ⓘ |
| isOnCorridor | Sungai Buloh–Kajang corridor NERFINISHED ⓘ |
| lineColor | green ⓘ |
| locatedIn |
Kajang
NERFINISHED
ⓘ
Klang Valley NERFINISHED ⓘ Selangor NERFINISHED ⓘ Sungai Jernih area ⓘ |
| openingDate | 2017 ⓘ |
| operatedBy | Rapid Rail NERFINISHED ⓘ |
| ownedBy | Mass Rapid Transit Corporation (MRT Corp) NERFINISHED ⓘ |
| partOf |
Kajang Line
NERFINISHED
ⓘ
Klang Valley Mass Rapid Transit NERFINISHED ⓘ |
| publicTransitSystem | Mass Rapid Transit (MRT) NERFINISHED ⓘ |
| railNetwork | Klang Valley MRT network NERFINISHED ⓘ |
| serves | town of Kajang ⓘ |
| servesModeOfTransport | rapid transit ⓘ |
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: Sungai Jernih MRT station Description of subject: Sungai Jernih MRT station is a mass rapid transit station serving the town of Kajang in Selangor, Malaysia, as part of the Klang Valley MRT network.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.