Somerset MRT station
E454584
Somerset MRT station is an underground Mass Rapid Transit station on Singapore’s North South Line serving the Orchard and Somerset shopping district.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Somerset MRT station canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4574207 — 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: Somerset MRT station Context triple: [The Istana, nearbyMRTStation, Somerset MRT station]
-
A.
Dhoby Ghaut MRT station
Dhoby Ghaut MRT station is a major underground interchange in Singapore’s Mass Rapid Transit network, linking multiple lines and serving the busy Orchard Road and Civic District area.
-
B.
Shaw Boulevard MRT station
Shaw Boulevard MRT station is a major elevated rapid transit stop on Manila’s MRT Line 3 serving the busy commercial and business district of Mandaluyong in Metro Manila, Philippines.
-
C.
Xiangshan MRT Station
Xiangshan MRT Station is a Taipei Metro station on the Red Line that serves as the gateway to the popular Elephant Mountain hiking trail and scenic overlook of the city.
-
D.
Boni MRT station
Boni MRT station is an elevated rapid transit station on Manila's MRT Line 3 serving the city of Mandaluyong in Metro Manila, Philippines.
-
E.
Richland Hills Station
Richland Hills Station is a commuter rail stop in Richland Hills, Texas, served by the Trinity Railway Express line connecting Fort Worth and Dallas.
- 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: Somerset MRT station Target entity description: Somerset MRT station is an underground Mass Rapid Transit station on Singapore’s North South Line serving the Orchard and Somerset shopping district.
-
A.
Dhoby Ghaut MRT station
Dhoby Ghaut MRT station is a major underground interchange in Singapore’s Mass Rapid Transit network, linking multiple lines and serving the busy Orchard Road and Civic District area.
-
B.
Shaw Boulevard MRT station
Shaw Boulevard MRT station is a major elevated rapid transit stop on Manila’s MRT Line 3 serving the busy commercial and business district of Mandaluyong in Metro Manila, Philippines.
-
C.
Xiangshan MRT Station
Xiangshan MRT Station is a Taipei Metro station on the Red Line that serves as the gateway to the popular Elephant Mountain hiking trail and scenic overlook of the city.
-
D.
Boni MRT station
Boni MRT station is an elevated rapid transit station on Manila's MRT Line 3 serving the city of Mandaluyong in Metro Manila, Philippines.
-
E.
Richland Hills Station
Richland Hills Station is a commuter rail stop in Richland Hills, Texas, served by the Trinity Railway Express line connecting Fort Worth and Dallas.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
Mass Rapid Transit station
ⓘ
underground railway station ⓘ |
| cityServed | Singapore NERFINISHED ⓘ |
| connectsTo |
313@Somerset
ⓘ
Orchard Central NERFINISHED ⓘ Orchard Gateway NERFINISHED ⓘ |
| country | Singapore ⓘ |
| electrification | 750 V DC third rail ⓘ |
| fareZone | 1 ⓘ |
| hasAccessibility |
escalators
ⓘ
lifts ⓘ wheelchair accessible ⓘ |
| hasArtInTransit | yes ⓘ |
| hasBicycleFacilities | no dedicated bicycle parking at station concourse ⓘ |
| hasBusConnections | Somerset Road bus stops nearby ⓘ |
| hasConcourseType | paid concourse at basement level ⓘ |
| hasDepth | shallow underground ⓘ |
| hasExit |
Exit A
ⓘ
Exit B ⓘ Exit C ⓘ Exit D ⓘ |
| hasFaregates | yes ⓘ |
| hasPassengerServiceHours | approximately 5:30 am to around midnight ⓘ |
| hasPlatformScreenDoors | yes ⓘ |
| hasPlatformType | island platform ⓘ |
| hasSafetyFeature |
CCTV surveillance
ⓘ
fire protection systems ⓘ |
| hasStationCode | NS23 NERFINISHED ⓘ |
| locatedIn |
Central Area
NERFINISHED
ⓘ
Central Region, Singapore NERFINISHED ⓘ Orchard planning area NERFINISHED ⓘ |
| locatedOn | North South Line between Dhoby Ghaut and Orchard ⓘ |
| near |
Emerald Hill
NERFINISHED
ⓘ
Killiney Road NERFINISHED ⓘ |
| numberOfPlatforms | 2 ⓘ |
| numberOfTracks | 2 ⓘ |
| openingDate | 12 December 1987 ⓘ |
| operatedBy | SMRT Trains NERFINISHED ⓘ |
| ownedBy | Land Transport Authority NERFINISHED ⓘ |
| partOfNetwork | Singapore MRT NERFINISHED ⓘ |
| servedByLine | North South Line NERFINISHED ⓘ |
| servesDistrict |
Orchard shopping district
NERFINISHED
ⓘ
Somerset shopping district ⓘ |
| structureType | underground ⓘ |
| symbol | MRT NERFINISHED ⓘ |
| ticketingSystem | contactless smart card (EZ-Link, NETS FlashPay) ⓘ |
| usesSignallingSystem | CBTC NERFINISHED ⓘ |
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: Somerset MRT station Description of subject: Somerset MRT station is an underground Mass Rapid Transit station on Singapore’s North South Line serving the Orchard and Somerset shopping district.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.