Outram Park MRT station
E805951
Outram Park MRT station is a major underground Mass Rapid Transit interchange in Singapore serving multiple lines and providing access to the Outram and Chinatown areas.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Outram Park MRT station canonical | 3 |
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf | Mass Rapid Transit station ⓘ |
| accessible | yes ⓘ |
| country | Singapore ⓘ |
| electrification | 750 V DC third rail ⓘ |
| fareZone | 1 ⓘ |
| hasArtInTransitWork |
Commuting Waves by Ian Woo
NERFINISHED
ⓘ
Memories by Teo Eng Seng NERFINISHED ⓘ New artwork on Thomson–East Coast Line platforms ⓘ |
| hasConcourseType |
paid concourse
ⓘ
unpaid concourse ⓘ |
| hasExit |
Exit A
ⓘ
Exit B ⓘ Exit C ⓘ Exit D ⓘ Exit E ⓘ Exit F ⓘ Exit G ⓘ |
| hasNumberOfPlatforms | 6 ⓘ |
| hasNumberOfTracks | 6 ⓘ |
| hasPlatformType | island platform ⓘ |
| hasStationType | interchange station ⓘ |
| isInterchangeStationFor |
East West Line
NERFINISHED
ⓘ
North East Line NERFINISHED ⓘ Thomson–East Coast Line NERFINISHED ⓘ |
| lineOpening |
East West Line section opened 12 December 1987
ⓘ
North East Line section opened 20 June 2003 ⓘ Thomson–East Coast Line section opened 13 November 2022 ⓘ |
| locatedIn |
Central Area, Singapore
NERFINISHED
ⓘ
Central Region, Singapore NERFINISHED ⓘ Outram, Singapore NERFINISHED ⓘ |
| nearbyDistrict | Chinatown, Singapore NERFINISHED ⓘ |
| nearbyFacility |
Health Promotion Board building
NERFINISHED
ⓘ
Outram Community Hospital NERFINISHED ⓘ Pearl’s Hill City Park NERFINISHED ⓘ Singapore General Hospital NERFINISHED ⓘ |
| openingDate | 12 December 1987 ⓘ |
| operatedBy |
SBS Transit
NERFINISHED
ⓘ
SMRT Trains NERFINISHED ⓘ |
| ownedBy | Land Transport Authority NERFINISHED ⓘ |
| servedBy |
East West Line
NERFINISHED
ⓘ
North East Line NERFINISHED ⓘ Thomson–East Coast Line NERFINISHED ⓘ |
| servesArea |
Chinatown
NERFINISHED
ⓘ
Outram NERFINISHED ⓘ |
| stationCode |
EW16
ⓘ
NE3 ⓘ TE17 ⓘ |
| structureType | underground ⓘ |
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: Outram Park MRT station Description of subject: Outram Park MRT station is a major underground Mass Rapid Transit interchange in Singapore serving multiple lines and providing access to the Outram and Chinatown areas.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.