Subang Depot
E896726
Subang Depot is a maintenance and storage facility serving trains on the LRT Kelana Jaya Line in the Klang Valley rail network of Malaysia.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Lembah Subang Depot | 1 |
| Subang Depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10958630 — 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: Subang Depot Context triple: [LRT Kelana Jaya Line, depot, Subang Depot]
-
A.
Munyang Depot
Munyang Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
-
B.
Gyaspur Depot
Gyaspur Depot is a major maintenance and stabling facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
C.
Pontinha depot
Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
D.
Oji Depot
Oji Depot is a Tokyo Metro rail yard and maintenance facility serving trains on the Namboku Line in Tokyo, Japan.
-
E.
Nakamozu Depot
Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
- 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: Subang Depot Target entity description: Subang Depot is a maintenance and storage facility serving trains on the LRT Kelana Jaya Line in the Klang Valley rail network of Malaysia.
-
A.
Munyang Depot
Munyang Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
-
B.
Gyaspur Depot
Gyaspur Depot is a major maintenance and stabling facility serving the Ahmedabad Metro system in Ahmedabad, India.
-
C.
Pontinha depot
Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
D.
Oji Depot
Oji Depot is a Tokyo Metro rail yard and maintenance facility serving trains on the Namboku Line in Tokyo, Japan.
-
E.
Nakamozu Depot
Nakamozu Depot is a major rail yard and maintenance facility serving Osaka Metro’s Midosuji Line in Osaka, Japan.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
railway depot
ⓘ
train maintenance facility ⓘ |
| associatedWithCompany | Rapid KL NERFINISHED ⓘ |
| associatedWithLineColor | Kelana Jaya Line NERFINISHED ⓘ |
| continent | Asia ⓘ |
| country | Malaysia ⓘ |
| electrificationSystemServed | 750 V DC third rail ⓘ |
| hasFacilityType |
inspection tracks
ⓘ
maintenance workshop ⓘ stabling yard ⓘ washing plant ⓘ |
| locatedInAdministrativeTerritory | Selangor NERFINISHED ⓘ |
| locatedInOrNearCity | Subang Jaya NERFINISHED ⓘ |
| locatedInRegion | Klang Valley NERFINISHED ⓘ |
| operator | Rapid Rail NERFINISHED ⓘ |
| owner | Prasarana Malaysia Berhad NERFINISHED ⓘ |
| partOfNetwork | Klang Valley rail network NERFINISHED ⓘ |
| primaryFunction |
train maintenance
ⓘ
train stabling ⓘ train storage ⓘ |
| railGauge | standard gauge ⓘ |
| railwayDepotFor | Kelana Jaya Line trains NERFINISHED ⓘ |
| railwaySystem | Rapid KL LRT NERFINISHED ⓘ |
| servesLine | LRT Kelana Jaya Line NERFINISHED ⓘ |
| servesRollingStockType | light rail vehicles ⓘ |
| servesTransitMode | light rail transit ⓘ |
| servesUrbanArea | Greater Kuala Lumpur 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: Subang Depot Description of subject: Subang Depot is a maintenance and storage facility serving trains on the LRT Kelana Jaya Line in the Klang Valley rail network of Malaysia.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Lembah Subang Depot