VM
E940550
VM is the station code assigned to V. Mapa station in the Manila Light Rail Transit system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| VM canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11679874 — 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: VM Context triple: [V. Mapa station, hasStationCode, VM]
-
A.
VM
VM is IBM's family of mainframe virtual machine operating systems designed to run multiple operating environments concurrently on System/370 and successor hardware.
-
B.
VM
VM is the abbreviation for the Volksmarine, the navy of the former German Democratic Republic (East Germany).
-
C.
VMX
VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
-
D.
VMC
VMC is the Venus Monitoring Camera, a wide-angle imaging instrument on the European Space Agency’s Venus Express spacecraft used to study Venus’s atmosphere and cloud dynamics.
-
E.
Virtual Machine Manager
Virtual Machine Manager is a Microsoft System Center component used to centrally manage, configure, and deploy virtualized datacenter resources across Hyper-V and other virtualization platforms.
- 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: VM Target entity description: VM is the station code assigned to V. Mapa station in the Manila Light Rail Transit system.
-
A.
VM
VM is the abbreviation for the Volksmarine, the navy of the former German Democratic Republic (East Germany).
-
B.
VM
VM is IBM's family of mainframe virtual machine operating systems designed to run multiple operating environments concurrently on System/370 and successor hardware.
-
C.
VMX
VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
-
D.
VMC
VMC is the Venus Monitoring Camera, a wide-angle imaging instrument on the European Space Agency’s Venus Express spacecraft used to study Venus’s atmosphere and cloud dynamics.
-
E.
Virtual Machine Manager
Virtual Machine Manager is a Microsoft System Center component used to centrally manage, configure, and deploy virtualized datacenter resources across Hyper-V and other virtualization platforms.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
railway station code
ⓘ
transportation identifier ⓘ |
| appliesTo | V. Mapa station platforms ⓘ |
| assignedTo | V. Mapa station ⓘ |
| codeLength | 2 characters ⓘ |
| codeType | station code ⓘ |
| country | Philippines ⓘ |
| firstCharacter | V ⓘ |
| identifierFor |
V. Mapa station in operational systems
ⓘ
V. Mapa station on route maps ⓘ
linked to:
V. Mapa station
|
| locatedInCity | Manila ⓘ |
| locatedInSystem |
Manila LRT Line 2 network
ⓘ
linked to:
Manila LRT Line 2
|
| notationSystem | Manila LRT station coding scheme ⓘ |
| operator | Light Rail Transit Authority ⓘ |
| partOf | set of Manila LRT station codes ⓘ |
| region | Metro Manila ⓘ |
| relatedTo | V. Mapa station ⓘ |
| script | Latin alphabet ⓘ |
| secondCharacter | M ⓘ |
| transportMode |
rapid transit
ⓘ
urban rail ⓘ |
| usedBy |
passenger information systems
ⓘ
railway operations staff ⓘ signage and wayfinding materials ⓘ |
| usedIn |
LRT Line 2
ⓘ
Manila Light Rail Transit System ⓘ |
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: VM Description of subject: VM is the station code assigned to V. Mapa station in the Manila Light Rail Transit system.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.