Siemens SD160 LRVs
E415415
The Siemens SD160 LRVs are a series of modern, high-floor light rail vehicles widely used across North American transit systems for urban passenger service.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Siemens SD-series LRVs | 1 |
| Siemens SD-series light rail vehicles | 1 |
| Siemens SD160 LRVs canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4099634 — 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: Siemens SD160 LRVs Context triple: [Edmonton LRT, hasRollingStock, Siemens SD160 LRVs]
-
A.
Siemens U2 LRVs
Siemens U2 LRVs are a series of high-floor light rail vehicles built by Siemens for urban transit systems, widely used in early North American and European light rail networks.
-
B.
Siemens P2000 light rail vehicles
Siemens P2000 light rail vehicles are a fleet of electric light rail cars built by Siemens for use on Los Angeles Metro Rail lines.
-
C.
Siemens S700 light rail vehicles
Siemens S700 light rail vehicles are modern low-floor light rail cars designed by Siemens Mobility for urban transit systems, featuring improved accessibility, energy efficiency, and passenger comfort.
-
D.
Siemens S200 (Muni LRV4)
The Siemens S200 (Muni LRV4) is a modern low-floor light rail vehicle used by San Francisco’s Muni Metro system for improved reliability, accessibility, and passenger comfort.
-
E.
Siemens modular metro trains
Siemens modular metro trains are a family of customizable, electric multiple-unit metro vehicles designed by Siemens for urban rapid transit systems.
- 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: Siemens SD160 LRVs Target entity description: The Siemens SD160 LRVs are a series of modern, high-floor light rail vehicles widely used across North American transit systems for urban passenger service.
-
A.
Siemens U2 LRVs
Siemens U2 LRVs are a series of high-floor light rail vehicles built by Siemens for urban transit systems, widely used in early North American and European light rail networks.
-
B.
Siemens P2000 light rail vehicles
Siemens P2000 light rail vehicles are a fleet of electric light rail cars built by Siemens for use on Los Angeles Metro Rail lines.
-
C.
Siemens S700 light rail vehicles
Siemens S700 light rail vehicles are modern low-floor light rail cars designed by Siemens Mobility for urban transit systems, featuring improved accessibility, energy efficiency, and passenger comfort.
-
D.
Siemens S200 (Muni LRV4)
The Siemens S200 (Muni LRV4) is a modern low-floor light rail vehicle used by San Francisco’s Muni Metro system for improved reliability, accessibility, and passenger comfort.
-
E.
Siemens modular metro trains
Siemens modular metro trains are a family of customizable, electric multiple-unit metro vehicles designed by Siemens for urban rapid transit systems.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf | light rail vehicle ⓘ |
| articulation | articulated LRV ⓘ |
| bodyConstruction | steel carbody ⓘ |
| brakeSystem |
electrodynamic braking
ⓘ
pneumatic braking ⓘ |
| category |
Siemens rail vehicles
ⓘ
linked to:
Siemens rolling stock
light rail vehicles in Canada ⓘ light rail vehicles in the United States ⓘ |
| configuration | two-ended cab configuration ⓘ |
| controlType | multiple-unit control ⓘ |
| couplingType | automatic couplers ⓘ |
| designFeature |
climate control for passenger comfort
ⓘ
high acceleration for frequent stops ⓘ high-floor boarding from raised platforms ⓘ |
| doorConfiguration | bi-directional side doors ⓘ |
| doorOperation | electric sliding doors ⓘ |
| electricSystem | 750 V DC ⓘ |
| floorHeight | high-floor ⓘ |
| followedBy | Siemens S70 ⓘ |
| intendedUse | urban passenger service ⓘ |
| manufacturer |
Siemens Mobility
ⓘ
linked to:
Siemens Transportation Systems
Siemens Transportation Systems ⓘ |
| market | North American light rail systems ⓘ |
| operationMode | bidirectional operation ⓘ |
| operator |
Calgary CTrain
NERFINISHED
ⓘ
Calgary Transit NERFINISHED ⓘ Denver RTD ⓘ Edmonton Transit Service NERFINISHED ⓘ Salt Lake City UTA TRAX ⓘ
linked to:
Salt Lake City TRAX
San Diego Trolley ⓘ |
| powerCollectionMethod | overhead catenary ⓘ |
| precededBy | Siemens SD100 ⓘ |
| productLine |
Siemens SD-series LRVs
ⓘ
linked to:
Siemens SD160 LRVs
|
| propulsion | electric traction motors ⓘ |
| serviceRegion |
Canada
ⓘ
North America ⓘ United States ⓘ
linked to:
United States of America
|
| trackGauge | standard gauge ⓘ |
| usedFor |
light rail transit
ⓘ
urban rail transport ⓘ |
| vehicleType | high-floor LRV ⓘ |
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: Siemens SD160 LRVs Description of subject: The Siemens SD160 LRVs are a series of modern, high-floor light rail vehicles widely used across North American transit systems for urban passenger service.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.