WMATA 2000-series railcar
E126165
The WMATA 2000-series railcar is a generation of Washington Metro rapid transit vehicles used across the system’s lines, featuring stainless-steel construction and updated interiors compared to earlier fleets.
All labels observed (4)
| Label | Occurrences |
|---|---|
| WMATA 2000-series railcar canonical | 2 |
| WMATA 2000-series railcars | 2 |
| WMATA railcar fleet | 1 |
| Washington Metro rolling stock | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1091371 — 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: WMATA 2000-series railcar Context triple: [Washington Metro Yellow Line, rollingStock, WMATA 2000-series railcar]
-
A.
MBTA Type 9 Light Rail Vehicle
The MBTA Type 9 Light Rail Vehicle is a modern, low-floor streetcar used on Boston’s Green Line that features improved accessibility, passenger comfort, and energy efficiency compared to earlier MBTA light rail fleets.
-
B.
MBTA Type 7 Light Rail Vehicle
The MBTA Type 7 Light Rail Vehicle is a high-floor, articulated streetcar used on Boston’s Green Line, known for its distinctive design and role as one of the system’s primary light rail fleets.
-
C.
MBTA Type 8 Light Rail Vehicle
The MBTA Type 8 Light Rail Vehicle is a low-floor, articulated streetcar used on Boston’s Green Line, designed to improve accessibility and passenger capacity on the system’s light rail routes.
-
D.
SEPTA Silverliner V
The SEPTA Silverliner V is a modern electric multiple-unit railcar used by Philadelphia's regional rail system for commuter service.
-
E.
SEPTA Silverliner IV
The SEPTA Silverliner IV is an electric multiple-unit commuter railcar used extensively across Philadelphia's regional rail network.
- 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: WMATA 2000-series railcar Target entity description: The WMATA 2000-series railcar is a generation of Washington Metro rapid transit vehicles used across the system’s lines, featuring stainless-steel construction and updated interiors compared to earlier fleets.
-
A.
MBTA Type 9 Light Rail Vehicle
The MBTA Type 9 Light Rail Vehicle is a modern, low-floor streetcar used on Boston’s Green Line that features improved accessibility, passenger comfort, and energy efficiency compared to earlier MBTA light rail fleets.
-
B.
MBTA Type 7 Light Rail Vehicle
The MBTA Type 7 Light Rail Vehicle is a high-floor, articulated streetcar used on Boston’s Green Line, known for its distinctive design and role as one of the system’s primary light rail fleets.
-
C.
MBTA Type 8 Light Rail Vehicle
The MBTA Type 8 Light Rail Vehicle is a low-floor, articulated streetcar used on Boston’s Green Line, designed to improve accessibility and passenger capacity on the system’s light rail routes.
-
D.
SEPTA Silverliner V
The SEPTA Silverliner V is a modern electric multiple-unit railcar used by Philadelphia's regional rail system for commuter service.
-
E.
SEPTA Silverliner IV
The SEPTA Silverliner IV is an electric multiple-unit commuter railcar used extensively across Philadelphia's regional rail network.
- F. None of above. chosen
Statements (38)
| Predicate | Object |
|---|---|
| instanceOf |
Washington Metro rolling stock
ⓘ
electric multiple unit ⓘ rapid transit railcar ⓘ |
| brakeType |
electric braking
ⓘ
pneumatic braking ⓘ |
| category |
Washington Metro rolling stock
ⓘ
linked to:
WMATA 2000-series railcar
electric multiple units of the United States ⓘ |
| compatibleWith | other Washington Metro railcar series ⓘ |
| constructionMaterial | stainless steel ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| designedFor |
high-frequency metro operations
ⓘ
high-platform rapid transit ⓘ |
| doorType | side doors for level boarding ⓘ |
| electrificationSystem | 750 V DC third rail ⓘ |
| gauge | standard gauge ⓘ |
| hasFeature |
multiple-unit train operation
ⓘ
stainless-steel carbody ⓘ updated interiors compared to earlier WMATA fleets ⓘ |
| hasInterior | longitudinal and transverse seating mix ⓘ |
| operatingEnvironment | grade-separated metro ⓘ |
| owner | Washington Metropolitan Area Transit Authority ⓘ |
| partOf |
WMATA railcar fleet
ⓘ
linked to:
WMATA 2000-series railcar
|
| powerCollectionMethod | third rail ⓘ |
| primaryCityServed | Washington, D.C. ⓘ |
| railwayOperator | Washington Metropolitan Area Transit Authority ⓘ |
| regionServed | Washington metropolitan area ⓘ |
| safetySystem | automatic train control compatibility ⓘ |
| serviceType | all-stop metro service ⓘ |
| system | Washington Metro ⓘ |
| trackGauge | 1435 mm ⓘ |
| traction | electric ⓘ |
| usedFor |
commuter travel in Washington metropolitan area
ⓘ
urban passenger transport ⓘ |
| usedOnLine |
Blue Line (Washington Metro)
ⓘ
Green Line (Washington Metro) ⓘ
linked to:
Washington Metro Green Line
Orange Line (Washington Metro) ⓘ Red Line (Washington Metro) ⓘ
linked to:
Washington Metro Red Line
Yellow Line (Washington Metro) ⓘ
linked to:
Washington Metro Yellow Line
|
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: WMATA 2000-series railcar Description of subject: The WMATA 2000-series railcar is a generation of Washington Metro rapid transit vehicles used across the system’s lines, featuring stainless-steel construction and updated interiors compared to earlier fleets.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Red Line
linked to: WMATA 2000-series railcar
linked to: WMATA 2000-series railcar
linked to: WMATA 2000-series railcar
linked to: WMATA 2000-series railcar