Waterfront station (Green Line, Washington Metro)
E218355
Waterfront station is a Washington Metro Green Line subway station serving the Southwest Waterfront neighborhood in Washington, D.C.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Waterfront station (Green Line, Washington Metro) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1954286 — 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: Waterfront station (Green Line, Washington Metro) Context triple: [Southwest Waterfront, transportConnection, Waterfront station (Green Line, Washington Metro)]
-
A.
Crystal City station (Washington Metro)
Crystal City station (Washington Metro) is an underground rapid transit station in Arlington, Virginia, serving the Blue and Yellow Lines and providing access to the Crystal City business district near Reagan National Airport.
-
B.
Union Station (Washington Metro)
Union Station is a major Washington Metro station in Washington, D.C., serving as a key transit hub connected to the historic Union Station rail terminal and multiple local and regional transportation services.
-
C.
Anacostia station
Anacostia station is a Washington Metro rapid transit stop in Southeast Washington, D.C., serving the Anacostia neighborhood.
-
D.
Crystal City station
Crystal City station is an underground Washington Metro stop in Arlington, Virginia, serving the Crystal City business district and nearby Reagan National Airport.
-
E.
Foggy Bottom–GWU station
Foggy Bottom–GWU station is a Washington, D.C. Metrorail station on the Blue, Orange, and Silver lines serving the George Washington University campus and nearby landmarks including the Kennedy Center.
- 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: Waterfront station (Green Line, Washington Metro) Target entity description: Waterfront station is a Washington Metro Green Line subway station serving the Southwest Waterfront neighborhood in Washington, D.C.
-
A.
Crystal City station (Washington Metro)
Crystal City station (Washington Metro) is an underground rapid transit station in Arlington, Virginia, serving the Blue and Yellow Lines and providing access to the Crystal City business district near Reagan National Airport.
-
B.
Union Station (Washington Metro)
Union Station is a major Washington Metro station in Washington, D.C., serving as a key transit hub connected to the historic Union Station rail terminal and multiple local and regional transportation services.
-
C.
Anacostia station
Anacostia station is a Washington Metro rapid transit stop in Southeast Washington, D.C., serving the Anacostia neighborhood.
-
D.
Crystal City station
Crystal City station is an underground Washington Metro stop in Arlington, Virginia, serving the Crystal City business district and nearby Reagan National Airport.
-
E.
Foggy Bottom–GWU station
Foggy Bottom–GWU station is a Washington, D.C. Metrorail station on the Blue, Orange, and Silver lines serving the George Washington University campus and nearby landmarks including the Kennedy Center.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
Washington Metro station
ⓘ
rapid transit station ⓘ |
| adjacentNeighborhood |
Southwest Federal Center area
ⓘ
linked to:
Southwest Federal Center
The Wharf (Washington, D.C.) waterfront development ⓘ
linked to:
The Wharf (Washington, D.C.)
|
| category |
Railway stations in Washington, D.C.
ⓘ
Underground railway stations in the United States ⓘ Washington Metro Green Line stations ⓘ
linked to:
Washington Metro Green Line
|
| country | United States of America ⓘ |
| fareCollection | faregates at mezzanine level ⓘ |
| fareControlType | barrier faregates ⓘ |
| fareSystem | SmarTrip ⓘ |
| fareZoneSystem | flat fare system ⓘ |
| hasAccessibility | accessible for disabled persons ⓘ |
| hasFeature |
elevators
ⓘ
escalators ⓘ station mezzanine ⓘ underground fare lobby ⓘ |
| hasLighting | artificial underground lighting ⓘ |
| hasPassengerInformation | electronic next-train displays ⓘ |
| hasSecurity | CCTV surveillance ⓘ |
| hasService |
all-day Green Line service
ⓘ
peak-period Green Line service ⓘ |
| hasSignage | WMATA standard signage ⓘ |
| hasTicketing | automated farecard machines ⓘ |
| isInNetwork |
WMATA rail network
ⓘ
linked to:
Washington Metro
|
| isPartOfUrbanRail | yes ⓘ |
| isSubwayStation | yes ⓘ |
| locatedIn |
Southwest Waterfront, Washington, D.C.
ⓘ
linked to:
Southwest Washington, D.C.
Washington, D.C. ⓘ |
| numberOfPlatforms | 1 ⓘ |
| numberOfTracks | 2 ⓘ |
| operatedBy | Washington Metropolitan Area Transit Authority ⓘ |
| ownedBy | Washington Metropolitan Area Transit Authority ⓘ |
| partOf | Washington Metro ⓘ |
| platformConfiguration | island platform ⓘ |
| primaryMode | heavy rail rapid transit ⓘ |
| publicTransitSystem | Metrorail ⓘ |
| railwayLineServed |
Green Line (Washington Metro)
ⓘ
linked to:
Washington Metro Green Line
|
| safetySystems |
emergency intercoms
ⓘ
fire detection systems ⓘ |
| serves |
Southwest Waterfront neighborhood
ⓘ
linked to:
Southwest Waterfront
Southwest quadrant of Washington, D.C. ⓘ
linked to:
Southwest Washington, D.C.
|
| servesLineColor | Green ⓘ |
| structureType | underground station ⓘ |
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: Waterfront station (Green Line, Washington Metro) Description of subject: Waterfront station is a Washington Metro Green Line subway station serving the Southwest Waterfront neighborhood in Washington, D.C.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.