Central Station
E355359
Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Central Station canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T3409086 — 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: Central Station Context triple: [METRO Green Line, hasStation, Central Station]
-
A.
Central Station
Central Station is a 1998 Brazilian drama film by Walter Salles that follows the emotional journey of a retired schoolteacher and a young boy traveling across Brazil in search of his father.
-
B.
Christie station
Christie station is a subway station on Toronto's Bloor–Danforth line serving the Christie Street and Bloor Street West area.
-
C.
Luz Station
Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
-
D.
Wonderland station
Wonderland station is a major Massachusetts Bay Transportation Authority rapid transit hub in Revere, Massachusetts, serving as the northern endpoint of Boston’s Blue Line near Revere Beach.
-
E.
Terminal B Station
Terminal B Station is an AirTrain Newark stop serving passengers traveling to and from Terminal B at Newark Liberty International Airport.
- 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: Central Station Target entity description: Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
-
A.
Central Station
Central Station is a 1998 Brazilian drama film by Walter Salles that follows the emotional journey of a retired schoolteacher and a young boy traveling across Brazil in search of his father.
-
B.
Christie station
Christie station is a subway station on Toronto's Bloor–Danforth line serving the Christie Street and Bloor Street West area.
-
C.
Luz Station
Luz Station is a historic railway station and major transportation hub in São Paulo, Brazil, known for its distinctive architecture and cultural significance.
-
D.
Wonderland station
Wonderland station is a major Massachusetts Bay Transportation Authority rapid transit hub in Revere, Massachusetts, serving as the northern endpoint of Boston’s Blue Line near Revere Beach.
-
E.
Terminal B Station
Terminal B Station is an AirTrain Newark stop serving passengers traveling to and from Terminal B at Newark Liberty International Airport.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
light rail station
ⓘ
transit station ⓘ |
| category |
METRO Green Line stations
ⓘ
linked to:
METRO Green Line
Railway stations in Saint Paul, Minnesota ⓘ |
| connectsTo |
local bus routes
ⓘ
regional bus routes ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| fareSystem | METRO fare system ⓘ |
| hasFacility |
benches
ⓘ
shelters ⓘ ticket machines ⓘ |
| hasFeature |
accessible platforms
ⓘ
real-time arrival information ⓘ |
| isKeyStopOn | METRO Green Line ⓘ |
| isTransitHub | true ⓘ |
| lineColor | green ⓘ |
| locatedIn |
Minnesota
ⓘ
Saint Paul ⓘ
linked to:
City of Saint Paul
United States ⓘ
linked to:
United States of America
|
| openingDate | 2014-06-14 ⓘ |
| operator | Metro Transit ⓘ |
| owner | Metro Transit ⓘ |
| partOf | METRO Green Line ⓘ |
| platformType | island platform ⓘ |
| publicTransportSystem |
METRO (Minnesota)
ⓘ
linked to:
METRO (Twin Cities)
|
| railwayLine | METRO Green Line ⓘ |
| role | major transfer point ⓘ |
| servedBy | light rail ⓘ |
| serves | METRO Green Line ⓘ |
| state | Minnesota ⓘ |
| stationType | at-grade 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: Central Station Description of subject: Central Station is a key light rail stop on the METRO Green Line serving as an important transit hub in its area.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.