Line H depot
E191069
Line H depot is the maintenance and storage facility serving Line H of the Buenos Aires Underground metro system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Line H depot canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1699325 — 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: Line H depot Context triple: [Buenos Aires Underground, hasDepot, Line H depot]
-
A.
Diversey station
Diversey station is a Chicago Transit Authority 'L' train stop in the Lincoln Park neighborhood, served primarily by the Brown and Purple Lines.
-
B.
Pontinha depot
Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
C.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
D.
Hewlett station
Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
-
E.
Queens Road depot
Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light 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: Line H depot Target entity description: Line H depot is the maintenance and storage facility serving Line H of the Buenos Aires Underground metro system.
-
A.
Diversey station
Diversey station is a Chicago Transit Authority 'L' train stop in the Lincoln Park neighborhood, served primarily by the Brown and Purple Lines.
-
B.
Pontinha depot
Pontinha depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
C.
Fürth depot
Fürth depot is a maintenance and storage facility serving the Nuremberg U-Bahn rapid transit system in the Fürth area of Germany.
-
D.
Hewlett station
Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
-
E.
Queens Road depot
Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
maintenance facility
ⓘ
metro depot ⓘ railway depot ⓘ rolling stock storage facility ⓘ |
| associatedWithMode |
metro
ⓘ
urban rail ⓘ |
| hasFunction |
enable off-service train storage
ⓘ
provide stabling tracks for trains ⓘ support Line H operations ⓘ |
| infrastructureType |
railway infrastructure
ⓘ
transport infrastructure ⓘ |
| locatedInCity | Buenos Aires ⓘ |
| locatedInCountry | Argentina ⓘ |
| networkRole |
operational base for Line H
ⓘ
rolling stock management facility for Line H ⓘ |
| partOfSystem | Buenos Aires Underground ⓘ |
| servesLine | Line H (Buenos Aires Underground) ⓘ |
| servesPurpose |
ensure availability of trains for Line H
ⓘ
support reliability of Line H service ⓘ |
| usedByOperator | Buenos Aires Underground operator ⓘ |
| usedFor |
heavy maintenance
ⓘ
inspection of rolling stock ⓘ light repairs ⓘ maintenance of Line H trains ⓘ storage of Line H trains ⓘ |
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: Line H depot Description of subject: Line H depot is the maintenance and storage facility serving Line H of the Buenos Aires Underground metro system.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.