Neasden Depot
E301831
Neasden Depot is a major London Underground maintenance and stabling facility serving trains on the Metropolitan line.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Neasden Depot canonical | 3 |
| Neasden depot | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T2773532 — 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: Neasden Depot Context triple: [Metropolitan line, depot, Neasden Depot]
-
A.
Ealing Common Depot
Ealing Common Depot is a London Underground maintenance and stabling facility serving primarily the District line in west London.
-
B.
Queens Road depot
Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
-
C.
Hammersmith depot
Hammersmith depot is a London Underground maintenance and stabling facility primarily serving the Circle and Hammersmith & City lines.
-
D.
Barking depot
Barking depot is a London Underground maintenance and stabling facility serving trains on the Hammersmith & City line.
-
E.
London Road depot
London Road depot is a maintenance and stabling facility for London Underground trains serving the Bakerloo line near Waterloo in central London.
- 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: Neasden Depot Target entity description: Neasden Depot is a major London Underground maintenance and stabling facility serving trains on the Metropolitan line.
-
A.
Ealing Common Depot
Ealing Common Depot is a London Underground maintenance and stabling facility serving primarily the District line in west London.
-
B.
Queens Road depot
Queens Road depot is a major tram maintenance and operations facility serving the Manchester Metrolink light rail network.
-
C.
Hammersmith depot
Hammersmith depot is a London Underground maintenance and stabling facility primarily serving the Circle and Hammersmith & City lines.
-
D.
Barking depot
Barking depot is a London Underground maintenance and stabling facility serving trains on the Hammersmith & City line.
-
E.
London Road depot
London Road depot is a maintenance and stabling facility for London Underground trains serving the Bakerloo line near Waterloo in central London.
- F. None of above. chosen
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf |
London Underground depot
ⓘ
railway maintenance facility ⓘ |
| adjacentToStation | Neasden Underground station ⓘ |
| country | England ⓘ |
| function |
train maintenance
ⓘ
train stabling ⓘ |
| hasAccessVia | Metropolitan line tracks ⓘ |
| hasRailGauge | standard gauge ⓘ |
| hasType | electric multiple unit depot ⓘ |
| locatedIn |
London
ⓘ
linked to:
London, England
Neasden ⓘ United Kingdom ⓘ |
| locatedInBorough | London Borough of Brent ⓘ |
| network | London Underground ⓘ |
| operatedBy | London Underground ⓘ |
| ownedBy | Transport for London ⓘ |
| partOf | Metropolitan line infrastructure ⓘ |
| servesLine | Metropolitan line ⓘ |
| servesPurpose | stabling of Metropolitan line trains ⓘ |
| servesRollingStockType |
London Underground S Stock
ⓘ
linked to:
London Underground S8 Stock
|
| usedFor |
cleaning of rolling stock
ⓘ
heavy maintenance ⓘ inspection of rolling stock ⓘ light maintenance ⓘ |
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: Neasden Depot Description of subject: Neasden Depot is a major London Underground maintenance and stabling facility serving trains on the Metropolitan line.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Neasden Depot
linked to: Neasden Depot