DLT
E813975
DLT is the National Rail station code for Dalton-in-Furness railway station in Cumbria, England.
All labels observed (1)
| Label | Occurrences |
|---|---|
| DLT canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9673283 — 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: DLT Context triple: [Dalton-in-Furness railway station, stationCode, DLT]
-
A.
DLS
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
-
B.
DL-1
DL-1 is the vehicle registration code assigned to motor vehicles registered in the North Delhi district of India’s National Capital Territory.
-
C.
DTL
DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
-
D.
DLG
DLG is the vehicle registration code for the municipality of Blindheim in Germany.
-
E.
BLDTF
BLDTF is a U.S. federal trust fund that pays disability benefits and related expenses to coal miners (and their survivors) who are totally disabled by pneumoconiosis, commonly known as black lung disease.
- 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: DLT Target entity description: DLT is the National Rail station code for Dalton-in-Furness railway station in Cumbria, England.
-
A.
DLS
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
-
B.
DL-1
DL-1 is the vehicle registration code assigned to motor vehicles registered in the North Delhi district of India’s National Capital Territory.
-
C.
DTL
DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
-
D.
DLG
DLG is the vehicle registration code for the municipality of Blindheim in Germany.
-
E.
BLDTF
BLDTF is a U.S. federal trust fund that pays disability benefits and related expenses to coal miners (and their survivors) who are totally disabled by pneumoconiosis, commonly known as black lung disease.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf | National Rail station code ⓘ |
| adminArea |
Borough of Barrow-in-Furness
ⓘ
linked to:
Barrow-in-Furness
|
| appliesInJurisdiction | Great Britain ⓘ |
| appliesTo | passenger rail services ⓘ |
| associatedWith | Dalton-in-Furness ⓘ |
| codeFormat | three-letter alphabetic code ⓘ |
| country | England ⓘ |
| hasRole | unique identifier for Dalton-in-Furness railway station ⓘ |
| isAbbreviationOf |
Dalton-in-Furness railway station
ⓘ
linked to:
Dalton railway station
|
| language | English ⓘ |
| locatedIn | Cumbria ⓘ |
| maintainedBy | National Rail Enquiries ⓘ |
| railNetwork | National Rail ⓘ |
| region | North West England ⓘ |
| represents | Dalton-in-Furness railway station ⓘ |
| standard | UK railway station coding system ⓘ |
| system | National Location Code / CRS-style station code system ⓘ |
| transportInfrastructureType | railway station code ⓘ |
| transportMode | rail ⓘ |
| usedBy | train operating companies in Great Britain ⓘ |
| usedFor |
journey planning
ⓘ
ticketing ⓘ timetables ⓘ |
| usedIn |
online ticket booking systems
ⓘ
printed rail timetables ⓘ rail journey planners in Great Britain ⓘ |
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: DLT Description of subject: DLT is the National Rail station code for Dalton-in-Furness railway station in Cumbria, England.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.