D400–D449
E903757
D400–D449 were the original British Railways number range allocated to the Class 50 diesel-electric locomotives introduced in the late 1960s for high-speed passenger services.
All labels observed (1)
| Label | Occurrences |
|---|---|
| D400–D449 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11081085 — 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.
Target entity: D400–D449 Context triple: [British Rail Class 50, fleetNumbers, D400–D449]
-
A.
D40
D40 is the third-generation Nissan Navara mid-size pickup truck platform produced globally in the mid-2000s to 2010s.
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B.
D48
D48 is a prehistoric megalithic dolmen located in the municipality of Aa en Hunze in the Dutch province of Drenthe.
-
C.
D-2000
D-2000 was the civil registration of the pioneering German Junkers G 38, one of the largest and most distinctive all-metal airliners of the late 1920s and early 1930s.
-
D.
D4
D4 is a commuter rail line within Moscow’s Moscow Central Diameters network, connecting suburban areas with the city through frequent, urban-style train service.
-
E.
D-2500
D-2500 was the German civil-registered prototype and primary example of the Junkers G 38, a large all-metal four-engine transport aircraft of the late 1920s and early 1930s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: D400–D449 Target entity description: D400–D449 were the original British Railways number range allocated to the Class 50 diesel-electric locomotives introduced in the late 1960s for high-speed passenger services.
-
A.
D40
D40 is the third-generation Nissan Navara mid-size pickup truck platform produced globally in the mid-2000s to 2010s.
-
B.
D48
D48 is a prehistoric megalithic dolmen located in the municipality of Aa en Hunze in the Dutch province of Drenthe.
-
C.
D-2000
D-2000 was the civil registration of the pioneering German Junkers G 38, one of the largest and most distinctive all-metal airliners of the late 1920s and early 1930s.
-
D.
D4
D4 is a commuter rail line within Moscow’s Moscow Central Diameters network, connecting suburban areas with the city through frequent, urban-style train service.
-
E.
D-2500
D-2500 was the German civil-registered prototype and primary example of the Junkers G 38, a large all-metal four-engine transport aircraft of the late 1920s and early 1930s.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
British Railways locomotive numbering series
ⓘ
locomotive number range ⓘ |
| allocatedTo | British Rail Class 50 NERFINISHED ⓘ |
| appliedToNumberOfLocomotives | 50 ⓘ |
| associatedWithClassificationSystem | pre-TOPS British Railways numbering GENERATED ⓘ |
| country | United Kingdom ⓘ |
| era | British Rail corporate blue period NERFINISHED ⓘ |
| gauge | standard gauge ⓘ |
| highestNumber | D449 ⓘ |
| introducedFor | high-speed passenger services ⓘ |
| introducedInDecade | late 1960s ⓘ |
| laterClassDesignation | Class 50 ⓘ |
| locomotiveType | diesel-electric ⓘ |
| lowestNumber | D400 ⓘ |
| network | British Rail network NERFINISHED ⓘ |
| powerType | diesel-electric ⓘ |
| preTOPSClassDesignation | D400 series ⓘ |
| primaryRouteType | main line ⓘ |
| railwayOperator | British Rail Western Region NERFINISHED ⓘ |
| regionOfInitialOperation | West Coast Main Line NERFINISHED ⓘ |
| regionOfLaterOperation | Western Region of British Rail NERFINISHED ⓘ |
| serviceRole |
express passenger
ⓘ
inter-regional passenger ⓘ |
| successorNumberingScheme | Class 50 TOPS numbers NERFINISHED ⓘ |
| tractionClass | Type 4 diesel ⓘ |
| usedBy |
British Rail
NERFINISHED
ⓘ
British Railways NERFINISHED ⓘ |
| usedFor |
high-speed diesel-hauled services
ⓘ
long-distance passenger 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.
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.
Subject: D400–D449 Description of subject: D400–D449 were the original British Railways number range allocated to the Class 50 diesel-electric locomotives introduced in the late 1960s for high-speed passenger services.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.