LNER 4771 Green Arrow
E760832
LNER 4771 Green Arrow is a preserved British steam locomotive of the LNER Class V2, renowned as one of the most significant surviving examples of its type.
All labels observed (2)
| Label | Occurrences |
|---|---|
| LNER 4771 Green Arrow canonical | 2 |
| LNER Class V2 4771 Green Arrow | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8845369 — 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: LNER 4771 Green Arrow Context triple: [LNER Class V2, notablePreservedExample, LNER 4771 Green Arrow]
-
A.
LNER Azuma
LNER Azuma is a modern high-speed intercity train fleet used by London North Eastern Railway on the UK’s East Coast Main Line.
-
B.
LNER Class A4 4468 Mallard
LNER Class A4 4468 Mallard is a famous British steam locomotive best known for holding the world speed record for steam traction, set in 1938.
-
C.
British Rail Class 57
The British Rail Class 57 is a rebuilt diesel-electric locomotive class for the UK rail network, created by re-engineering older locomotives with updated engines and systems to extend their service life and improve performance.
-
D.
LNER Class A3 4472 Flying Scotsman
LNER Class A3 4472 Flying Scotsman is a famous British steam locomotive renowned for being one of the world’s most iconic express passenger engines and the first to officially reach 100 mph.
-
E.
British Rail Class 143
The British Rail Class 143 is a type of diesel multiple unit "Pacer" train built in the 1980s for use on regional and commuter rail services in the UK.
- 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: LNER 4771 Green Arrow Target entity description: LNER 4771 Green Arrow is a preserved British steam locomotive of the LNER Class V2, renowned as one of the most significant surviving examples of its type.
-
A.
LNER Azuma
LNER Azuma is a modern high-speed intercity train fleet used by London North Eastern Railway on the UK’s East Coast Main Line.
-
B.
LNER Class A4 4468 Mallard
LNER Class A4 4468 Mallard is a famous British steam locomotive best known for holding the world speed record for steam traction, set in 1938.
-
C.
British Rail Class 57
The British Rail Class 57 is a rebuilt diesel-electric locomotive class for the UK rail network, created by re-engineering older locomotives with updated engines and systems to extend their service life and improve performance.
-
D.
LNER Class A3 4472 Flying Scotsman
LNER Class A3 4472 Flying Scotsman is a famous British steam locomotive renowned for being one of the world’s most iconic express passenger engines and the first to officially reach 100 mph.
-
E.
British Rail Class 143
The British Rail Class 143 is a type of diesel multiple unit "Pacer" train built in the 1980s for use on regional and commuter rail services in the UK.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
LNER Class V2 locomotive
ⓘ
steam locomotive ⓘ |
| boilerPressure | 220 psi ⓘ |
| brakeType | vacuum brake ⓘ |
| buildDate | 1936 ⓘ |
| builder |
LNER Doncaster Works
ⓘ
linked to:
Doncaster Works
|
| buildLocation | Doncaster Works ⓘ |
| builtFor | London and North Eastern Railway ⓘ |
| category |
Individual locomotives of the London and North Eastern Railway
ⓘ
National Railway Museum rolling stock ⓘ
linked to:
National Railway Museum
Preserved steam locomotives of Great Britain ⓘ |
| class | LNER Class V2 ⓘ |
| collection | National Collection (UK) ⓘ |
| configuration | prairie ⓘ |
| country | United Kingdom ⓘ |
| currentStatus | static display ⓘ |
| cylinderArrangement | three-cylinder ⓘ |
| cylinderCount | 3 ⓘ |
| designer | Nigel Gresley ⓘ |
| enteredService | 1936 ⓘ |
| fleetNumber |
4771
ⓘ
60800 ⓘ |
| fuelType | coal ⓘ |
| gauge | standard gauge ⓘ |
| heritageRailwayUse |
mainline excursions (historical)
ⓘ
preserved railway operations (historical) ⓘ |
| name | Green Arrow ⓘ |
| notableFor |
being one of the most significant surviving LNER Class V2 locomotives
ⓘ
mixed-traffic service ⓘ |
| operator | London and North Eastern Railway ⓘ |
| owner | National Railway Museum ⓘ |
| powerType | steam ⓘ |
| preserved | true ⓘ |
| regionOfOperation |
British Railways Eastern Region
ⓘ
linked to:
British Rail Eastern Region
LNER network ⓘ
linked to:
LNER long-distance services
|
| retiredFromService | 1962 ⓘ |
| survivorOfClass | LNER Class V2 ⓘ |
| UICClassification | 1′C1′ h3 ⓘ |
| usedFor |
freight trains
ⓘ
passenger trains ⓘ |
| valveGear | Walschaerts ⓘ |
| wheelArrangement | 2-6-2 ⓘ |
| worksNumber | 1866 ⓘ |
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: LNER 4771 Green Arrow Description of subject: LNER 4771 Green Arrow is a preserved British steam locomotive of the LNER Class V2, renowned as one of the most significant surviving examples of its type.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.