Class 800 trains
E408642
Class 800 trains are modern bi-mode high-speed multiple units used on Britain’s mainline rail network, notably on intercity routes operated by companies such as London North Eastern Railway.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Class 800 | 2 |
| Class 800 train | 1 |
| Class 800 trains canonical | 1 |
| Class 810 Aurora (planned) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4044015 — 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: Class 800 trains Context triple: [London North Eastern Railway, fleetIncludes, Class 800 trains]
-
A.
Class 802 Nova 1 bi-mode train
The Class 802 Nova 1 is a modern bi-mode intercity train used by TransPennine Express, capable of operating on both electrified and non-electrified routes to provide faster, more flexible services across northern England and Scotland.
-
B.
Class 387 train
The Class 387 train is a modern British electric multiple unit used for high-frequency commuter and regional services, known for its air-conditioned interiors and improved passenger comfort.
-
C.
CP Class 3400 EMU
The CP Class 3400 EMU is a series of electric multiple-unit trains operated by Comboios de Portugal, primarily used for suburban and commuter rail services.
-
D.
Class 745 EMU
The Class 745 EMU is a modern electric multiple unit train used on regional and intercity services in the UK, built for high-capacity, high-comfort passenger operations.
-
E.
CP Class 2240 EMU
The CP Class 2240 EMU is a series of electric multiple unit trains operated by Comboios de Portugal, primarily used for suburban and regional passenger services.
- 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: Class 800 trains Target entity description: Class 800 trains are modern bi-mode high-speed multiple units used on Britain’s mainline rail network, notably on intercity routes operated by companies such as London North Eastern Railway.
-
A.
Class 802 Nova 1 bi-mode train
The Class 802 Nova 1 is a modern bi-mode intercity train used by TransPennine Express, capable of operating on both electrified and non-electrified routes to provide faster, more flexible services across northern England and Scotland.
-
B.
Class 387 train
The Class 387 train is a modern British electric multiple unit used for high-frequency commuter and regional services, known for its air-conditioned interiors and improved passenger comfort.
-
C.
CP Class 3400 EMU
The CP Class 3400 EMU is a series of electric multiple-unit trains operated by Comboios de Portugal, primarily used for suburban and commuter rail services.
-
D.
Class 745 EMU
The Class 745 EMU is a modern electric multiple unit train used on regional and intercity services in the UK, built for high-capacity, high-comfort passenger operations.
-
E.
CP Class 2240 EMU
The CP Class 2240 EMU is a series of electric multiple unit trains operated by Comboios de Portugal, primarily used for suburban and regional passenger services.
- F. None of above. chosen
Statements (50)
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: Class 800 trains Description of subject: Class 800 trains are modern bi-mode high-speed multiple units used on Britain’s mainline rail network, notably on intercity routes operated by companies such as London North Eastern Railway.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Class 800 trains
linked to: Class 800 trains
linked to: Class 800 trains
linked to: Class 800 trains