Class 700 Desiro City
E161427
The Class 700 Desiro City is a modern electric multiple-unit train used on intensive commuter and cross-London services, particularly on the Thameslink network in the United Kingdom.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Class 700 Desiro City canonical | 6 |
| Class 700 Desiro City EMU | 1 |
| Class 700 Desiro City electric multiple units | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1417528 — 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 700 Desiro City Context triple: [Thameslink, fleetIncludes, Class 700 Desiro City]
-
A.
Class 360 Desiro
The Class 360 Desiro is a type of electric multiple unit passenger train used on regional and commuter services in the UK rail network.
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B.
Class 730 Aventra
The Class 730 Aventra is a modern electric multiple unit train built by Alstom (originally Bombardier) for high-capacity, commuter and regional rail services on the UK network.
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C.
Class 390 Pendolino
The Class 390 Pendolino is a high-speed tilting electric multiple unit train used by Avanti West Coast on the West Coast Main Line in the United Kingdom.
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D.
Class 397 Civity EMU
The Class 397 Civity EMU is a modern high-speed electric multiple unit built by CAF for intercity services in the UK, notably on routes linking north of England cities with Scotland.
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E.
Class 158 Express Sprinter
The Class 158 Express Sprinter is a British diesel multiple-unit train introduced in the late 1980s for regional and intercity services, known for its improved comfort and performance over earlier Sprinter units.
- 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 700 Desiro City Target entity description: The Class 700 Desiro City is a modern electric multiple-unit train used on intensive commuter and cross-London services, particularly on the Thameslink network in the United Kingdom.
-
A.
Class 360 Desiro
The Class 360 Desiro is a type of electric multiple unit passenger train used on regional and commuter services in the UK rail network.
-
B.
Class 730 Aventra
The Class 730 Aventra is a modern electric multiple unit train built by Alstom (originally Bombardier) for high-capacity, commuter and regional rail services on the UK network.
-
C.
Class 390 Pendolino
The Class 390 Pendolino is a high-speed tilting electric multiple unit train used by Avanti West Coast on the West Coast Main Line in the United Kingdom.
-
D.
Class 397 Civity EMU
The Class 397 Civity EMU is a modern high-speed electric multiple unit built by CAF for intercity services in the UK, notably on routes linking north of England cities with Scotland.
-
E.
Class 158 Express Sprinter
The Class 158 Express Sprinter is a British diesel multiple-unit train introduced in the late 1980s for regional and intercity services, known for its improved comfort and performance over earlier Sprinter units.
- 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 700 Desiro City Description of subject: The Class 700 Desiro City is a modern electric multiple-unit train used on intensive commuter and cross-London services, particularly on the Thameslink network in the United Kingdom.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.
Bedford–St Pancras–Sutton route
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usesRollingStock
→
Class 700 Desiro City electric multiple units
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linked to: Class 700 Desiro City
linked to: Class 700 Desiro City