Eurostar e300 trainsets
E737790
Eurostar e300 trainsets are high-speed electric multiple units originally built as Class 373 trains to operate cross-Channel services through the Channel Tunnel between the UK and mainland Europe.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Eurostar e300 | 4 |
| Eurostar PBKA trainsets | 1 |
| Eurostar e300 trainsets canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8456957 — 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: Eurostar e300 trainsets Context triple: [London–Paris, usesRollingStock, Eurostar e300 trainsets]
-
A.
Eurostar e320 trainsets
Eurostar e320 trainsets are high-speed electric multiple units built by Siemens for Eurostar’s cross-Channel services, offering faster, higher-capacity, and more modern trains on routes such as London–Paris.
-
B.
Eurostar-3000 derivative
The Eurostar-3000 derivative is a modified version of the Eurostar-3000 satellite platform adapted for deep-space missions such as the Mars Express orbiter.
-
C.
TGV Sud-Est trainset
The TGV Sud-Est trainset is the original high-speed electric multiple unit used on France’s pioneering TGV services, known for inaugurating high-speed rail in the country in the early 1980s.
-
D.
X'Trapolis EMU
The X'Trapolis EMU is a modern electric multiple unit train used for suburban passenger services on Melbourne’s metropolitan rail network.
-
E.
TGV Atlantique trainset
The TGV Atlantique trainset is a high-speed French electric multiple unit introduced by SNCF in the late 1980s for services from Paris toward western and southwestern France, once holding the world speed record for rail trains.
- 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: Eurostar e300 trainsets Target entity description: Eurostar e300 trainsets are high-speed electric multiple units originally built as Class 373 trains to operate cross-Channel services through the Channel Tunnel between the UK and mainland Europe.
-
A.
Eurostar e320 trainsets
Eurostar e320 trainsets are high-speed electric multiple units built by Siemens for Eurostar’s cross-Channel services, offering faster, higher-capacity, and more modern trains on routes such as London–Paris.
-
B.
Eurostar-3000 derivative
The Eurostar-3000 derivative is a modified version of the Eurostar-3000 satellite platform adapted for deep-space missions such as the Mars Express orbiter.
-
C.
TGV Sud-Est trainset
The TGV Sud-Est trainset is the original high-speed electric multiple unit used on France’s pioneering TGV services, known for inaugurating high-speed rail in the country in the early 1980s.
-
D.
X'Trapolis EMU
The X'Trapolis EMU is a modern electric multiple unit train used for suburban passenger services on Melbourne’s metropolitan rail network.
-
E.
TGV Atlantique trainset
The TGV Atlantique trainset is a high-speed French electric multiple unit introduced by SNCF in the late 1980s for services from Paris toward western and southwestern France, once holding the world speed record for rail trains.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
high-speed electric multiple unit
ⓘ
train class ⓘ |
| alsoKnownAs |
Class 373
NERFINISHED
ⓘ
TGV TMST NERFINISHED ⓘ |
| brakingSystem |
electro-pneumatic brakes
ⓘ
regenerative braking ⓘ |
| category |
high-speed trains of France
ⓘ
high-speed trains of the United Kingdom ⓘ rolling stock used in the Channel Tunnel ⓘ |
| configuration | articulated multiple-unit ⓘ |
| countryServed |
Belgium
NERFINISHED
ⓘ
France NERFINISHED ⓘ Netherlands (via through running on HSL-Zuid in some periods) ⓘ United Kingdom NERFINISHED ⓘ |
| couplingType | semi-permanently coupled articulated sets ⓘ |
| designedBy | Alstom (TGV-derived design) NERFINISHED ⓘ |
| designedFor |
Channel Tunnel services
ⓘ
cross-Channel high-speed passenger services ⓘ |
| designedForInfrastructure | Channel Tunnel NERFINISHED ⓘ |
| doorType | power-operated plug doors ⓘ |
| family | TGV family NERFINISHED ⓘ |
| gauge | standard gauge ⓘ |
| hasClass |
Business / First Class seating
ⓘ
Standard Class seating ⓘ |
| introducedAs | Class 373 NERFINISHED ⓘ |
| introducedForService | Channel Tunnel opening era ⓘ |
| manufacturer |
Alstom
NERFINISHED
ⓘ
GEC-Alsthom NERFINISHED ⓘ |
| meetsStandard | Channel Tunnel fire safety standards ⓘ |
| operatesOn |
Belgian high-speed lines
ⓘ
High Speed 1 (HS1) NERFINISHED ⓘ LGV Nord NERFINISHED ⓘ |
| operator | Eurostar NERFINISHED ⓘ |
| originalOperator | Eurostar (UK–continental services) NERFINISHED ⓘ |
| owner | Eurostar International Limited NERFINISHED ⓘ |
| powerCollection |
overhead line
ⓘ
third rail (on some units, historically) ⓘ |
| preRefurbishmentDesignation | Class 373 NERFINISHED ⓘ |
| refurbishedAs | Eurostar e300 brand NERFINISHED ⓘ |
| route |
London–Brussels
NERFINISHED
ⓘ
London–Disneyland Paris (seasonal/periodic) ⓘ London–Lille NERFINISHED ⓘ London–Paris NERFINISHED ⓘ |
| safetySystem | Channel Tunnel safety requirements compliant ⓘ |
| serviceBrand | Eurostar e300 NERFINISHED ⓘ |
| serviceType | international passenger ⓘ |
| topSpeed | around 300 km/h ⓘ |
| tractionType | electric ⓘ |
| trainType | high-speed train ⓘ |
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: Eurostar e300 trainsets Description of subject: Eurostar e300 trainsets are high-speed electric multiple units originally built as Class 373 trains to operate cross-Channel services through the Channel Tunnel between the UK and mainland Europe.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Eurostar e300
this entity surface form:
Eurostar e300
this entity surface form:
Eurostar PBKA trainsets
this entity surface form:
Eurostar e300
this entity surface form:
Eurostar e300