ICE 4 trainsets
E516212
ICE 4 trainsets are a generation of high-speed electric multiple-unit trains used by Deutsche Bahn for long-distance passenger services across Germany and neighboring countries.
All labels observed (1)
| Label | Occurrences |
|---|---|
| ICE 4 trainsets canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5313214 — 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: ICE 4 trainsets Context triple: [DB Fernverkehr, fleet, ICE 4 trainsets]
-
A.
ICE 1 trainsets
ICE 1 trainsets are Germany’s first generation of high-speed Intercity-Express trains, introduced in the early 1990s for long-distance passenger service.
-
B.
ICE 3 trainsets
ICE 3 trainsets are high-speed electric multiple-unit trains used on Germany’s Intercity-Express network, known for their streamlined design and operation at speeds up to 300 km/h.
-
C.
ICE 2 trainsets
ICE 2 trainsets are a class of German high-speed Intercity-Express trains designed for modular operation, often running in coupled or split formations to serve different destinations efficiently.
-
D.
Intercity V set
The Intercity V set is a class of stainless-steel electric multiple unit trains that have long served as iconic intercity and outer-suburban passenger trains in New South Wales, Australia.
-
E.
Intercity H set (OSCAR)
The Intercity H set (OSCAR) is a class of electric multiple unit trains operating in New South Wales, Australia, designed for longer-distance commuter and intercity services with enhanced passenger comfort and safety features.
- 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: ICE 4 trainsets Target entity description: ICE 4 trainsets are a generation of high-speed electric multiple-unit trains used by Deutsche Bahn for long-distance passenger services across Germany and neighboring countries.
-
A.
ICE 1 trainsets
ICE 1 trainsets are Germany’s first generation of high-speed Intercity-Express trains, introduced in the early 1990s for long-distance passenger service.
-
B.
ICE 3 trainsets
ICE 3 trainsets are high-speed electric multiple-unit trains used on Germany’s Intercity-Express network, known for their streamlined design and operation at speeds up to 300 km/h.
-
C.
ICE 2 trainsets
ICE 2 trainsets are a class of German high-speed Intercity-Express trains designed for modular operation, often running in coupled or split formations to serve different destinations efficiently.
-
D.
Intercity V set
The Intercity V set is a class of stainless-steel electric multiple unit trains that have long served as iconic intercity and outer-suburban passenger trains in New South Wales, Australia.
-
E.
Intercity H set (OSCAR)
The Intercity H set (OSCAR) is a class of electric multiple unit trains operating in New South Wales, Australia, designed for longer-distance commuter and intercity services with enhanced passenger comfort and safety features.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
electric multiple unit
ⓘ
high-speed train ⓘ |
| brakeType |
electropneumatic brakes
ⓘ
regenerative braking ⓘ |
| countryOfOperation | Germany ⓘ |
| couplingType | Scharfenberg coupler ⓘ |
| designedFor |
energy efficiency
ⓘ
modular train length configuration ⓘ |
| doorConfiguration | sliding plug doors ⓘ |
| electrificationSystem | 15 kV 16.7 Hz AC overhead line ⓘ |
| enteredService | December 2017 ⓘ |
| family |
Siemens Velaro family
ⓘ
linked to:
Siemens Velaro
|
| formationVariants |
12-car sets
ⓘ
13-car sets ⓘ 7-car sets ⓘ |
| hasOnboardFacilities |
Wi‑Fi
ⓘ
bicycle spaces ⓘ family area ⓘ first class coaches ⓘ power sockets at seats ⓘ restaurant or bistro car ⓘ second class coaches ⓘ wheelchair spaces ⓘ |
| introduced | 2017 ⓘ |
| livery | white with red stripe ⓘ |
| manufacturer |
Alstom
ⓘ
Bombardier Transportation ⓘ
linked to:
Alstom (formerly Bombardier Transportation)
Siemens Mobility ⓘ
linked to:
Siemens Transportation Systems
|
| operator | Deutsche Bahn ⓘ |
| operatorServiceType | long-distance passenger service ⓘ |
| owner | DB Fernverkehr ⓘ |
| partOfSeries |
DB Intercity-Express
ⓘ
linked to:
InterCityExpress
|
| powerDistribution | distributed traction ⓘ |
| routeUsage |
domestic German long-distance routes
ⓘ
international services to Austria ⓘ international services to Denmark ⓘ international services to Switzerland ⓘ international services to the Netherlands ⓘ |
| successorOf |
ICE 1
ⓘ
ICE 2 ⓘ part of replacement for InterCity locomotive-hauled trains ⓘ |
| topSpeed | 250 km/h ⓘ |
| trackGauge | 1435 mm ⓘ |
| tractionType | electric ⓘ |
| trainProtectionSystem |
ETCS
ⓘ
linked to:
European Train Control System
LZB ⓘ PZB ⓘ |
| UICClass |
Class 412
ⓘ
Class 812 (powerhead/restaurant/other cars) ⓘ |
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: ICE 4 trainsets Description of subject: ICE 4 trainsets are a generation of high-speed electric multiple-unit trains used by Deutsche Bahn for long-distance passenger services across Germany and neighboring countries.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.