Z 5600
E726444
Z 5600 is a class of French electric multiple unit trains used for suburban passenger services in the Paris region.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Z 5600 canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T8304108 — 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: Z 5600 Context triple: [Line R, rollingStock, Z 5600]
-
A.
Zen 5
Zen 5 is AMD’s next-generation CPU microarchitecture designed to power high-performance processors across server, desktop, and mobile platforms.
-
B.
Zen 2
Zen 2 is AMD’s second-generation Ryzen/EPYC CPU microarchitecture, known for its 7 nm process, significant IPC gains, and strong multi-core performance in desktops and servers.
-
C.
Z 50000 (Francilien)
The Z 50000, known as the Francilien, is a modern electric multiple unit train used for suburban and regional passenger services in the Île-de-France region around Paris.
-
D.
Zen 3
Zen 3 is AMD’s high-performance CPU microarchitecture that significantly improved instructions-per-clock, gaming performance, and power efficiency over its predecessors in Ryzen and EPYC processors.
-
E.
Z 22500
Z 22500 is a class of French double-deck electric multiple unit trains operated by SNCF, primarily used for suburban commuter services around Paris.
- 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: Z 5600 Target entity description: Z 5600 is a class of French electric multiple unit trains used for suburban passenger services in the Paris region.
-
A.
Zen 5
Zen 5 is AMD’s next-generation CPU microarchitecture designed to power high-performance processors across server, desktop, and mobile platforms.
-
B.
Zen 2
Zen 2 is AMD’s second-generation Ryzen/EPYC CPU microarchitecture, known for its 7 nm process, significant IPC gains, and strong multi-core performance in desktops and servers.
-
C.
Z 50000 (Francilien)
The Z 50000, known as the Francilien, is a modern electric multiple unit train used for suburban and regional passenger services in the Île-de-France region around Paris.
-
D.
Zen 3
Zen 3 is AMD’s high-performance CPU microarchitecture that significantly improved instructions-per-clock, gaming performance, and power efficiency over its predecessors in Ryzen and EPYC processors.
-
E.
Z 22500
Z 22500 is a class of French double-deck electric multiple unit trains operated by SNCF, primarily used for suburban commuter services around Paris.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
electric multiple unit
ⓘ
train class ⓘ |
| belongsTo | SNCF rolling stock ⓘ |
| brakeType | electro-pneumatic brakes ⓘ |
| carType |
double-deck motor car
ⓘ
double-deck trailer ⓘ |
| country | France ⓘ |
| couplingType | Scharfenberg coupler NERFINISHED ⓘ |
| designedBy | SNCF NERFINISHED ⓘ |
| designedFor | high-capacity commuter traffic ⓘ |
| designFeature | double-deck intermediate cars to increase capacity ⓘ |
| doorControl | driver-operated doors ⓘ |
| doorType | sliding plug doors ⓘ |
| electricSystem |
1.5 kV DC overhead line
ⓘ
25 kV AC 50 Hz overhead line ⓘ |
| family | Z 2N ⓘ |
| gauge | standard gauge ⓘ |
| hasSuccessorClass |
Z 20500
ⓘ
Z 20900 ⓘ Z 8800 NERFINISHED ⓘ |
| introducedInService | 1983 ⓘ |
| manufacturer |
Alsthom
NERFINISHED
ⓘ
Francorail NERFINISHED ⓘ |
| multipleWorking | can work in multiple with other Z 2N classes ⓘ |
| numberOfCarsPerUnit | 4 ⓘ |
| operatingArea |
Paris region
NERFINISHED
ⓘ
Île-de-France NERFINISHED ⓘ |
| operator | SNCF NERFINISHED ⓘ |
| owner | SNCF NERFINISHED ⓘ |
| passengerAccess | high-platform boarding ⓘ |
| powerCollectionMethod | overhead catenary ⓘ |
| primaryUse | Paris suburban network NERFINISHED ⓘ |
| railwaySystem | French National Railways NERFINISHED ⓘ |
| region |
Île-de-France region
ⓘ
surface form:
Île-de-France
|
| rollingStockCategory | suburban EMU ⓘ |
| serviceOperator |
RER C
NERFINISHED
ⓘ
Transilien NERFINISHED ⓘ |
| serviceStatus | in service ⓘ |
| serviceType | suburban passenger service ⓘ |
| trackGauge | 1435 mm ⓘ |
| tractionType | electric ⓘ |
| trainConfiguration | double-deck ⓘ |
| UICClassification | Bo′Bo′+2′2′+2′2′+Bo′Bo′ ⓘ |
| usedFor |
commuter rail
ⓘ
regional rail ⓘ |
| usedOnNetwork |
RER C
NERFINISHED
ⓘ
Transilien NERFINISHED ⓘ |
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: Z 5600 Description of subject: Z 5600 is a class of French electric multiple unit trains used for suburban passenger services in the Paris region.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Line R