SNCF Class Z 21700
E770590
The SNCF Class Z 21700 is a series of French electric multiple unit trains operated by SNCF for regional passenger services.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SNCF Class Z 21700 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8719845 — 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: SNCF Class Z 21700 Context triple: [Transport Express Régional, usesRollingStockModel, SNCF Class Z 21700]
-
A.
SNCF Class Z 26500
The SNCF Class Z 26500 is a fleet of French double-deck electric multiple unit trains designed for regional passenger services.
-
B.
SNCF Class Z 24500
The SNCF Class Z 24500 is a series of French double-deck electric multiple unit trains designed for regional passenger services.
-
C.
SNCF Class Z 27500
The SNCF Class Z 27500 is a series of modern electric multiple units operated by the French national railway company for regional passenger services.
-
D.
SNCF Class Z 23500
The SNCF Class Z 23500 is a type of French electric multiple unit train designed for regional passenger services, particularly on the Réseau Express Régional (RER) and other suburban lines.
-
E.
SNCF Class Z 31500
The SNCF Class Z 31500 is a type of electric multiple unit train operated by the French national railway company for 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: SNCF Class Z 21700 Target entity description: The SNCF Class Z 21700 is a series of French electric multiple unit trains operated by SNCF for regional passenger services.
-
A.
SNCF Class Z 26500
The SNCF Class Z 26500 is a fleet of French double-deck electric multiple unit trains designed for regional passenger services.
-
B.
SNCF Class Z 24500
The SNCF Class Z 24500 is a series of French double-deck electric multiple unit trains designed for regional passenger services.
-
C.
SNCF Class Z 27500
The SNCF Class Z 27500 is a series of modern electric multiple units operated by the French national railway company for regional passenger services.
-
D.
SNCF Class Z 23500
The SNCF Class Z 23500 is a type of French electric multiple unit train designed for regional passenger services, particularly on the Réseau Express Régional (RER) and other suburban lines.
-
E.
SNCF Class Z 31500
The SNCF Class Z 31500 is a type of electric multiple unit train operated by the French national railway company for regional passenger services.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
electric multiple unit
ⓘ
train class ⓘ |
| controlType | multiple unit ⓘ |
| country | France ⓘ |
| countryOfOperation | France NERFINISHED ⓘ |
| electrificationSystem | overhead line ⓘ |
| gauge | standard gauge ⓘ |
| hasOperator | SNCF NERFINISHED ⓘ |
| operatedBy | SNCF TER NERFINISHED ⓘ |
| operator | SNCF NERFINISHED ⓘ |
| passengerService | yes ⓘ |
| powerType | electricity ⓘ |
| railwayNetwork | French national rail network NERFINISHED ⓘ |
| railwayServiceType | TER regional services ⓘ |
| serviceRole |
passenger
ⓘ
regional ⓘ |
| serviceType | regional train ⓘ |
| trackGauge | 1435 mm ⓘ |
| tractionType | electric ⓘ |
| usedFor | regional passenger services ⓘ |
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: SNCF Class Z 21700 Description of subject: The SNCF Class Z 21700 is a series of French electric multiple unit trains operated by SNCF for regional passenger services.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.