X60 EMU

E467342

commuter train electric multiple unit passenger train

The X60 EMU is a modern electric multiple unit train used for high-capacity commuter services in the Stockholm region.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label	Occurrences
X60 EMU canonical	1
X60B EMU	1

Statements (32)

Predicate	Object
instanceOf	commuter train ⓘ electric multiple unit ⓘ passenger train ⓘ
category	electric multiple units in Sweden ⓘ rail transport in Sweden ⓘ
country	Sweden ⓘ
designedFor	frequent-stop operation ⓘ high passenger capacity ⓘ suburban services ⓘ
doorConfiguration	multiple side doors per car ⓘ
electrificationSystem	overhead line ⓘ
gauge	standard gauge ⓘ
hasFeature	high acceleration suitable for stop-and-go service ⓘ high passenger capacity interiors ⓘ multiple-unit control ⓘ
operator	SL NERFINISHED ⓘ Storstockholms Lokaltrafik NERFINISHED ⓘ
passengerService	regional commuters ⓘ suburban commuters ⓘ
powerType	electricity ⓘ
propulsion	electric motors ⓘ
role	primary rolling stock for Stockholm commuter services ⓘ
serviceArea	Stockholm commuter rail network NERFINISHED ⓘ Stockholm region NERFINISHED ⓘ
serviceType	commuter rail ⓘ regional rail ⓘ
trackGauge	1435 mm ⓘ
tractionType	electric ⓘ
usedFor	high-capacity commuter services ⓘ
usedIn	public transport in Stockholm ⓘ
usedOn	electrified main lines around Stockholm ⓘ
vehicleType	multiple unit ⓘ

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: X60 EMU
Description of subject: The X60 EMU is a modern electric multiple unit train used for high-capacity commuter services in the Stockholm region.

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Stockholm commuter rail → usesRollingStock → X60 EMU ⓘ

this entity surface form: X60B EMU