Erasmus+ Programme Countries

E17839

Erasmus+ participation category country grouping

Erasmus+ Programme Countries are the European Union member states and associated nations that fully participate in the EU’s Erasmus+ education, training, youth, and sport funding schemes.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label	Occurrences
Erasmus+ Programme Countries canonical	5
Erasmus+ programme	1

Statements (49)

Predicate	Object
instanceOf	Erasmus+ participation category ⓘ country grouping ⓘ
eligibleFor	Erasmus+ Jean Monnet actions ⓘ Erasmus+ capacity-building projects ⓘ Erasmus+ cooperation partnerships ⓘ Erasmus+ mobility projects ⓘ Erasmus+ sport actions ⓘ
governedBy	European Commission ⓘ
hasDefinition	countries that fully participate in the EU’s Erasmus+ education, training, youth and sport funding schemes ⓘ
hasFundingSource	European Union budget ⓘ
hasPolicyArea	education ⓘ sport ⓘ training ⓘ youth ⓘ
hasRole	full participation in Erasmus+ actions ⓘ
includes	Albania ⓘ Algeria ⓘ Armenia ⓘ Azerbaijan ⓘ Belarus ⓘ Bosnia and Herzegovina ⓘ Egypt ⓘ European Union member states ⓘ Georgia ⓘ Iceland ⓘ Israel ⓘ Jordan ⓘ Kosovo* ⓘ Lebanon ⓘ Libya ⓘ Liechtenstein ⓘ Moldova ⓘ Montenegro ⓘ Morocco ⓘ North Macedonia ⓘ Norway ⓘ State of Palestine ⓘ surface form: Palestine* Russia ⓘ Serbia ⓘ Switzerland ⓘ Syria ⓘ Tunisia ⓘ Turkey ⓘ surface form: Türkiye Ukraine ⓘ
partOf	Erasmus+ Programme Countries self-linksurface differs ⓘ surface form: Erasmus+ programme
precededBy	Lifelong Learning Programme participating countries ⓘ
regulatedBy	Erasmus+ Programme Guide ⓘ
relatedTo	Erasmus+ Partner Countries ⓘ
startDate	2014 ⓘ

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: Erasmus+ Programme Countries
Description of subject: Erasmus+ Programme Countries are the European Union member states and associated nations that fully participate in the EU’s Erasmus+ education, training, youth, and sport funding schemes.

Referenced by (6)

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

Erasmus+ mobility programs → geographicalScope → Erasmus+ Programme Countries ⓘ

Erasmus+ Programme Countries → partOf → Erasmus+ Programme Countries self-linksurface differs ⓘ

this entity surface form: Erasmus+ programme

Erasmus+ Partner Countries → differentFrom → Erasmus+ Programme Countries ⓘ

Erasmus+ Partner Countries → cooperateWith → Erasmus+ Programme Countries ⓘ

Erasmus+ cooperation partnerships → geographicalScope → Erasmus+ Programme Countries ⓘ

Erasmus+ programme → eligibleRegion → Erasmus+ Programme Countries ⓘ