ECRIS-TCN
E904510
ECRIS-TCN is a European Union information system that supports the exchange of criminal records of non-EU nationals among member states to improve judicial and law enforcement cooperation.
All labels observed (2)
| Label | Occurrences |
|---|---|
| ECRIS-TCN canonical | 5 |
| ECRIS-TCN central database | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11096600 — 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: ECRIS-TCN Context triple: [eu-LISA, managesSystem, ECRIS-TCN]
-
A.
ECR
ECR is the East Central Railway zone of Indian Railways, responsible for operating and managing rail services primarily in the eastern and east-central regions of India.
-
B.
ECR
ECR is a European political party and parliamentary group that brings together conservative and Eurosceptic parties advocating for EU reform and national sovereignty.
-
C.
ECRA
ECRA is a U.S. federal law that modernizes and strengthens controls on the export of sensitive technologies and goods important to national security and foreign policy.
-
D.
ECI
ECI is the independent constitutional authority responsible for administering and supervising elections in India at the national and state levels.
-
E.
ECIT
ECIT is a research institute focused on advancing electronics, communications, and information technology.
- 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: ECRIS-TCN Target entity description: ECRIS-TCN is a European Union information system that supports the exchange of criminal records of non-EU nationals among member states to improve judicial and law enforcement cooperation.
-
A.
ECR
ECR is the East Central Railway zone of Indian Railways, responsible for operating and managing rail services primarily in the eastern and east-central regions of India.
-
B.
ECR
ECR is a European political party and parliamentary group that brings together conservative and Eurosceptic parties advocating for EU reform and national sovereignty.
-
C.
ECRA
ECRA is a U.S. federal law that modernizes and strengthens controls on the export of sensitive technologies and goods important to national security and foreign policy.
-
D.
ECI
ECI is the independent constitutional authority responsible for administering and supervising elections in India at the national and state levels.
-
E.
ECIT
ECIT is a research institute focused on advancing electronics, communications, and information technology.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
European Union information system
ⓘ
centralised information system ⓘ |
| acronymFor | European Criminal Records Information System for Third Country Nationals ⓘ |
| aimsTo |
ensure that information on convictions of third-country nationals is available across the EU
ⓘ
prevent offenders from hiding convictions by moving between Member States ⓘ |
| appliesTo |
persons with multiple nationalities including EU and non-EU
ⓘ
stateless persons ⓘ third-country nationals ⓘ |
| covers | EU Member States participating in ECRIS ⓘ |
| dataController | Member States for the data they enter ⓘ |
| dataProcessor | eu-LISA for the central system ⓘ |
| dataSubjects | convicted third-country nationals in the EU ⓘ |
| doesNotStore | full criminal records ⓘ |
| enteredIntoForce | 2019-06-11 ⓘ |
| excludes | Denmark from participation in the central system ⓘ |
| fullName | European Criminal Records Information System for Third Country Nationals ⓘ |
| geographicalScope | European Union ⓘ |
| hasCentralSystem |
ECRIS-TCN central database
ⓘ
linked to:
ECRIS-TCN
|
| hasComponent |
central hit/no-hit identification mechanism
ⓘ
central repository of identity data ⓘ |
| hasPurpose |
improve judicial cooperation in criminal matters in the European Union
ⓘ
improve law enforcement cooperation in the European Union ⓘ support the exchange of criminal records of non-EU nationals among EU Member States ⓘ |
| interoperableWith | ECRIS ⓘ |
| language | multilingual system ⓘ |
| legalBasis |
Regulation (EU) 2019/816
ⓘ
Regulation (EU) 2019/816 of the European Parliament and of the Council of 17 April 2019 ⓘ
linked to:
Regulation (EU) 2019/816
|
| managesDataOn |
identity data of EU nationals who also hold third-country nationality
ⓘ
identity data of convicted stateless persons ⓘ identity data of convicted third-country nationals ⓘ |
| operationalManagementBy | eu-LISA ⓘ |
| partOf | European Criminal Records Information System architecture ⓘ |
| policyArea |
judicial cooperation in criminal matters
ⓘ
police cooperation ⓘ |
| relatedTo |
Entry/Exit System
ⓘ
European Travel Information and Authorisation System ⓘ Schengen Information System ⓘ Visa Information System ⓘ |
| sector | justice and home affairs ⓘ |
| stores | identity information linked to criminal convictions ⓘ |
| subjectTo |
Directive (EU) 2016/680 for competent authorities
ⓘ
EU data protection rules ⓘ Regulation (EU) 2018/1725 for EU institutions ⓘ
linked to:
Regulation (EU) 2018/1725
|
| supervisedBy | European Commission ⓘ |
| supports |
identification of Member States holding criminal records of a third-country national
ⓘ
subsequent exchange of criminal records via decentralised ECRIS ⓘ |
| uses |
alphanumeric identity data
ⓘ
fingerprint data for identification ⓘ |
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: ECRIS-TCN Description of subject: ECRIS-TCN is a European Union information system that supports the exchange of criminal records of non-EU nationals among member states to improve judicial and law enforcement cooperation.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: ECRIS-TCN