EES-VIS shared biometric matching service
E858305
The EES-VIS shared biometric matching service is a European Union system that enables shared biometric identification and verification across the Entry/Exit System (EES) and the Visa Information System (VIS) to support border management and security.
All labels observed (1)
| Label | Occurrences |
|---|---|
| EES-VIS shared biometric matching service canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10341897 — 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: EES-VIS shared biometric matching service Context triple: [Visa Information System, interoperableWith, EES-VIS shared biometric matching service]
-
A.
Automated Biometric Identification System
The Automated Biometric Identification System is a large-scale U.S. government database and matching system that stores and analyzes biometric data, such as fingerprints and facial images, to verify and identify individuals for security and immigration purposes.
-
B.
Integrated Automated Fingerprint Identification System
The Integrated Automated Fingerprint Identification System is the FBI’s large-scale computerized system for storing, searching, and matching fingerprint and biometric data to support criminal identification and investigative work.
-
C.
Latent and Palm Print Services
Latent and Palm Print Services is a component of the FBI’s Next Generation Identification system that manages, stores, and analyzes latent and palm print data to support biometric identification and criminal investigations.
-
D.
Real-Time Automated Personnel Identification System
The Real-Time Automated Personnel Identification System (RAPIDS) is a U.S. Department of Defense system used to verify identity and issue Common Access Cards and other identification credentials to eligible personnel and dependents.
-
E.
Modified National Institute of Standards and Technology database
The Modified National Institute of Standards and Technology database is a large, standardized collection of handwritten digit images widely used for training and evaluating image processing and machine learning algorithms.
- 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: EES-VIS shared biometric matching service Target entity description: The EES-VIS shared biometric matching service is a European Union system that enables shared biometric identification and verification across the Entry/Exit System (EES) and the Visa Information System (VIS) to support border management and security.
-
A.
Automated Biometric Identification System
The Automated Biometric Identification System is a large-scale U.S. government database and matching system that stores and analyzes biometric data, such as fingerprints and facial images, to verify and identify individuals for security and immigration purposes.
-
B.
Integrated Automated Fingerprint Identification System
The Integrated Automated Fingerprint Identification System is the FBI’s large-scale computerized system for storing, searching, and matching fingerprint and biometric data to support criminal identification and investigative work.
-
C.
Latent and Palm Print Services
Latent and Palm Print Services is a component of the FBI’s Next Generation Identification system that manages, stores, and analyzes latent and palm print data to support biometric identification and criminal investigations.
-
D.
Real-Time Automated Personnel Identification System
The Real-Time Automated Personnel Identification System (RAPIDS) is a U.S. Department of Defense system used to verify identity and issue Common Access Cards and other identification credentials to eligible personnel and dependents.
-
E.
Modified National Institute of Standards and Technology database
The Modified National Institute of Standards and Technology database is a large, standardized collection of handwritten digit images widely used for training and evaluating image processing and machine learning algorithms.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
European Union information system component
ⓘ
biometric matching service ⓘ |
| basedOnPrinciple | one person one identity ⓘ |
| contributesTo |
enhanced checks on visa holders
ⓘ
improved detection of overstayers ⓘ prevention of identity fraud ⓘ prevention of irregular migration ⓘ |
| dataSubject |
third-country nationals applying for Schengen visas
ⓘ
third-country nationals crossing the external borders of the Schengen area ⓘ |
| domain |
border management
ⓘ
internal security ⓘ |
| enables |
shared biometric identification between EES and VIS
ⓘ
shared biometric verification between EES and VIS ⓘ |
| goal |
enhance internal security in the EU
ⓘ
facilitate legitimate travel ⓘ strengthen external border control ⓘ |
| hasFunction |
biometric identification
ⓘ
biometric verification ⓘ |
| hasPurpose |
support border management
ⓘ
support security ⓘ |
| hasStakeholder |
EU Member States border authorities
NERFINISHED
ⓘ
European Commission NERFINISHED ⓘ eu-LISA NERFINISHED ⓘ |
| implementedFor | Schengen area external border control NERFINISHED ⓘ |
| operatesInJurisdiction | European Union NERFINISHED ⓘ |
| partOf |
Entry/Exit System
NERFINISHED
ⓘ
Visa Information System NERFINISHED ⓘ |
| relatedTo |
EU interoperability framework for large-scale IT systems in the area of freedom, security and justice
NERFINISHED
ⓘ
Schengen Borders Code NERFINISHED ⓘ |
| subjectTo |
EU data protection law
ⓘ
EU interoperability regulations for EES and VIS ⓘ Regulation on the Entry/Exit System NERFINISHED ⓘ Regulation on the Visa Information System NERFINISHED ⓘ |
| supportsModality |
1:1 biometric verification
ⓘ
1:N biometric identification ⓘ |
| supportsProcess |
detection of multiple identities
ⓘ
entry checks of third-country nationals ⓘ exit checks of third-country nationals ⓘ identity verification at border crossing points ⓘ visa application processing ⓘ |
| supportsSystem |
EES
NERFINISHED
ⓘ
VIS NERFINISHED ⓘ |
| technologyType | large-scale biometric matching system ⓘ |
| usesDataType |
biometric data
ⓘ
facial image data ⓘ fingerprint data ⓘ |
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: EES-VIS shared biometric matching service Description of subject: The EES-VIS shared biometric matching service is a European Union system that enables shared biometric identification and verification across the Entry/Exit System (EES) and the Visa Information System (VIS) to support border management and security.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.