ePassports
E318620
ePassports are modern, machine-readable passports embedded with a secure electronic chip that stores biometric and personal data to enhance identity verification and border security.
All labels observed (2)
| Label | Occurrences |
|---|---|
| ePassport | 1 |
| ePassports canonical | 1 |
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
biometric identity document
ⓘ
electronic passport ⓘ machine-readable travel document ⓘ |
| dataStoredOnChipIs |
digitally signed
ⓘ
protected against unauthorized modification ⓘ |
| enables |
biometric matching of traveler identity
ⓘ
electronic verification of document authenticity ⓘ |
| hasComponent |
contactless integrated circuit chip
ⓘ
data page ⓘ machine-readable zone ⓘ |
| hasIndicator | ICAO ePassport symbol on cover ⓘ |
| hasPurpose |
enhance border security
ⓘ
facilitate automated border control ⓘ improve identity verification ⓘ reduce passport fraud ⓘ speed up immigration processing ⓘ |
| hasSecurityFeature |
access control mechanisms
ⓘ
anti-cloning protection ⓘ anti-tampering protection ⓘ cryptographic authentication ⓘ digital signature on chip data ⓘ holograms ⓘ microprinting ⓘ optically variable inks ⓘ secure messaging ⓘ watermarks ⓘ |
| introducedIn | early 2000s ⓘ |
| isIssuedBy | national governments ⓘ |
| isRecognizedBy | International Civil Aviation Organization ⓘ |
| isUsedBy | border control authorities ⓘ |
| isUsedIn | automated e-gates ⓘ |
| replaced | non-electronic machine-readable passports in many countries ⓘ |
| requires | specialized readers at border checkpoints ⓘ |
| stores |
biometric data
ⓘ
document expiry date ⓘ holder date of birth ⓘ holder name ⓘ passport holder photograph ⓘ passport number ⓘ personal data ⓘ |
| usesStandard |
Active Authentication
ⓘ
Basic Access Control ⓘ Extended Access Control ⓘ ICAO Doc 9303 ⓘ Logical Data Structure (LDS) ⓘ Passive Authentication ⓘ Public Key Infrastructure ⓘ |
| usesTechnology |
RFID
ⓘ
contactless smart card technology ⓘ |
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: ePassports Description of subject: ePassports are modern, machine-readable passports embedded with a secure electronic chip that stores biometric and personal data to enhance identity verification and border security.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
ePassport