ATMs

E662819
electronic banking device self-service banking terminal

ATMs (Automated Teller Machines) are self-service banking terminals that allow customers to perform financial transactions such as cash withdrawals, deposits, and balance inquiries without the need for a human teller.

Try in SPARQL Jump to: Surface forms Statements Elicitation Referenced by

All labels observed (2)

Label Occurrences
ATMs canonical 2
Chase ATM network 1

Statements (50)

Predicate Object
instanceOf electronic banking device ⓘ
self-service banking terminal ⓘ
abbreviationOf Automated Teller Machine ⓘ
benefit convenient access to cash ⓘ
extended banking hours ⓘ
reduced need for human tellers ⓘ
connectedTo banking network ⓘ
interbank network ⓘ
enables self-service banking ⓘ
feature 24-hour availability ⓘ
EMV chip card support ⓘ
accessibility options ⓘ
encryption of transactions ⓘ
multilingual interface ⓘ
fullForm Automated Teller Machine NERFINISHED ⓘ
hasComponent card reader ⓘ
cash dispenser ⓘ
deposit slot ⓘ
display screen ⓘ
keypad ⓘ
receipt printer ⓘ
security camera ⓘ
introducedIn 1960s ⓘ
locatedAt airports ⓘ
bank branches ⓘ
convenience stores ⓘ
petrol stations ⓘ
shopping malls ⓘ
operatedBy banks ⓘ
credit unions ⓘ
independent ATM deployers ⓘ
requires bank card ⓘ
personal identification number ⓘ
risk PIN theft ⓘ
card skimming ⓘ
card trapping ⓘ
shoulder surfing ⓘ
securedBy alarm systems ⓘ
encryption ⓘ
surveillance cameras ⓘ
tamper-resistant hardware ⓘ
supportsStandard ISO 8583 NERFINISHED ⓘ
usedFor PIN change ⓘ
balance inquiry ⓘ
bill payment ⓘ
cardless cash withdrawal ⓘ
cash deposit ⓘ
cash withdrawal ⓘ
fund transfer ⓘ
mini statement printing ⓘ

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: ATMs
Description of subject: ATMs (Automated Teller Machines) are self-service banking terminals that allow customers to perform financial transactions such as cash withdrawals, deposits, and balance inquiries without the need for a human teller.

Referenced by (3)

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

OS/2 → usedIn → ATMs ⓘ
Chase Bank → hasNetwork → ATMs ⓘ
this entity surface form: Chase ATM network
BOCHK → hasServiceChannel → ATMs ⓘ