TollTag

E256091

TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label Occurrences
TollTag canonical 9
Autosweep RFID 1

Statements (46)

Predicate Object
instanceOf RFID toll transponder program
electronic toll collection system
advantage automatic toll account management
discounted toll rates compared to pay-by-mail on NTTA roads
no need to stop at toll booths
brandOwner North Texas Tollway Authority
compatibleWith some other Texas toll systems
country United States of America
surface form: United States
hasFeature automatic account replenishment
itemized toll statements
multiple-vehicle support per account
online account management
hasUser commuters
drivers
headquartersLocation Plano, Texas
inception late 1980s
industry road tolling
transportation
language English
locatedInJurisdiction Texas
surface form: State of Texas
network TEXpress Lanes
surface form: NTTA toll road system
operatesIn North Texas
operationalStatus in operation
operator North Texas Tollway Authority
operatorAbbreviation NTTA
paymentMethod prepaid account
purpose automatic toll payment
enable nonstop toll road travel
reduce toll plaza congestion
regionServed Dallas–Fort Worth metroplex
North Texas
surface form: North Central Texas
requires linked payment source
vehicle-mounted transponder
serviceAreaIncludes Chisholm Trail Parkway
Dallas North Tollway
Lewisville Lake Toll Bridge
Mountain Creek Lake Bridge
President George Bush Turnpike
Sam Rayburn Tollway
technologyUsed RFID transponder
radio-frequency identification
usedFor airport parking at some North Texas airports
parking payment at some facilities
toll collection
usedOn North Texas toll roads
website https://www.ntta.org

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: TollTag
Description of subject: TollTag is an electronic toll collection system used on North Texas toll roads, allowing drivers to pay tolls automatically without stopping.

Referenced by (10)

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