TEXpress Lanes

E93089

TEXpress Lanes are a network of dynamically priced managed toll lanes in North Texas designed to reduce congestion and provide faster travel options alongside existing highways.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (2)

Label Occurrences
NTTA toll road system 1
TEXpress Lanes canonical 1

Statements (50)

Predicate Object
instanceOf dynamic pricing facility
managed lane system
toll road network
accessControl limited access
allows high-occupancy vehicles subject to corridor rules
single-occupant vehicles with toll payment
country United States of America
surface form: United States
currency US dollar
designCharacteristic concurrent flow lanes
physically separated lanes in some segments
hasFeature dynamic toll pricing
electronic toll collection
separated lanes alongside general purpose lanes
variable toll rates based on congestion
hasSegmentOn Interstate 30
Interstate 35E
Interstate 820 NERFINISHED
State Highway 114 NERFINISHED
State Highway 121 NERFINISHED
Texas State Highway 183
surface form: State Highway 183
language English
locatedIn Dallas County, Texas
Dallas–Fort Worth metroplex
surface form: Dallas–Fort Worth metropolitan area

Denton County, Texas
North Texas
Tarrant County, Texas
operatedBy North Texas Tollway Authority
private concessionaires under contract
parallelTo general purpose freeway lanes
partOf Texas state highways
surface form: Texas state highway system
purpose improve travel time reliability
provide faster travel options
reduce traffic congestion
regionServed Arlington, Texas
Dallas, Texas
Fort Worth, Texas
Grapevine, Texas
Irving, Texas
Tarrant County, Texas
surface form: North Tarrant County
regulatingAuthority Texas Department of Transportation
roadType managed lanes
tolled express lanes
state Texas
tollCollectionMethod all-electronic tolling
tollPolicy higher tolls during peak periods
lower tolls during off-peak periods
usesSystem EZ TAG
TollTag
TxTag
electronic toll transponders

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: TEXpress Lanes
Description of subject: TEXpress Lanes are a network of dynamically priced managed toll lanes in North Texas designed to reduce congestion and provide faster travel options alongside existing highways.

Referenced by (2)

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

Interstate 35E tollFacilityName TEXpress Lanes
subject surface form: Interstate 35E (Texas)
TollTag network TEXpress Lanes
this entity surface form: NTTA toll road system