TX-30

E283684

TX-30 is the commonly used abbreviation for Texas's 30th congressional district, a U.S. House of Representatives district centered in the Dallas area.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label Occurrences
TX-30 canonical 1

Statements (46)

Predicate Object
instanceOf Texas congressional district
United States congressional district
abbreviation TX-30
category Texas congressional districts
surface form: Congressional districts of Texas

Dallas city government
surface form: Government of Dallas, Texas

Texas politics
centeredOn Dallas metropolitan area
chamber lower house
contains Design District (Dallas)
surface form: Dallas Design District

South Dallas / Fair Park area
surface form: Dallas Fair Park area

Dallas Love Field
surface form: Dallas Love Field Airport

Downtown Dallas
surface form: Dallas downtown area

Dallas medical district
country United States of America
surface form: United States
electorateType single-member district
elects one member
firstCreated 1990s
firstElectionHeld 1992
governmentLevel federal
hasRepresentative Jasmine Crockett
jurisdiction federal elections for U.S. House
legislativeBody United States House of Representatives
locatedIn Dallas County, Texas
Tarrant County, Texas
majorCity Balch Springs
surface form: Balch Springs, Texas

Cedar Hill, Texas
Dallas, Texas
DeSoto, Texas
Duncanville
surface form: Duncanville, Texas

Grand Prairie
surface form: Grand Prairie, Texas

Hutchins, Texas
Lancaster, Texas
Wilmer, Texas
officialName Texas's 30th congressional district
partyOfRepresentative Democratic Party
surface form: Democratic Party (United States)
politicalLeaning strongly Democratic
predecessorRepresentative Eddie Bernice Johnson
redistrictedAfter 2010 United States census
2020 United States census
decennial United States Census
surface form: United States census
region North Texas
representedIn United States Congress
state Texas
timeZone Central Time Zone
urbanRuralCharacter predominantly urban
votingSystem first-past-the-post

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: TX-30
Description of subject: TX-30 is the commonly used abbreviation for Texas's 30th congressional district, a U.S. House of Representatives district centered in the Dallas area.

Referenced by (1)

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