CodeNEXT land development code rewrite effort
E682806
land development code rewrite effort
municipal planning initiative
public policy project
urban planning initiative
CodeNEXT was Austin’s controversial, multi-year initiative to comprehensively rewrite and modernize the city’s land development code, aiming to address housing, growth, and affordability before ultimately being abandoned.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CodeNEXT land development code rewrite effort canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7698279 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CodeNEXT land development code rewrite effort Context triple: [Austin land development code, subjectOf, CodeNEXT land development code rewrite effort]
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A.
Code for America
Code for America is a nonprofit organization that partners with governments to improve public services through user-centered design, open-source technology, and civic tech innovation.
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B.
Atlas Next Generation
Atlas Next Generation is an advanced iteration of the Atlas system, offering enhanced capabilities and updated features over its predecessor.
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C.
The Code
"The Code" is a poem by Robert Frost featured in his collection *North of Boston*, reflecting his characteristic exploration of rural New England life and moral complexity.
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D.
Frontier scripting environment
Frontier scripting environment is an early, influential scripting system and object database for the Mac, known for enabling web content automation and pioneering blogging and RSS tools.
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E.
Yet Another Next Generation
Yet Another Next Generation is the full name behind the acronym YANG, a data modeling language widely used to define configuration and state data for network management protocols.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CodeNEXT land development code rewrite effort Target entity description: CodeNEXT was Austin’s controversial, multi-year initiative to comprehensively rewrite and modernize the city’s land development code, aiming to address housing, growth, and affordability before ultimately being abandoned.
-
A.
Code for America
Code for America is a nonprofit organization that partners with governments to improve public services through user-centered design, open-source technology, and civic tech innovation.
-
B.
Atlas Next Generation
Atlas Next Generation is an advanced iteration of the Atlas system, offering enhanced capabilities and updated features over its predecessor.
-
C.
The Code
"The Code" is a poem by Robert Frost featured in his collection *North of Boston*, reflecting his characteristic exploration of rural New England life and moral complexity.
-
D.
Frontier scripting environment
Frontier scripting environment is an early, influential scripting system and object database for the Mac, known for enabling web content automation and pioneering blogging and RSS tools.
-
E.
Yet Another Next Generation
Yet Another Next Generation is the full name behind the acronym YANG, a data modeling language widely used to define configuration and state data for network management protocols.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
land development code rewrite effort
ⓘ
municipal planning initiative ⓘ public policy project ⓘ urban planning initiative ⓘ |
| associatedWith |
Austin growth and development politics
ⓘ
Austin housing affordability debates ⓘ Austin land development code ⓘ |
| characterization |
controversial
ⓘ
multi-year effort ⓘ |
| city |
Austin, Texas
ⓘ
linked to:
Austin
|
| consequence | continued use of older land development code in Austin ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| geographicFocus |
City of Austin city limits
ⓘ
linked to:
City of Austin
|
| governingBody | Austin City Council ⓘ |
| jurisdiction |
City of Austin government
ⓘ
linked to:
Government of the City of Austin
|
| oppositionFrom |
neighborhood groups in Austin
ⓘ
some homeowner organizations ⓘ |
| planningBody | City of Austin Planning and Zoning Department ⓘ |
| policyGoal |
align land use with transportation planning
ⓘ
allow more diverse housing types ⓘ increase housing supply in Austin ⓘ promote compact and connected growth ⓘ reduce sprawl ⓘ update outdated zoning categories ⓘ |
| process |
city council deliberation
ⓘ
draft code preparation ⓘ planning commission review ⓘ public engagement ⓘ |
| publicPerception | highly divisive in Austin politics ⓘ |
| purpose |
address housing affordability in Austin
ⓘ
address housing issues in Austin ⓘ manage population growth in Austin ⓘ modernize Austin’s land development code ⓘ rewrite Austin’s land development code ⓘ |
| reasonForFailure |
community disagreement over density and zoning changes
ⓘ
political opposition ⓘ |
| result | no comprehensive new code implemented ⓘ |
| scope | comprehensive land development code revision ⓘ |
| status |
abandoned
ⓘ
not adopted ⓘ |
| supportFrom |
pro-housing advocates
ⓘ
urbanist and smart-growth advocates ⓘ |
| timeframe | mid-2010s ⓘ |
| topic |
development standards
ⓘ
environmental regulations ⓘ housing policy ⓘ land use regulation ⓘ transportation-oriented development ⓘ urban density ⓘ zoning ⓘ |
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: CodeNEXT land development code rewrite effort Description of subject: CodeNEXT was Austin’s controversial, multi-year initiative to comprehensively rewrite and modernize the city’s land development code, aiming to address housing, growth, and affordability before ultimately being abandoned.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.