GINA

E642292

GINA is a U.S. federal law that prohibits discrimination in health insurance and employment based on an individual’s genetic information.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label Occurrences
GINA canonical 2

Statements (48)

Predicate Object
instanceOf United States federal law
aimsTo encourage genetic testing without fear of discrimination
appliesTo employment
health insurance
country United States of America
surface form: United States
covers family medical history
genetic tests of family members
genetic tests of individuals
defines genetic information
doesNotCover disability insurance
life insurance
long-term care insurance
enforcedBy Equal Employment Opportunity Commission NERFINISHED
U.S. Department of Health and Human Services NERFINISHED
U.S. Department of Labor NERFINISHED
U.S. Department of the Treasury NERFINISHED
fullName Genetic Information Nondiscrimination Act NERFINISHED
hasComponent Title I
Title II
legalDomain civil rights law
employment law
health law
prohibits discrimination based on genetic information
genetic discrimination in employment
genetic discrimination in health insurance
harassment based on genetic information
requesting genetic information for employment decisions
requesting genetic information for health insurance underwriting
retaliation for opposing genetic information discrimination
use of genetic information in employment decisions
use of genetic information in health insurance underwriting
protects employees
health insurance plan enrollees
individuals
job applicants
regulates use of genetic information
scope federal government as employer
local governments as employers
private employers with 15 or more employees
state governments as employers
shortName GINA NERFINISHED
subjectOf United States federal anti-discrimination law NERFINISHED
Title I regulates group health plans
health insurance issuers
Title II regulates employers
employment agencies
joint labor-management training programs
labor organizations

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: GINA
Description of subject: GINA is a U.S. federal law that prohibits discrimination in health insurance and employment based on an individual’s genetic information.

Referenced by (2)

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