CIPSEA
E452555
CIPSEA is a U.S. federal law that governs the confidential treatment of data collected for statistical purposes and promotes efficient data sharing among statistical agencies.
All labels observed (1)
| Label | Occurrences |
|---|---|
| CIPSEA canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4560845 — 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: CIPSEA Context triple: [Confidential Information Protection and Statistical Efficiency Act, shortName, CIPSEA]
-
A.
CESA
CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
-
B.
SEAS
SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
-
C.
SEAS
SEAS is the University of Pennsylvania’s engineering and applied science school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, and mechanical engineering.
-
D.
SEAS
SEAS is an abbreviation commonly used to refer to the Seattle Aquarium, a major public aquarium and marine conservation institution located on the waterfront in Seattle, Washington.
-
E.
CICAP
CICAP is an Italian skeptical organization dedicated to investigating pseudoscience, paranormal claims, and the misuse of science.
- 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: CIPSEA Target entity description: CIPSEA is a U.S. federal law that governs the confidential treatment of data collected for statistical purposes and promotes efficient data sharing among statistical agencies.
-
A.
CESA
CESA is a California state law that protects plant and animal species at risk of extinction by regulating activities that may harm them or their habitats.
-
B.
SEAS
SEAS is the acronym for Yale University's School of Engineering & Applied Science, which houses its engineering and applied science programs.
-
C.
SEAS
SEAS is an abbreviation commonly used to refer to the Seattle Aquarium, a major public aquarium and marine conservation institution located on the waterfront in Seattle, Washington.
-
D.
SEAS
SEAS is the University of Pennsylvania’s engineering and applied science school, offering undergraduate and graduate programs in fields such as computer science, bioengineering, and mechanical engineering.
-
E.
CICAP
CICAP is an Italian skeptical organization dedicated to investigating pseudoscience, paranormal claims, and the misuse of science.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
United States federal law
ⓘ
confidentiality statute ⓘ |
| appliesTo |
administrative records used for statistical purposes
ⓘ
data collected for exclusively statistical purposes ⓘ designated statistical units ⓘ federal statistical agencies ⓘ survey data collected by federal statistical agencies ⓘ |
| basisFor | confidentiality policies of many federal statistical surveys ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| distinguishes | statistical uses of data from nonstatistical uses ⓘ |
| enables |
limited data sharing among designated statistical agencies
ⓘ
statistical efficiency through data sharing ⓘ |
| ensures |
that identifiable information is not disclosed in identifiable form to unauthorized users
ⓘ
that shared data remain subject to confidentiality protections ⓘ |
| fullName | Confidential Information Protection and Statistical Efficiency Act ⓘ |
| governs |
confidential treatment of data collected for statistical purposes
ⓘ
use of data collected under a pledge of confidentiality for exclusively statistical purposes ⓘ |
| imposes |
criminal penalties for knowing and willful unauthorized disclosure of protected information
ⓘ
obligations on officers, employees, and agents of statistical agencies ⓘ |
| influences |
design of secure data enclaves and restricted-use data programs
ⓘ
federal data access and confidentiality agreements ⓘ |
| jurisdiction |
federal government of the United States
ⓘ
linked to:
United States government
|
| legalBasisFor | penalties for wrongful disclosure of protected statistical information ⓘ |
| objective |
encourage survey participation by assuring confidentiality
ⓘ
improve quality and efficiency of federal statistics ⓘ increase public trust in federal statistical systems ⓘ |
| prohibits |
disclosure of identifiable information to unauthorized parties
ⓘ
use of protected information for administrative, regulatory, or law enforcement purposes ⓘ use of protected statistical information for nonstatistical purposes ⓘ |
| protects |
identifiable information about businesses
ⓘ
identifiable information about individuals ⓘ identifiable information about institutions ⓘ respondent confidentiality ⓘ |
| purpose |
establish uniform confidentiality protections for statistical data
ⓘ
promote efficient data sharing among federal statistical agencies ⓘ protect the confidentiality of information collected for statistical purposes ⓘ |
| regulates | access to microdata for research under strict confidentiality conditions ⓘ |
| relatedTo |
U.S. federal statistical system
ⓘ
data sharing among federal agencies ⓘ statistical confidentiality ⓘ |
| requires |
confidentiality pledges to respondents
ⓘ
that data collected under a confidentiality pledge be used only for statistical purposes ⓘ |
| scope | information collected or acquired for exclusively statistical purposes under a pledge of confidentiality ⓘ |
| usedBy |
Bureau of Economic Analysis
ⓘ
Bureau of Labor Statistics ⓘ U.S. Census Bureau ⓘ
linked to:
Bureau of the Census
other federal statistical agencies ⓘ |
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: CIPSEA Description of subject: CIPSEA is a U.S. federal law that governs the confidential treatment of data collected for statistical purposes and promotes efficient data sharing among statistical agencies.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.