Cornell e-Rulemaking Initiative
E571698
The Cornell e-Rulemaking Initiative is a research and policy center that develops and studies online tools to improve public participation and transparency in the federal rulemaking process.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Cornell e-Rulemaking Initiative canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6142991 — 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: Cornell e-Rulemaking Initiative Context triple: [Cornell Law School, hasCenter, Cornell e-Rulemaking Initiative]
-
A.
OPEN Government Act of 2007
The OPEN Government Act of 2007 is a U.S. federal law that strengthened and modernized the Freedom of Information Act by improving transparency, clarifying response deadlines, and enhancing the rights and remedies available to requesters.
-
B.
United Nations E-Government Survey
The United Nations E-Government Survey is a global assessment that evaluates and compares countries’ use of digital technologies to deliver public services and promote inclusive, effective governance.
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C.
UNU Operating Unit on Policy-Driven Electronic Governance
The UNU Operating Unit on Policy-Driven Electronic Governance is a specialized research and training center of the United Nations University focused on how digital technologies can support effective, inclusive, and accountable public governance and policy-making.
-
D.
OPEN Government Data Act
The OPEN Government Data Act is a U.S. law that requires federal agencies to manage their information as open, machine-readable data by default to promote transparency, accessibility, and reuse.
-
E.
Central Data Repository for regulatory reports
The Central Data Repository for regulatory reports is a centralized system used by U.S. financial regulators to collect, store, and manage standardized regulatory reporting data from financial institutions.
- 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: Cornell e-Rulemaking Initiative Target entity description: The Cornell e-Rulemaking Initiative is a research and policy center that develops and studies online tools to improve public participation and transparency in the federal rulemaking process.
-
A.
OPEN Government Act of 2007
The OPEN Government Act of 2007 is a U.S. federal law that strengthened and modernized the Freedom of Information Act by improving transparency, clarifying response deadlines, and enhancing the rights and remedies available to requesters.
-
B.
United Nations E-Government Survey
The United Nations E-Government Survey is a global assessment that evaluates and compares countries’ use of digital technologies to deliver public services and promote inclusive, effective governance.
-
C.
UNU Operating Unit on Policy-Driven Electronic Governance
The UNU Operating Unit on Policy-Driven Electronic Governance is a specialized research and training center of the United Nations University focused on how digital technologies can support effective, inclusive, and accountable public governance and policy-making.
-
D.
OPEN Government Data Act
The OPEN Government Data Act is a U.S. law that requires federal agencies to manage their information as open, machine-readable data by default to promote transparency, accessibility, and reuse.
-
E.
Central Data Repository for regulatory reports
The Central Data Repository for regulatory reports is a centralized system used by U.S. financial regulators to collect, store, and manage standardized regulatory reporting data from financial institutions.
- F. None of above. chosen
Statements (34)
| Predicate | Object |
|---|---|
| instanceOf |
policy center
ⓘ
research center ⓘ |
| affiliation |
Cornell Law School
ⓘ
Cornell University ⓘ |
| aimsTo |
enhance the quality of public input into regulations
ⓘ
increase accountability in regulatory processes ⓘ make rulemaking more accessible to the public ⓘ |
| alternativeName | CeRI ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| field |
administrative law
ⓘ
e-government ⓘ federal rulemaking ⓘ information science ⓘ public participation ⓘ public policy ⓘ |
| focusesOn |
civic engagement
ⓘ
federal regulatory process ⓘ online public participation platforms ⓘ open government data ⓘ regulatory transparency ⓘ use of technology in rulemaking ⓘ |
| language | English ⓘ |
| locatedIn |
Ithaca, New York
ⓘ
linked to:
Ithaca, New York, United States
|
| purpose |
to develop online tools to improve public participation in federal rulemaking
ⓘ
to improve transparency in the federal rulemaking process ⓘ to study the impact of information technology on rulemaking ⓘ |
| researchArea |
accessibility of regulatory information
ⓘ
analysis of public comments in rulemaking ⓘ design of online commenting systems ⓘ user-centered design for rulemaking platforms ⓘ |
| website | https://ceri.law.cornell.edu/ ⓘ |
| worksWith |
U.S. federal agencies
ⓘ
academic researchers ⓘ civil society 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: Cornell e-Rulemaking Initiative Description of subject: The Cornell e-Rulemaking Initiative is a research and policy center that develops and studies online tools to improve public participation and transparency in the federal rulemaking process.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.