Electoral Integrity Project
E933776
The Electoral Integrity Project is a research initiative that evaluates and compares the quality and fairness of elections worldwide using systematic data and expert assessments.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Electoral Integrity Project canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11565715 — 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: Electoral Integrity Project Context triple: [Pippa Norris, founded, Electoral Integrity Project]
-
A.
Voter Education Project
The Voter Education Project was a civil rights-era initiative that worked to increase voter registration and political participation among African Americans in the U.S. South.
-
B.
Election Administration and Voting Survey
The Election Administration and Voting Survey is a comprehensive, nationwide data collection effort that analyzes how elections are run in the United States, including voter registration, ballot casting methods, and administrative practices.
-
C.
CSCE Office for Free Elections
The CSCE Office for Free Elections was an institution within the Conference on Security and Co-operation in Europe tasked with promoting and supporting democratic electoral processes and standards across participating states.
-
D.
Helios voting system
The Helios voting system is an open-source, web-based end-to-end verifiable electronic voting platform designed for secure, transparent, and auditable elections, often used in academic and organizational settings.
-
E.
Project on Fair Representation
The Project on Fair Representation is a legal advocacy organization that challenges race-based policies, particularly in areas like voting rights and affirmative action, often through high-profile litigation.
- 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: Electoral Integrity Project Target entity description: The Electoral Integrity Project is a research initiative that evaluates and compares the quality and fairness of elections worldwide using systematic data and expert assessments.
-
A.
Voter Education Project
The Voter Education Project was a civil rights-era initiative that worked to increase voter registration and political participation among African Americans in the U.S. South.
-
B.
Election Administration and Voting Survey
The Election Administration and Voting Survey is a comprehensive, nationwide data collection effort that analyzes how elections are run in the United States, including voter registration, ballot casting methods, and administrative practices.
-
C.
CSCE Office for Free Elections
The CSCE Office for Free Elections was an institution within the Conference on Security and Co-operation in Europe tasked with promoting and supporting democratic electoral processes and standards across participating states.
-
D.
Helios voting system
The Helios voting system is an open-source, web-based end-to-end verifiable electronic voting platform designed for secure, transparent, and auditable elections, often used in academic and organizational settings.
-
E.
Project on Fair Representation
The Project on Fair Representation is a legal advocacy organization that challenges race-based policies, particularly in areas like voting rights and affirmative action, often through high-profile litigation.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
academic research initiative
ⓘ
research project ⓘ |
| aimsTo |
compare elections worldwide
ⓘ
identify strengths and weaknesses in electoral processes ⓘ inform policy debates on electoral reform ⓘ support democratic governance ⓘ |
| assesses |
campaign finance
ⓘ
district boundaries ⓘ election day processes ⓘ electoral laws ⓘ party and candidate registration ⓘ post-election period ⓘ pre-election period ⓘ results acceptance ⓘ vote counting ⓘ voter registration ⓘ |
| dataType |
country-level election scores
ⓘ
expert-coded indicators ⓘ temporal election series ⓘ |
| evaluates |
campaign environment
ⓘ
electoral laws and procedures ⓘ electoral management bodies ⓘ media coverage of elections ⓘ national elections ⓘ subnational elections ⓘ vote count and results process ⓘ |
| field |
comparative politics
ⓘ
electoral studies ⓘ political science ⓘ |
| focusesOn |
comparative assessment of elections
ⓘ
electoral integrity ⓘ fairness of elections ⓘ quality of elections ⓘ |
| geographicScope | global ⓘ |
| hasConcept | Perceptions of Electoral Integrity index ⓘ |
| hasOutput |
country rankings on electoral integrity
ⓘ
methodological documentation ⓘ working papers ⓘ |
| produces |
academic publications
ⓘ
cross-national election quality datasets ⓘ reports on electoral integrity ⓘ |
| subjectOf | scholarly research ⓘ |
| usedBy |
academics
ⓘ
civil society organizations ⓘ international organizations ⓘ policy makers ⓘ |
| usesMethod |
comparative indices
ⓘ
expert surveys ⓘ systematic data collection ⓘ |
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: Electoral Integrity Project Description of subject: The Electoral Integrity Project is a research initiative that evaluates and compares the quality and fairness of elections worldwide using systematic data and expert assessments.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.