OpenOrgs is a tool designed to address the challenge of disambiguating organizations involved in the research process. Its primary functionality lies in resolving the ambiguity in information aggregated from various research organization registries, such as ROR and EC, and integrating this information into the OpenAIRE Research Graph. OpenOrgs employs a combination of automated processes and human curation. The automated deduplication algorithm initially groups organizations based on similarities in their metadata. This is followed by manual curation, which validates and enhances the automated process's results. The main benefit of OpenOrgs to its users is the significant reduction in confusion and errors when identifying and referencing research organizations. This clarity is crucial for accurate data aggregation and analysis in the research field. By ensuring more accurate organization identification, OpenOrgs helps eliminate the risk of misinformation and enhances the overall quality of research data. The primary beneficiaries of OpenOrgs include researchers, research performing organizations (RPOs), research funding organizations (RFOs), and other stakeholders in the Open Science community. These users benefit from the enhanced accuracy and reliability of organization-related information, which is essential for various aspects of the research process, including reporting, collaboration, and analysis.