Typing entities lays the groundwork for implementing automated processes for data validation and cleansing, directly contributing to data consistency and reliability. With clearly defined types, algorithms can easily identify outliers, inconsistencies, or errors that deviate from the normative attributes of each type. This automation allows for real-time or scheduled maintenance tasks that ensure data remains clean, accurate, and up-to-date. The ability to systematically validate and cleanse data at scale not only improves the reliability of the dataset but also significantly enhances the efficiency of data management practices within the Geo ecosystem, making it a more trustworthy source of information for all users.