By categorizing entities, it becomes possible to construct structured datasets that are essential for machine learning algorithms. These structured datasets allow for more efficient data processing and analysis, as algorithms can easily interpret and learn from the data based on its categorized types. This structuring is crucial for training machine learning models with high accuracy and efficiency, as it reduces the complexity of data preparation and ensures that models are fed with high-quality, relevant data.