The document discusses different approaches to conceptualizing health, disease, and biological kinds across multiple levels of granularity. It notes that traditional biology data conceptualized entities based on observable instances, while new biology data represents entities at the molecular level through genetic sequences. It argues that linking different kinds of phenomena represented at various levels requires annotation with terms from controlled vocabularies like ontologies. Ontologies provide a structured framework for integrating data across databases and supporting logical reasoning by standardizing references to biological entities, processes, and functions.