Machine learning (ML) is fundamentally centered on the concept of using data to automatically learn patterns, relationships, or rules without being explicitly programmed for every task. When considering whether ML can be used to "ground on existing knowledge," one is essentially asking whether ML systems can leverage, build upon, or integrate established bodies of knowledge—such