Clearly defining the structure and lineage of data makes it easier to trace information back to its source, understand its context, and evaluate its application, thereby fostering a transparent environment where data pathways are open and clear. Enhanced accountability comes from the ability to pinpoint the origins of data and its journey through the system, which is crucial for ensuring that data usage aligns with standards and compliance requirements. This transparency and accountability are vital for building trust and reliability in the knowledge graph, making data more meaningful and impactful for users.