Triple Classification

Triple Classification refers to a task in knowledge graphs that involves determining whether a given triple (h, r, t) is correct. Its objective is to verify the authenticity of triples by analyzing the relationships between entities, thereby enhancing the data quality and completeness of the knowledge graph. This task holds significant application value in fields such as information retrieval, natural language processing, and recommendation systems, effectively supporting complex queries and reasoning tasks.