Correctness measures whether an output is factually or logically right for the task. In code, this might mean tests pass. In support, it might mean the answer matches policy. In RAG, it might mean the answer agrees with source documents and ground truth.
Correctness is context-dependent. A generic LLM judge may not know the right answer unless it receives the necessary context, reference answer, or evaluation rubric.