The validation prompt is illustrated in Figure and has the same high-level structure as the detection prompt since it is partitioned into task description, few-shot demonstration, and target sentence. The task description outlines the specific objective of resolving entities that have received multiple annotations. Therefore, a list of candidate entity type labels is provided which were found at detection time. The LLM is tasked with leveraging the provided context and the k 2 few-shot demonstrations to determine the most appropriate entity type for conflicting annotations. The few-shot demonstration section provides k 2 = 3 exemplary instances from each entity type under consideration (C val , with C val ⊆ C). This serves as a reference for the LLM to obtain demonstrations of the desired output format and domain-specific information. Chat history from the detection phase is not propagated to the validation phase.