Fig. This figure shows the structure of the detection prompt. In the detection prompt, the LLM is requested to annotate the target entity using the provided special characters. This corresponds to binary token classification. The detection prompt is subdivided into three sections -the task description, the few-shot demonstration, and the target sentence. The colour-coding is associated with Figure . Furthermore, the figure indicates the JSON format used by many OpenAI models where both role and content are defined. Depending on the intended behaviour of the LLM, messages can be conveyed through different roles. For brevity, not all few-shot demonstrations are shown. The last Assistant message represents the response of a model.