除了合成数据，研究团队还提出了一种新型的提示策略，称为 ETA-P (Extract then Answer - Prompting: 提取逻辑链然后回答的提示）。与标准提示策略STD-P (Standard Prompting)不同，ETA-P 首先引导模型从输入文本中提取关系图，然后再尝试回答问题。这种方法类似于Graph版本的“Chain of Thought Prompting”，帮助模型系统分解复杂问题，先整理关键信息形成推理链条，再逐步推导出结论。
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