| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/gpt-3p5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0661, 召回率: 0.0834, F1: 0.0738 | |
| BERT Score: | |
| - Precision: 0.6572 | |
| - Recall: 0.8299 | |
| - F1: 0.6880 | |
| F:/GeoLLM/output/output_result/Task1/nomal/one_shot/gpt-3p5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.1930, 召回率: 0.2188, F1: 0.2051 | |
| BERT Score: | |
| - Precision: 0.7579 | |
| - Recall: 0.8663 | |
| - F1: 0.7755 | |
| F:/GeoLLM/output/output_result/Task1/nomal/two_shot/gpt-3p5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.2203, 召回率: 0.2510, F1: 0.2346 | |
| BERT Score: | |
| - Precision: 0.7574 | |
| - Recall: 0.8720 | |
| - F1: 0.7767 | |
| F:/GeoLLM/output/output_result/Task1/nomal/three_shot/gpt-3p5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.1061, 召回率: 0.1275, F1: 0.1158 | |
| BERT Score: | |
| - Precision: 0.6904 | |
| - Recall: 0.8327 | |
| - F1: 0.7088 | |
| F:/GeoLLM/output/output_result/Task1/knn/one_shot/gpt-3p5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.2115, 召回率: 0.2438, F1: 0.2265 | |
| BERT Score: | |
| - Precision: 0.7573 | |
| - Recall: 0.8712 | |
| - F1: 0.7803 | |
| F:/GeoLLM/output/output_result/Task1/knn/two_shot/gpt-3p5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.2182, 召回率: 0.2589, F1: 0.2368 | |
| BERT Score: | |
| - Precision: 0.7407 | |
| - Recall: 0.8763 | |
| - F1: 0.7699 | |
| F:/GeoLLM/output/output_result/Task1/knn/three_shot/gpt-3p5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.2134, 召回率: 0.2576, F1: 0.2334 | |
| BERT Score: | |
| - Precision: 0.7443 | |
| - Recall: 0.8750 | |
| - F1: 0.7670 | |
| F:/GeoLLM/output/output_result/Task1/Knowledge-guided/one_shot/gpt-3p5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0697, 召回率: 0.0834, F1: 0.0759 | |
| BERT Score: | |
| - Precision: 0.6656 | |
| - Recall: 0.8230 | |
| - F1: 0.6876 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.1886, 召回率: 0.2208, F1: 0.2034 | |
| BERT Score: | |
| - Precision: 0.7485 | |
| - Recall: 0.8543 | |
| - F1: 0.7526 | |
| F:/GeoLLM/output/output_result/Task1/nomal/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.3610, 召回率: 0.3968, F1: 0.3781 | |
| BERT Score: | |
| - Precision: 0.8501 | |
| - Recall: 0.9099 | |
| - F1: 0.8592 | |
| F:/GeoLLM/output/output_result/Task1/nomal/two_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.3955, 召回率: 0.4251, F1: 0.4098 | |
| BERT Score: | |
| - Precision: 0.8668 | |
| - Recall: 0.9091 | |
| - F1: 0.8666 | |
| F:/GeoLLM/output/output_result/Task1/nomal/three_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.2683, 召回率: 0.3029, F1: 0.2846 | |
| BERT Score: | |
| - Precision: 0.7899 | |
| - Recall: 0.8687 | |
| - F1: 0.7944 | |
| F:/GeoLLM/output/output_result/Task1/knn/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.3464, 召回率: 0.3765, F1: 0.3608 | |
| BERT Score: | |
| - Precision: 0.8483 | |
| - Recall: 0.9018 | |
| - F1: 0.8524 | |
| F:/GeoLLM/output/output_result/Task1/knn/two_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.4056, 召回率: 0.4376, F1: 0.4210 | |
| BERT Score: | |
| - Precision: 0.8624 | |
| - Recall: 0.9076 | |
| - F1: 0.8639 | |
| F:/GeoLLM/output/output_result/Task1/knn/three_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.4176, 召回率: 0.4514, F1: 0.4338 | |
| BERT Score: | |
| - Precision: 0.8741 | |
| - Recall: 0.9116 | |
| - F1: 0.8735 | |
| F:/GeoLLM/output/output_result/Task1/Knowledge-guided/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.1836, 召回率: 0.2050, F1: 0.1937 | |
| BERT Score: | |
| - Precision: 0.7454 | |
| - Recall: 0.8488 | |
| - F1: 0.7533 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/gemini-1p5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.1582, 召回率: 0.2490, F1: 0.1935 | |
| BERT Score: | |
| - Precision: 0.6071 | |
| - Recall: 0.8016 | |
| - F1: 0.5745 | |
| F:/GeoLLM/output/output_result/Task1/nomal/one_shot/gemini-1p5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.3194, 召回率: 0.4310, F1: 0.3669 | |
| BERT Score: | |
| - Precision: 0.7712 | |
| - Recall: 0.9212 | |
| - F1: 0.8070 | |
| F:/GeoLLM/output/output_result/Task1/nomal/two_shot/gemini-1p5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.3390, 召回率: 0.4428, F1: 0.3840 | |
| BERT Score: | |
| - Precision: 0.7869 | |
| - Recall: 0.9324 | |
| - F1: 0.8267 | |
| F:/GeoLLM/output/output_result/Task1/nomal/three_shot/gemini-1p5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.2302, 召回率: 0.3338, F1: 0.2725 | |
| BERT Score: | |
| - Precision: 0.6866 | |
| - Recall: 0.8960 | |
| - F1: 0.7329 | |
| F:/GeoLLM/output/output_result/Task1/knn/one_shot/gemini-1p5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.3261, 召回率: 0.4369, F1: 0.3735 | |
| BERT Score: | |
| - Precision: 0.7701 | |
| - Recall: 0.9208 | |
| - F1: 0.8066 | |
| F:/GeoLLM/output/output_result/Task1/knn/two_shot/gemini-1p5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.3396, 召回率: 0.4494, F1: 0.3869 | |
| BERT Score: | |
| - Precision: 0.7849 | |
| - Recall: 0.9351 | |
| - F1: 0.8264 | |
| F:/GeoLLM/output/output_result/Task1/knn/three_shot/gemini-1p5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.3861, 召回率: 0.4869, F1: 0.4307 | |
| BERT Score: | |
| - Precision: 0.8048 | |
| - Recall: 0.9370 | |
| - F1: 0.8417 | |
| F:/GeoLLM/output/output_result/Task1/Knowledge-guided/one_shot/gemini-1p5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.1421, 召回率: 0.2352, F1: 0.1772 | |
| BERT Score: | |
| - Precision: 0.5490 | |
| - Recall: 0.8373 | |
| - F1: 0.5754 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.1769, 召回率: 0.2148, F1: 0.1941 | |
| BERT Score: | |
| - Precision: 0.6846 | |
| - Recall: 0.8621 | |
| - F1: 0.7209 | |
| F:/GeoLLM/output/output_result/Task1/nomal/one_shot/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.3382, 召回率: 0.3844, F1: 0.3598 | |
| BERT Score: | |
| - Precision: 0.8116 | |
| - Recall: 0.9018 | |
| - F1: 0.8262 | |
| F:/GeoLLM/output/output_result/Task1/nomal/two_shot/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.1967, 召回率: 0.2438, F1: 0.2177 | |
| BERT Score: | |
| - Precision: 0.6939 | |
| - Recall: 0.8479 | |
| - F1: 0.7021 | |
| F:/GeoLLM/output/output_result/Task1/nomal/three_shot/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.2238, 召回率: 0.2641, F1: 0.2423 | |
| BERT Score: | |
| - Precision: 0.7278 | |
| - Recall: 0.8190 | |
| - F1: 0.6915 | |
| F:/GeoLLM/output/output_result/Task1/knn/one_shot/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.3339, 召回率: 0.3745, F1: 0.3531 | |
| BERT Score: | |
| - Precision: 0.8254 | |
| - Recall: 0.8996 | |
| - F1: 0.8338 | |
| F:/GeoLLM/output/output_result/Task1/knn/two_shot/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.3699, 召回率: 0.4166, F1: 0.3918 | |
| BERT Score: | |
| - Precision: 0.8276 | |
| - Recall: 0.9025 | |
| - F1: 0.8294 | |
| F:/GeoLLM/output/output_result/Task1/knn/three_shot/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.4141, 召回率: 0.4501, F1: 0.4314 | |
| BERT Score: | |
| - Precision: 0.8479 | |
| - Recall: 0.8966 | |
| - F1: 0.8341 | |
| F:/GeoLLM/output/output_result/Task1/Knowledge-guided/one_shot/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.1486, 召回率: 0.1958, F1: 0.1690 | |
| BERT Score: | |
| - Precision: 0.6336 | |
| - Recall: 0.8582 | |
| - F1: 0.6836 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2412, 召回率: 0.2792, F1: 0.2588 | |
| BERT Score: | |
| - Precision: 0.7486 | |
| - Recall: 0.8745 | |
| - F1: 0.7717 | |
| F:/GeoLLM/output/output_result/Task1/nomal/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2245, 召回率: 0.2569, F1: 0.2396 | |
| BERT Score: | |
| - Precision: 0.7556 | |
| - Recall: 0.8760 | |
| - F1: 0.7768 | |
| F:/GeoLLM/output/output_result/Task1/nomal/two_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2371, 召回率: 0.2707, F1: 0.2528 | |
| BERT Score: | |
| - Precision: 0.7720 | |
| - Recall: 0.8848 | |
| - F1: 0.7944 | |
| F:/GeoLLM/output/output_result/Task1/nomal/three_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2431, 召回率: 0.2852, F1: 0.2625 | |
| BERT Score: | |
| - Precision: 0.7612 | |
| - Recall: 0.8815 | |
| - F1: 0.7845 | |
| F:/GeoLLM/output/output_result/Task1/knn/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.3854, 召回率: 0.4244, F1: 0.4040 | |
| BERT Score: | |
| - Precision: 0.8434 | |
| - Recall: 0.9120 | |
| - F1: 0.8554 | |
| F:/GeoLLM/output/output_result/Task1/knn/two_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.4002, 召回率: 0.4376, F1: 0.4181 | |
| BERT Score: | |
| - Precision: 0.8593 | |
| - Recall: 0.9167 | |
| - F1: 0.8671 | |
| F:/GeoLLM/output/output_result/Task1/knn/three_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.4372, 召回率: 0.4823, F1: 0.4586 | |
| BERT Score: | |
| - Precision: 0.8617 | |
| - Recall: 0.9193 | |
| - F1: 0.8669 | |
| F:/GeoLLM/output/output_result/Task1/Knowledge-guided/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2007, 召回率: 0.2332, F1: 0.2157 | |
| BERT Score: | |
| - Precision: 0.7208 | |
| - Recall: 0.8353 | |
| - F1: 0.7136 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/deepseek-ai/DeepSeek-R1.json: | |
| Triple Match: | |
| 精确率: 0.1789, 召回率: 0.2556, F1: 0.2104 | |
| BERT Score: | |
| - Precision: 0.6563 | |
| - Recall: 0.8950 | |
| - F1: 0.7201 | |
| F:/GeoLLM/output/output_result/Task1/nomal/one_shot/deepseek-ai/DeepSeek-R1.json: | |
| Triple Match: | |
| 精确率: 0.1950, 召回率: 0.2628, F1: 0.2239 | |
| BERT Score: | |
| - Precision: 0.6971 | |
| - Recall: 0.8963 | |
| - F1: 0.7505 | |
| F:/GeoLLM/output/output_result/Task1/nomal/two_shot/deepseek-ai/DeepSeek-R1.json: | |
| Triple Match: | |
| 精确率: 0.2103, 召回率: 0.2681, F1: 0.2357 | |
| BERT Score: | |
| - Precision: 0.7241 | |
| - Recall: 0.8879 | |
| - F1: 0.7629 | |
| F:/GeoLLM/output/output_result/Task1/nomal/three_shot/deepseek-ai/DeepSeek-R1.json: | |
| Triple Match: | |
| 精确率: 0.2206, 召回率: 0.2786, F1: 0.2462 | |
| BERT Score: | |
| - Precision: 0.7310 | |
| - Recall: 0.8962 | |
| - F1: 0.7709 | |
| F:/GeoLLM/output/output_result/Task1/knn/one_shot/deepseek-ai/DeepSeek-R1.json: | |
| Triple Match: | |
| 精确率: 0.3576, 召回率: 0.4133, F1: 0.3834 | |
| BERT Score: | |
| - Precision: 0.8340 | |
| - Recall: 0.9185 | |
| - F1: 0.8534 | |
| F:/GeoLLM/output/output_result/Task1/knn/two_shot/deepseek-ai/DeepSeek-R1.json: | |
| Triple Match: | |
| 精确率: 0.3911, 召回率: 0.4422, F1: 0.4150 | |
| BERT Score: | |
| - Precision: 0.8438 | |
| - Recall: 0.9203 | |
| - F1: 0.8591 | |
| F:/GeoLLM/output/output_result/Task1/knn/three_shot/deepseek-ai/DeepSeek-R1.json: | |
| Triple Match: | |
| 精确率: 0.3889, 召回率: 0.4356, F1: 0.4109 | |
| BERT Score: | |
| - Precision: 0.8524 | |
| - Recall: 0.9154 | |
| - F1: 0.8602 | |
| F:/GeoLLM/output/output_result/Task1/Knowledge-guided/one_shot/deepseek-ai/DeepSeek-R1.json: | |
| Triple Match: | |
| 精确率: 0.1636, 召回率: 0.2411, F1: 0.1950 | |
| BERT Score: | |
| - Precision: 0.6327 | |
| - Recall: 0.8946 | |
| - F1: 0.6984 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/meta-llama/Meta-Llama-3p1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1658, 召回率: 0.2196, F1: 0.1889 | |
| BERT Score: | |
| - Precision: 0.6343 | |
| - Recall: 0.8751 | |
| - F1: 0.6903 | |
| F:/GeoLLM/output/output_result/Task1/nomal/one_shot/meta-llama/Meta-Llama-3p1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1680, 召回率: 0.2181, F1: 0.1898 | |
| BERT Score: | |
| - Precision: 0.6558 | |
| - Recall: 0.8717 | |
| - F1: 0.7030 | |
| F:/GeoLLM/output/output_result/Task1/nomal/two_shot/meta-llama/Meta-Llama-3p1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.2117, 召回率: 0.2602, F1: 0.2334 | |
| BERT Score: | |
| - Precision: 0.7043 | |
| - Recall: 0.8718 | |
| - F1: 0.7373 | |
| F:/GeoLLM/output/output_result/Task1/nomal/three_shot/meta-llama/Meta-Llama-3p1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.2331, 召回率: 0.2884, F1: 0.2579 | |
| BERT Score: | |
| - Precision: 0.7111 | |
| - Recall: 0.8849 | |
| - F1: 0.7502 | |
| F:/GeoLLM/output/output_result/Task1/knn/one_shot/meta-llama/Meta-Llama-3p1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.3340, 召回率: 0.4126, F1: 0.3692 | |
| BERT Score: | |
| - Precision: 0.7722 | |
| - Recall: 0.9186 | |
| - F1: 0.8084 | |
| F:/GeoLLM/output/output_result/Task1/knn/two_shot/meta-llama/Meta-Llama-3p1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.3668, 召回率: 0.4297, F1: 0.3958 | |
| BERT Score: | |
| - Precision: 0.8028 | |
| - Recall: 0.9187 | |
| - F1: 0.8300 | |
| F:/GeoLLM/output/output_result/Task1/knn/three_shot/meta-llama/Meta-Llama-3p1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.4063, 召回率: 0.4671, F1: 0.4346 | |
| BERT Score: | |
| - Precision: 0.8284 | |
| - Recall: 0.9252 | |
| - F1: 0.8523 | |
| F:/GeoLLM/output/output_result/Task1/Knowledge-guided/one_shot/meta-llama/Meta-Llama-3p1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1392, 召回率: 0.1945, F1: 0.1623 | |
| BERT Score: | |
| - Precision: 0.6009 | |
| - Recall: 0.8681 | |
| - F1: 0.6615 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/Qwen/Qwen2p5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1509, 召回率: 0.1886, F1: 0.1676 | |
| BERT Score: | |
| - Precision: 0.6737 | |
| - Recall: 0.8676 | |
| - F1: 0.7118 | |
| F:/GeoLLM/output/output_result/Task1/nomal/one_shot/Qwen/Qwen2p5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1823, 召回率: 0.2194, F1: 0.1992 | |
| BERT Score: | |
| - Precision: 0.7200 | |
| - Recall: 0.8758 | |
| - F1: 0.7508 | |
| F:/GeoLLM/output/output_result/Task1/nomal/two_shot/Qwen/Qwen2p5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.2145, 召回率: 0.2510, F1: 0.2313 | |
| BERT Score: | |
| - Precision: 0.7431 | |
| - Recall: 0.8781 | |
| - F1: 0.7696 | |
| F:/GeoLLM/output/output_result/Task1/nomal/three_shot/Qwen/Qwen2p5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1974, 召回率: 0.2221, F1: 0.2090 | |
| BERT Score: | |
| - Precision: 0.7576 | |
| - Recall: 0.8612 | |
| - F1: 0.7652 | |
| F:/GeoLLM/output/output_result/Task1/knn/one_shot/Qwen/Qwen2p5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.3213, 召回率: 0.3699, F1: 0.3439 | |
| BERT Score: | |
| - Precision: 0.8121 | |
| - Recall: 0.8985 | |
| - F1: 0.8252 | |
| F:/GeoLLM/output/output_result/Task1/knn/two_shot/Qwen/Qwen2p5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.3339, 召回率: 0.3791, F1: 0.3551 | |
| BERT Score: | |
| - Precision: 0.8259 | |
| - Recall: 0.9109 | |
| - F1: 0.8412 | |
| F:/GeoLLM/output/output_result/Task1/knn/three_shot/Qwen/Qwen2p5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.3434, 召回率: 0.3962, F1: 0.3679 | |
| BERT Score: | |
| - Precision: 0.8269 | |
| - Recall: 0.9120 | |
| - F1: 0.8418 | |
| F:/GeoLLM/output/output_result/Task1/Knowledge-guided/one_shot/Qwen/Qwen2p5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1376, 召回率: 0.1754, F1: 0.1542 | |
| BERT Score: | |
| - Precision: 0.6612 | |
| - Recall: 0.8565 | |
| - F1: 0.6937 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0854, 召回率: 0.1064, F1: 0.0947 | |
| BERT Score: | |
| - Precision: 0.6277 | |
| - Recall: 0.8255 | |
| - F1: 0.6628 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.1865, 召回率: 0.2050, F1: 0.1953 | |
| BERT Score: | |
| - Precision: 0.7593 | |
| - Recall: 0.8565 | |
| - F1: 0.7683 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0854, 召回率: 0.1064, F1: 0.0947 | |
| BERT Score: | |
| - Precision: 0.6277 | |
| - Recall: 0.8255 | |
| - F1: 0.6628 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.1865, 召回率: 0.2050, F1: 0.1953 | |
| BERT Score: | |
| - Precision: 0.7593 | |
| - Recall: 0.8565 | |
| - F1: 0.7683 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0854, 召回率: 0.1064, F1: 0.0947 | |
| BERT Score: | |
| - Precision: 0.6277 | |
| - Recall: 0.8255 | |
| - F1: 0.6628 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.1865, 召回率: 0.2050, F1: 0.1953 | |
| BERT Score: | |
| - Precision: 0.7593 | |
| - Recall: 0.8565 | |
| - F1: 0.7683 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.1816, 召回率: 0.2332, F1: 0.2042 | |
| BERT Score: | |
| - Precision: 0.6556 | |
| - Recall: 0.8752 | |
| - F1: 0.7035 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0854, 召回率: 0.1064, F1: 0.0947 | |
| BERT Score: | |
| - Precision: 0.6277 | |
| - Recall: 0.8255 | |
| - F1: 0.6628 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.1865, 召回率: 0.2050, F1: 0.1953 | |
| BERT Score: | |
| - Precision: 0.7593 | |
| - Recall: 0.8565 | |
| - F1: 0.7683 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0854, 召回率: 0.1064, F1: 0.0947 | |
| BERT Score: | |
| - Precision: 0.6277 | |
| - Recall: 0.8255 | |
| - F1: 0.6628 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.1865, 召回率: 0.2050, F1: 0.1953 | |
| BERT Score: | |
| - Precision: 0.7593 | |
| - Recall: 0.8565 | |
| - F1: 0.7683 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gemini-1.5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.1457, 召回率: 0.2365, F1: 0.1804 | |
| BERT Score: | |
| - Precision: 0.5487 | |
| - Recall: 0.8703 | |
| - F1: 0.6166 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.1816, 召回率: 0.2332, F1: 0.2042 | |
| BERT Score: | |
| - Precision: 0.6556 | |
| - Recall: 0.8752 | |
| - F1: 0.7035 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0897, 召回率: 0.1189, F1: 0.1023 | |
| BERT Score: | |
| - Precision: 0.6092 | |
| - Recall: 0.8380 | |
| - F1: 0.6564 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.1950, 召回率: 0.2530, F1: 0.2203 | |
| BERT Score: | |
| - Precision: 0.6631 | |
| - Recall: 0.8817 | |
| - F1: 0.7147 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0803, 召回率: 0.1104, F1: 0.0930 | |
| BERT Score: | |
| - Precision: 0.6054 | |
| - Recall: 0.8461 | |
| - F1: 0.6564 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0972, 召回率: 0.1261, F1: 0.1098 | |
| BERT Score: | |
| - Precision: 0.5982 | |
| - Recall: 0.8324 | |
| - F1: 0.6441 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0883, 召回率: 0.1078, F1: 0.0971 | |
| BERT Score: | |
| - Precision: 0.6424 | |
| - Recall: 0.8363 | |
| - F1: 0.6804 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0911, 召回率: 0.1124, F1: 0.1006 | |
| BERT Score: | |
| - Precision: 0.6166 | |
| - Recall: 0.8276 | |
| - F1: 0.6575 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.1869, 召回率: 0.2385, F1: 0.2096 | |
| BERT Score: | |
| - Precision: 0.6602 | |
| - Recall: 0.8822 | |
| - F1: 0.7137 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0774, 召回率: 0.0867, F1: 0.0818 | |
| BERT Score: | |
| - Precision: 0.6669 | |
| - Recall: 0.8151 | |
| - F1: 0.6866 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0774, 召回率: 0.0867, F1: 0.0818 | |
| BERT Score: | |
| - Precision: 0.6669 | |
| - Recall: 0.8151 | |
| - F1: 0.6866 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo_0407.json: | |
| Triple Match: | |
| 精确率: 0.0911, 召回率: 0.1124, F1: 0.1006 | |
| BERT Score: | |
| - Precision: 0.6166 | |
| - Recall: 0.8276 | |
| - F1: 0.6575 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2110, 召回率: 0.2622, F1: 0.2338 | |
| BERT Score: | |
| - Precision: 0.6775 | |
| - Recall: 0.8750 | |
| - F1: 0.7180 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.1008, 召回率: 0.1321, F1: 0.1143 | |
| BERT Score: | |
| - Precision: 0.6100 | |
| - Recall: 0.8424 | |
| - F1: 0.6610 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo_0407.json: | |
| Triple Match: | |
| 精确率: 0.0911, 召回率: 0.1124, F1: 0.1006 | |
| BERT Score: | |
| - Precision: 0.6166 | |
| - Recall: 0.8276 | |
| - F1: 0.6575 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo_old.json: | |
| Triple Match: | |
| 精确率: 0.0854, 召回率: 0.1064, F1: 0.0947 | |
| BERT Score: | |
| - Precision: 0.6277 | |
| - Recall: 0.8255 | |
| - F1: 0.6628 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0661, 召回率: 0.0834, F1: 0.0738 | |
| BERT Score: | |
| - Precision: 0.6572 | |
| - Recall: 0.8299 | |
| - F1: 0.6880 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2412, 召回率: 0.2792, F1: 0.2588 | |
| BERT Score: | |
| - Precision: 0.7486 | |
| - Recall: 0.8745 | |
| - F1: 0.7717 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.1008, 召回率: 0.1321, F1: 0.1143 | |
| BERT Score: | |
| - Precision: 0.6100 | |
| - Recall: 0.8424 | |
| - F1: 0.6610 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2110, 召回率: 0.2622, F1: 0.2338 | |
| BERT Score: | |
| - Precision: 0.6775 | |
| - Recall: 0.8750 | |
| - F1: 0.7180 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0661, 召回率: 0.0834, F1: 0.0738 | |
| BERT Score: | |
| - Precision: 0.6572 | |
| - Recall: 0.8299 | |
| - F1: 0.6880 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/old/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2167, 召回率: 0.2477, F1: 0.2311 | |
| BERT Score: | |
| - Precision: 0.7468 | |
| - Recall: 0.8548 | |
| - F1: 0.7492 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.1008, 召回率: 0.1321, F1: 0.1143 | |
| BERT Score: | |
| - Precision: 0.6100 | |
| - Recall: 0.8424 | |
| - F1: 0.6610 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2110, 召回率: 0.2622, F1: 0.2338 | |
| BERT Score: | |
| - Precision: 0.6775 | |
| - Recall: 0.8750 | |
| - F1: 0.7180 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.1886, 召回率: 0.2208, F1: 0.2034 | |
| BERT Score: | |
| - Precision: 0.7485 | |
| - Recall: 0.8543 | |
| - F1: 0.7526 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.2477, 召回率: 0.2523, F1: 0.2500 | |
| BERT Score: | |
| - Precision: 0.8040 | |
| - Recall: 0.8391 | |
| - F1: 0.7838 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/old/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0392, 召回率: 0.0480, F1: 0.0432 | |
| BERT Score: | |
| - Precision: 0.6440 | |
| - Recall: 0.8230 | |
| - F1: 0.6795 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/old/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.1708, 召回率: 0.2004, F1: 0.1844 | |
| BERT Score: | |
| - Precision: 0.7403 | |
| - Recall: 0.8469 | |
| - F1: 0.7416 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/old/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2167, 召回率: 0.2477, F1: 0.2311 | |
| BERT Score: | |
| - Precision: 0.7468 | |
| - Recall: 0.8548 | |
| - F1: 0.7492 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.1008, 召回率: 0.1321, F1: 0.1143 | |
| BERT Score: | |
| - Precision: 0.6100 | |
| - Recall: 0.8424 | |
| - F1: 0.6610 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.2477, 召回率: 0.2523, F1: 0.2500 | |
| BERT Score: | |
| - Precision: 0.8040 | |
| - Recall: 0.8391 | |
| - F1: 0.7838 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2110, 召回率: 0.2622, F1: 0.2338 | |
| BERT Score: | |
| - Precision: 0.6775 | |
| - Recall: 0.8750 | |
| - F1: 0.7180 | |
| F:/GeoLLM/output/output_result/Task1/nomal/zero_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2412, 召回率: 0.2792, F1: 0.2588 | |
| BERT Score: | |
| - Precision: 0.7486 | |
| - Recall: 0.8745 | |
| - F1: 0.7717 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.1008, 召回率: 0.1321, F1: 0.1143 | |
| BERT Score: | |
| - Precision: 0.6100 | |
| - Recall: 0.8424 | |
| - F1: 0.6610 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.2477, 召回率: 0.2523, F1: 0.2500 | |
| BERT Score: | |
| - Precision: 0.8040 | |
| - Recall: 0.8391 | |
| - F1: 0.7838 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2110, 召回率: 0.2622, F1: 0.2338 | |
| BERT Score: | |
| - Precision: 0.6775 | |
| - Recall: 0.8750 | |
| - F1: 0.7180 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0915, 召回率: 0.1183, F1: 0.1032 | |
| BERT Score: | |
| - Precision: 0.6219 | |
| - Recall: 0.8321 | |
| - F1: 0.6612 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.2088, 召回率: 0.2313, F1: 0.2195 | |
| BERT Score: | |
| - Precision: 0.7561 | |
| - Recall: 0.8614 | |
| - F1: 0.7674 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0915, 召回率: 0.1183, F1: 0.1032 | |
| BERT Score: | |
| - Precision: 0.6219 | |
| - Recall: 0.8321 | |
| - F1: 0.6612 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.2088, 召回率: 0.2313, F1: 0.2195 | |
| BERT Score: | |
| - Precision: 0.7561 | |
| - Recall: 0.8614 | |
| - F1: 0.7674 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/Qwen/Qwen2.5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1764, 召回率: 0.1958, F1: 0.1856 | |
| BERT Score: | |
| - Precision: 0.7228 | |
| - Recall: 0.8386 | |
| - F1: 0.7236 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0915, 召回率: 0.1183, F1: 0.1032 | |
| BERT Score: | |
| - Precision: 0.6219 | |
| - Recall: 0.8321 | |
| - F1: 0.6612 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.2088, 召回率: 0.2313, F1: 0.2195 | |
| BERT Score: | |
| - Precision: 0.7561 | |
| - Recall: 0.8614 | |
| - F1: 0.7674 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gemini-1.5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.1795, 召回率: 0.2576, F1: 0.2115 | |
| BERT Score: | |
| - Precision: 0.5958 | |
| - Recall: 0.8605 | |
| - F1: 0.6324 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/Qwen/Qwen2.5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1764, 召回率: 0.1958, F1: 0.1856 | |
| BERT Score: | |
| - Precision: 0.7228 | |
| - Recall: 0.8386 | |
| - F1: 0.7236 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.1947, 召回率: 0.2135, F1: 0.2037 | |
| BERT Score: | |
| - Precision: 0.7252 | |
| - Recall: 0.8467 | |
| - F1: 0.7364 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/meta-llama/Meta-Llama-3.1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1880, 召回率: 0.2464, F1: 0.2132 | |
| BERT Score: | |
| - Precision: 0.6610 | |
| - Recall: 0.8657 | |
| - F1: 0.6977 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2156, 召回率: 0.2582, F1: 0.2350 | |
| BERT Score: | |
| - Precision: 0.7143 | |
| - Recall: 0.8759 | |
| - F1: 0.7443 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/meta-llama/Meta-Llama-3.1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1880, 召回率: 0.2464, F1: 0.2132 | |
| BERT Score: | |
| - Precision: 0.6610 | |
| - Recall: 0.8657 | |
| - F1: 0.6977 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2508, 召回率: 0.2733, F1: 0.2616 | |
| BERT Score: | |
| - Precision: 0.7737 | |
| - Recall: 0.8686 | |
| - F1: 0.7863 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2078, 召回率: 0.2267, F1: 0.2168 | |
| BERT Score: | |
| - Precision: 0.7335 | |
| - Recall: 0.8506 | |
| - F1: 0.7447 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.2531, 召回率: 0.2392, F1: 0.2459 | |
| BERT Score: | |
| - Precision: 0.8413 | |
| - Recall: 0.8209 | |
| - F1: 0.7944 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2078, 召回率: 0.2267, F1: 0.2168 | |
| BERT Score: | |
| - Precision: 0.7335 | |
| - Recall: 0.8506 | |
| - F1: 0.7447 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.1579, 召回率: 0.1616, F1: 0.1597 | |
| BERT Score: | |
| - Precision: 0.7075 | |
| - Recall: 0.7944 | |
| - F1: 0.6799 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.2531, 召回率: 0.2392, F1: 0.2459 | |
| BERT Score: | |
| - Precision: 0.8413 | |
| - Recall: 0.8209 | |
| - F1: 0.7944 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gemini-1.5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.1952, 召回率: 0.2037, F1: 0.1994 | |
| BERT Score: | |
| - Precision: 0.7331 | |
| - Recall: 0.8076 | |
| - F1: 0.6983 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.1913, 召回率: 0.2017, F1: 0.1964 | |
| BERT Score: | |
| - Precision: 0.7438 | |
| - Recall: 0.8325 | |
| - F1: 0.7387 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2078, 召回率: 0.2267, F1: 0.2168 | |
| BERT Score: | |
| - Precision: 0.7335 | |
| - Recall: 0.8506 | |
| - F1: 0.7447 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/Qwen/Qwen2.5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1652, 召回率: 0.1649, F1: 0.1651 | |
| BERT Score: | |
| - Precision: 0.7611 | |
| - Recall: 0.8210 | |
| - F1: 0.7411 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/meta-llama/Meta-Llama-3.1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1855, 召回率: 0.1971, F1: 0.1911 | |
| BERT Score: | |
| - Precision: 0.7315 | |
| - Recall: 0.8317 | |
| - F1: 0.7301 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3_0420.json: | |
| Triple Match: | |
| 精确率: 0.2110, 召回率: 0.2622, F1: 0.2338 | |
| BERT Score: | |
| - Precision: 0.6775 | |
| - Recall: 0.8750 | |
| - F1: 0.7180 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3_0421.json: | |
| Triple Match: | |
| 精确率: 0.2156, 召回率: 0.2582, F1: 0.2350 | |
| BERT Score: | |
| - Precision: 0.7143 | |
| - Recall: 0.8759 | |
| - F1: 0.7443 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o_knowledge.json: | |
| Triple Match: | |
| 精确率: 0.2088, 召回率: 0.2313, F1: 0.2195 | |
| BERT Score: | |
| - Precision: 0.7561 | |
| - Recall: 0.8614 | |
| - F1: 0.7674 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0963, 召回率: 0.1242, F1: 0.1085 | |
| BERT Score: | |
| - Precision: 0.6370 | |
| - Recall: 0.8426 | |
| - F1: 0.6786 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.0963, 召回率: 0.1242, F1: 0.1085 | |
| BERT Score: | |
| - Precision: 0.6370 | |
| - Recall: 0.8426 | |
| - F1: 0.6786 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.2133, 召回率: 0.2451, F1: 0.2281 | |
| BERT Score: | |
| - Precision: 0.7142 | |
| - Recall: 0.8510 | |
| - F1: 0.7299 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/gemini-1.5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.1548, 召回率: 0.2280, F1: 0.1844 | |
| BERT Score: | |
| - Precision: 0.5858 | |
| - Recall: 0.8309 | |
| - F1: 0.6021 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.1725, 召回率: 0.1965, F1: 0.1837 | |
| BERT Score: | |
| - Precision: 0.6876 | |
| - Recall: 0.8331 | |
| - F1: 0.7072 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2314, 召回率: 0.2661, F1: 0.2476 | |
| BERT Score: | |
| - Precision: 0.7174 | |
| - Recall: 0.8141 | |
| - F1: 0.6847 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/meta-llama/Meta-Llama-3.1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1477, 召回率: 0.2096, F1: 0.1733 | |
| BERT Score: | |
| - Precision: 0.5923 | |
| - Recall: 0.8700 | |
| - F1: 0.6548 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/Qwen/Qwen2.5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1566, 召回率: 0.1846, F1: 0.1695 | |
| BERT Score: | |
| - Precision: 0.6896 | |
| - Recall: 0.8407 | |
| - F1: 0.7020 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/gpt-3.5-turbo_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.1059, 召回率: 0.1117, F1: 0.1087 | |
| BERT Score: | |
| - Precision: 0.6996 | |
| - Recall: 0.7882 | |
| - F1: 0.6752 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/gpt-4o_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2548, 召回率: 0.2503, F1: 0.2526 | |
| BERT Score: | |
| - Precision: 0.8144 | |
| - Recall: 0.8364 | |
| - F1: 0.7853 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/gemini-1.5-pro-002_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.1899, 召回率: 0.2549, F1: 0.2177 | |
| BERT Score: | |
| - Precision: 0.6432 | |
| - Recall: 0.8401 | |
| - F1: 0.6515 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/claude-3-5-haiku-20241022_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.1953, 召回率: 0.2181, F1: 0.2061 | |
| BERT Score: | |
| - Precision: 0.6993 | |
| - Recall: 0.8323 | |
| - F1: 0.7127 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/deepseek-ai/DeepSeek-V3_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2845, 召回率: 0.2996, F1: 0.2918 | |
| BERT Score: | |
| - Precision: 0.7700 | |
| - Recall: 0.8256 | |
| - F1: 0.7364 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/meta-llama/Meta-Llama-3.1-405B-Instruct_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2087, 召回率: 0.2293, F1: 0.2185 | |
| BERT Score: | |
| - Precision: 0.7350 | |
| - Recall: 0.8421 | |
| - F1: 0.7374 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/Qwen/Qwen2.5-72B-Instruct_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.1929, 召回率: 0.2011, F1: 0.1969 | |
| BERT Score: | |
| - Precision: 0.7623 | |
| - Recall: 0.8327 | |
| - F1: 0.7481 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_choice/deepseek-ai/DeepSeek-V3_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2808, 召回率: 0.3009, F1: 0.2905 | |
| BERT Score: | |
| - Precision: 0.7793 | |
| - Recall: 0.8269 | |
| - F1: 0.7408 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_choice/deepseek-ai/DeepSeek-V3_guide.json: | |
| Triple Match: | |
| 精确率: 0.2191, 召回率: 0.2562, F1: 0.2362 | |
| BERT Score: | |
| - Precision: 0.7138 | |
| - Recall: 0.8409 | |
| - F1: 0.7103 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/deepseek-ai/DeepSeek-R1.json: | |
| Triple Match: | |
| 精确率: 0.1939, 召回率: 0.2845, F1: 0.2306 | |
| BERT Score: | |
| - Precision: 0.6166 | |
| - Recall: 0.8953 | |
| - F1: 0.6824 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal/deepseek-ai/DeepSeek-R1_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2547, 召回率: 0.3233, F1: 0.2849 | |
| BERT Score: | |
| - Precision: 0.7048 | |
| - Recall: 0.8891 | |
| - F1: 0.7405 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gpt-3.5-turbo_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.1081, 召回率: 0.1117, F1: 0.1099 | |
| BERT Score: | |
| - Precision: 0.7172 | |
| - Recall: 0.7529 | |
| - F1: 0.6528 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gpt-4o_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2971, 召回率: 0.2444, F1: 0.2682 | |
| BERT Score: | |
| - Precision: 0.8766 | |
| - Recall: 0.7751 | |
| - F1: 0.7691 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gemini-1.5-pro-002_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2953, 召回率: 0.3489, F1: 0.3199 | |
| BERT Score: | |
| - Precision: 0.7310 | |
| - Recall: 0.8277 | |
| - F1: 0.6931 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/claude-3-5-haiku-20241022_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2339, 召回率: 0.2436, F1: 0.2387 | |
| BERT Score: | |
| - Precision: 0.7454 | |
| - Recall: 0.8332 | |
| - F1: 0.7411 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/deepseek-ai/DeepSeek-V3_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2908, 召回率: 0.2963, F1: 0.2935 | |
| BERT Score: | |
| - Precision: 0.8031 | |
| - Recall: 0.8425 | |
| - F1: 0.7768 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/meta-llama/Meta-Llama-3.1-405B-Instruct_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2341, 召回率: 0.2470, F1: 0.2404 | |
| BERT Score: | |
| - Precision: 0.7700 | |
| - Recall: 0.8487 | |
| - F1: 0.7676 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/Qwen/Qwen2.5-72B-Instruct_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2176, 召回率: 0.2240, F1: 0.2208 | |
| BERT Score: | |
| - Precision: 0.7709 | |
| - Recall: 0.8353 | |
| - F1: 0.7581 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gpt-3.5-turbo_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.1081, 召回率: 0.1117, F1: 0.1099 | |
| BERT Score: | |
| - Precision: 0.7172 | |
| - Recall: 0.7529 | |
| - F1: 0.6528 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gpt-4o_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2971, 召回率: 0.2444, F1: 0.2682 | |
| BERT Score: | |
| - Precision: 0.8766 | |
| - Recall: 0.7751 | |
| - F1: 0.7691 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gemini-1.5-pro-002_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2953, 召回率: 0.3489, F1: 0.3199 | |
| BERT Score: | |
| - Precision: 0.7310 | |
| - Recall: 0.8277 | |
| - F1: 0.6931 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/claude-3-5-haiku-20241022_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2339, 召回率: 0.2436, F1: 0.2387 | |
| BERT Score: | |
| - Precision: 0.7454 | |
| - Recall: 0.8332 | |
| - F1: 0.7411 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/deepseek-ai/DeepSeek-V3_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2908, 召回率: 0.2963, F1: 0.2935 | |
| BERT Score: | |
| - Precision: 0.8031 | |
| - Recall: 0.8425 | |
| - F1: 0.7768 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/meta-llama/Meta-Llama-3.1-405B-Instruct_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2341, 召回率: 0.2470, F1: 0.2404 | |
| BERT Score: | |
| - Precision: 0.7700 | |
| - Recall: 0.8487 | |
| - F1: 0.7676 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/Qwen/Qwen2.5-72B-Instruct_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2176, 召回率: 0.2240, F1: 0.2208 | |
| BERT Score: | |
| - Precision: 0.7709 | |
| - Recall: 0.8353 | |
| - F1: 0.7581 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.1016, 召回率: 0.1294, F1: 0.1138 | |
| BERT Score: | |
| - Precision: 0.6323 | |
| - Recall: 0.8392 | |
| - F1: 0.6721 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.2253, 召回率: 0.2365, F1: 0.2308 | |
| BERT Score: | |
| - Precision: 0.7883 | |
| - Recall: 0.8503 | |
| - F1: 0.7810 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gemini-1.5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.1626, 召回率: 0.2267, F1: 0.1894 | |
| BERT Score: | |
| - Precision: 0.6117 | |
| - Recall: 0.7841 | |
| - F1: 0.5770 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.1853, 召回率: 0.2214, F1: 0.2017 | |
| BERT Score: | |
| - Precision: 0.6501 | |
| - Recall: 0.8473 | |
| - F1: 0.6889 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2339, 召回率: 0.2760, F1: 0.2532 | |
| BERT Score: | |
| - Precision: 0.7120 | |
| - Recall: 0.8565 | |
| - F1: 0.7217 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gpt-3.5-turbo_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.1081, 召回率: 0.1117, F1: 0.1099 | |
| BERT Score: | |
| - Precision: 0.7172 | |
| - Recall: 0.7529 | |
| - F1: 0.6528 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gpt-4o_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2971, 召回率: 0.2444, F1: 0.2682 | |
| BERT Score: | |
| - Precision: 0.8766 | |
| - Recall: 0.7751 | |
| - F1: 0.7691 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gemini-1.5-pro-002_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2953, 召回率: 0.3489, F1: 0.3199 | |
| BERT Score: | |
| - Precision: 0.7310 | |
| - Recall: 0.8277 | |
| - F1: 0.6931 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/claude-3-5-haiku-20241022_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2339, 召回率: 0.2436, F1: 0.2387 | |
| BERT Score: | |
| - Precision: 0.7454 | |
| - Recall: 0.8332 | |
| - F1: 0.7411 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/deepseek-ai/DeepSeek-V3_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2908, 召回率: 0.2963, F1: 0.2935 | |
| BERT Score: | |
| - Precision: 0.8031 | |
| - Recall: 0.8425 | |
| - F1: 0.7768 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/meta-llama/Meta-Llama-3.1-405B-Instruct_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2341, 召回率: 0.2470, F1: 0.2404 | |
| BERT Score: | |
| - Precision: 0.7700 | |
| - Recall: 0.8487 | |
| - F1: 0.7676 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/Qwen/Qwen2.5-72B-Instruct_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2176, 召回率: 0.2240, F1: 0.2208 | |
| BERT Score: | |
| - Precision: 0.7709 | |
| - Recall: 0.8353 | |
| - F1: 0.7581 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gpt-3.5-turbo.json: | |
| Triple Match: | |
| 精确率: 0.1016, 召回率: 0.1294, F1: 0.1138 | |
| BERT Score: | |
| - Precision: 0.6323 | |
| - Recall: 0.8392 | |
| - F1: 0.6721 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gpt-4o.json: | |
| Triple Match: | |
| 精确率: 0.2253, 召回率: 0.2365, F1: 0.2308 | |
| BERT Score: | |
| - Precision: 0.7883 | |
| - Recall: 0.8503 | |
| - F1: 0.7810 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/gemini-1.5-pro-002.json: | |
| Triple Match: | |
| 精确率: 0.1626, 召回率: 0.2267, F1: 0.1894 | |
| BERT Score: | |
| - Precision: 0.6117 | |
| - Recall: 0.7841 | |
| - F1: 0.5770 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/claude-3-5-haiku-20241022.json: | |
| Triple Match: | |
| 精确率: 0.1853, 召回率: 0.2214, F1: 0.2017 | |
| BERT Score: | |
| - Precision: 0.6501 | |
| - Recall: 0.8473 | |
| - F1: 0.6889 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2339, 召回率: 0.2760, F1: 0.2532 | |
| BERT Score: | |
| - Precision: 0.7120 | |
| - Recall: 0.8565 | |
| - F1: 0.7217 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/meta-llama/Meta-Llama-3.1-405B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1620, 召回率: 0.2234, F1: 0.1878 | |
| BERT Score: | |
| - Precision: 0.6236 | |
| - Recall: 0.8733 | |
| - F1: 0.6780 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/Qwen/Qwen2.5-72B-Instruct.json: | |
| Triple Match: | |
| 精确率: 0.1710, 召回率: 0.2181, F1: 0.1917 | |
| BERT Score: | |
| - Precision: 0.6653 | |
| - Recall: 0.8692 | |
| - F1: 0.7061 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/gpt-4o_konwledge_tri.json: | |
| Triple Match: | |
| 精确率: 0.2531, 召回率: 0.2392, F1: 0.2459 | |
| BERT Score: | |
| - Precision: 0.8413 | |
| - Recall: 0.8209 | |
| - F1: 0.7944 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/one_shot/deepseek-ai/DeepSeek-V3_konwledge_tri.json: | |
| Triple Match: | |
| 精确率: 0.2078, 召回率: 0.2267, F1: 0.2168 | |
| BERT Score: | |
| - Precision: 0.7335 | |
| - Recall: 0.8506 | |
| - F1: 0.7447 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_only_tri/deepseek-ai/DeepSeek-V3.json: | |
| Triple Match: | |
| 精确率: 0.2005, 召回率: 0.2208, F1: 0.2101 | |
| BERT Score: | |
| - Precision: 0.7373 | |
| - Recall: 0.8532 | |
| - F1: 0.7495 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/deepseek-ai/DeepSeek-R1_guide.json: | |
| Triple Match: | |
| 精确率: 0.2327, 召回率: 0.3397, F1: 0.2762 | |
| BERT Score: | |
| - Precision: 0.6238 | |
| - Recall: 0.9047 | |
| - F1: 0.6921 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_all/deepseek-ai/DeepSeek-R1_one_shot.json: | |
| Triple Match: | |
| 精确率: 0.2829, 召回率: 0.3331, F1: 0.3060 | |
| BERT Score: | |
| - Precision: 0.7552 | |
| - Recall: 0.8813 | |
| - F1: 0.7735 | |
| F:/GeoLLM/output/Knowledge-guided_rerun/nomal_only_tri/deepseek-ai/DeepSeek-R1.json: | |
| Triple Match: | |
| 精确率: 0.2048, 召回率: 0.2523, F1: 0.2261 | |
| BERT Score: | |
| - Precision: 0.7166 | |
| - Recall: 0.8771 | |
| - F1: 0.7502 | |