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          "reason": "候选项与目标实体或目标别名匹配。",
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      },
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        "is_target": false,
        "confidence": 0.53,
        "sample_count": 2,
        "raw_count": 2,
        "evidence": {
          "source_title_person": 2
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        "evidence_score": 1.3,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "性能排行",
          "semantic_label": "source_or_title",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项缺少正文回答证据，主要来自信源标题或来源信息。",
          "normalized_name": "性能排行",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "source_or_title",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项缺少正文回答证据，主要来自信源标题或来源信息。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
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      },
      {
        "name": "# 一、第一梯队",
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        "confidence": 0.49,
        "sample_count": 3,
        "raw_count": 3,
        "evidence": {
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        "evidence_score": 2.2,
        "surface_score": 1,
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        "reasons": [],
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          "candidate": "# 一、第一梯队",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "# 一、第一梯队",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
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        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
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          "negative_rate": 0,
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      },
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        "kind": "concept",
        "is_target": false,
        "confidence": 0.45,
        "sample_count": 2,
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        "evidence": {
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        "evidence_score": 1.8,
        "surface_score": 1,
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        "reasons": [],
        "semantic": {
          "candidate": "企业接入国产大模型时",
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          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "企业接入国产大模型时",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
        "metrics": {
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      },
      {
        "name": "# 🇨🇳 中国大模型Top 10",
        "aliases": [],
        "kind": "concept",
        "is_target": false,
        "confidence": 0.43,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
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        "evidence_score": 1.4,
        "surface_score": 2,
        "surface_reasons": [
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        "reasons": [],
        "semantic": {
          "candidate": "# 🇨🇳 中国大模型Top 10",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "# 🇨🇳 中国大模型Top 10",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
        "metrics": {
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      },
      {
        "name": "# 🇨🇳 2026中国大模型Top 10",
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        "is_target": false,
        "confidence": 0.43,
        "sample_count": 1,
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        "evidence_score": 1.4,
        "surface_score": 2,
        "surface_reasons": [
          "中英混合品牌形态"
        ],
        "reasons": [],
        "semantic": {
          "candidate": "# 🇨🇳 2026中国大模型Top 10",
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          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "# 🇨🇳 2026中国大模型Top 10",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
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      },
      {
        "name": "## 1）MoE",
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        "confidence": 0.43,
        "sample_count": 1,
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        "evidence": {
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        "evidence_score": 1.4,
        "surface_score": 2,
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        "reasons": [],
        "semantic": {
          "candidate": "## 1）MoE",
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          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "## 1）MoE",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
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        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
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      },
      {
        "name": "截至 2026 年",
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        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
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        "evidence": {
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        "evidence_score": 1.4,
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        "reasons": [],
        "semantic": {
          "candidate": "截至 2026 年",
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          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "截至 2026 年",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
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        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
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      },
      {
        "name": "结合近期公开行业报告与技术新闻",
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        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
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        "evidence_score": 1.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "结合近期公开行业报告与技术新闻",
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          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "结合近期公开行业报告与技术新闻",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
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        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
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      },
      {
        "name": "# 🇨🇳 中国大模型前十",
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        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
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        "evidence": {
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        "evidence_score": 1.4,
        "surface_score": 1,
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        "reasons": [],
        "semantic": {
          "candidate": "# 🇨🇳 中国大模型前十",
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          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "# 🇨🇳 中国大模型前十",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
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        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
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      },
      {
        "name": "# 一、结论先说",
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        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
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        "semantic": {
          "candidate": "# 一、结论先说",
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        "semantic_label": "unrelated_entity",
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      },
      {
        "name": "## 💻 代码能力最强梯队",
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        "is_target": false,
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        "sample_count": 1,
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        "reasons": [],
        "semantic": {
          "candidate": "## 💻 代码能力最强梯队",
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          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "## 💻 代码能力最强梯队",
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          "source": "heuristic",
          "enforced": false
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        "semantic_label": "unrelated_entity",
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      },
      {
        "name": "# 一、结论先说清",
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          "source": "heuristic",
          "enforced": false
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        "semantic_label": "unrelated_entity",
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      },
      {
        "name": "结合近期公开评测与行业报告",
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        "semantic": {
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          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
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      },
      {
        "name": "# 一、按能力路线划分",
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          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "# 一、按能力路线划分",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
        "metrics": {
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          "average_rank": null,
          "dominant_sentiment": "neutral",
          "negative_rate": 0,
          "reference_mentions": 0
        }
      },
      {
        "name": "** * * * # 五、未来趋势",
        "aliases": [],
        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
          "answer_heading": 1
        },
        "evidence_score": 1.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "** * * * # 五、未来趋势",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "** * * * # 五、未来趋势",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
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          "average_rank": null,
          "dominant_sentiment": "neutral",
          "negative_rate": 0,
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        }
      },
      {
        "name": "下面给你一个比较清晰的“行业通用分法",
        "aliases": [],
        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
          "answer_heading": 1
        },
        "evidence_score": 1.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "下面给你一个比较清晰的“行业通用分法",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "下面给你一个比较清晰的“行业通用分法",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
        "metrics": {
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          "dominant_sentiment": "neutral",
          "negative_rate": 0,
          "reference_mentions": 0
        }
      },
      {
        "name": "# 一、按技术架构分",
        "aliases": [],
        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
          "answer_heading": 1
        },
        "evidence_score": 1.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "# 一、按技术架构分",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "# 一、按技术架构分",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
        "metrics": {
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          "dominant_sentiment": "neutral",
          "negative_rate": 0,
          "reference_mentions": 0
        }
      },
      {
        "name": "## 1）通用推理/代码型",
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        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
          "answer_heading": 1
        },
        "evidence_score": 1.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "## 1）通用推理/代码型",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "## 1）通用推理/代码型",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
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          "dominant_sentiment": "neutral",
          "negative_rate": 0,
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        }
      },
      {
        "name": "最强智能",
        "aliases": [],
        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
          "org_suffix": 1
        },
        "evidence_score": 2.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "最强智能",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "最强智能",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
        "metrics": {
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          "dominant_sentiment": "neutral",
          "negative_rate": 0,
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        }
      },
      {
        "name": "企业级智能",
        "aliases": [],
        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
          "org_suffix": 1
        },
        "evidence_score": 2.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "企业级智能",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "企业级智能",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
        "metrics": {
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          "dominant_sentiment": "neutral",
          "negative_rate": 0,
          "reference_mentions": 0
        }
      },
      {
        "name": "结合 2026 年公开评测与行业报告",
        "aliases": [],
        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
          "answer_heading": 1
        },
        "evidence_score": 1.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "结合 2026 年公开评测与行业报告",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "结合 2026 年公开评测与行业报告",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
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          "dominant_sentiment": "neutral",
          "negative_rate": 0,
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        }
      },
      {
        "name": "# 一、优先级结论",
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        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
          "answer_heading": 1
        },
        "evidence_score": 1.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "# 一、优先级结论",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "# 一、优先级结论",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
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          "dominant_sentiment": "neutral",
          "negative_rate": 0,
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        }
      },
      {
        "name": "# 一、结论先行",
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        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
          "answer_heading": 1
        },
        "evidence_score": 1.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "# 一、结论先行",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "# 一、结论先行",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
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        "role": "candidate",
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          "dominant_sentiment": "neutral",
          "negative_rate": 0,
          "reference_mentions": 0
        }
      },
      {
        "name": "推理能力",
        "aliases": [
          "Reasoning"
        ],
        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
          "person_alias": 1
        },
        "evidence_score": 2.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "推理能力",
          "semantic_label": "service_or_feature",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.82,
          "reason": "候选项更像服务能力、产品功能或内容特征，不是独立竞品实体。",
          "normalized_name": "推理能力",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "service_or_feature",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.82,
        "semantic_reason": "候选项更像服务能力、产品功能或内容特征，不是独立竞品实体。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
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          "average_rank": null,
          "dominant_sentiment": "neutral",
          "negative_rate": 0,
          "reference_mentions": 0
        }
      },
      {
        "name": "结合 2025–2026 年公开测评与行业实践",
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        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
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        "evidence": {
          "answer_heading": 1
        },
        "evidence_score": 1.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "结合 2025–2026 年公开测评与行业实践",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "结合 2025–2026 年公开测评与行业实践",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
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        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
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        "role": "candidate",
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          "dominant_sentiment": "neutral",
          "negative_rate": 0,
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        }
      },
      {
        "name": "下面给你一个**企业可落地的优先选型清单",
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        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
          "answer_heading": 1
        },
        "evidence_score": 1.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "下面给你一个**企业可落地的优先选型清单",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "下面给你一个**企业可落地的优先选型清单",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
        "semantic_source": "heuristic",
        "semantic_recommended_action": "exclude",
        "role": "candidate",
        "entered_competitor_matrix": false,
        "entity_type": "concept",
        "metrics": {
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          "dominant_sentiment": "neutral",
          "negative_rate": 0,
          "reference_mentions": 0
        }
      },
      {
        "name": "# 一、第一优先梯队",
        "aliases": [],
        "kind": "concept",
        "is_target": false,
        "confidence": 0.41,
        "sample_count": 1,
        "raw_count": 1,
        "evidence": {
          "answer_heading": 1
        },
        "evidence_score": 1.4,
        "surface_score": 1,
        "surface_reasons": [],
        "reasons": [],
        "semantic": {
          "candidate": "# 一、第一优先梯队",
          "semantic_label": "unrelated_entity",
          "is_same_type": false,
          "is_direct_competitor": false,
          "confidence": 0.74,
          "reason": "候选项与目标实体类型不一致。",
          "normalized_name": "# 一、第一优先梯队",
          "recommended_action": "exclude",
          "source": "heuristic",
          "enforced": false
        },
        "semantic_label": "unrelated_entity",
        "semantic_is_same_type": false,
        "semantic_is_direct_competitor": false,
        "semantic_confidence": 0.74,
        "semantic_reason": "候选项与目标实体类型不一致。",
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        "semantic_recommended_action": "exclude",
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