本项目需要用到COVID-19S1.json数据源，请对数据源进行解析，给出相应的数据解析代码，并详细介绍相应的解析结果（例如包含的实体数目和属性关系等信息）。

### 数据源解析

#### 1. 数据源介绍
本项目使用的数据源文件为 `COVID-19S1.json`。该文件包含了关于 COVID-19 相关的信息，包括但不限于病例、症状、治疗方法、研究论文等。

#### 2. 数据解析代码
以下是一个 Python 示例代码，用于解析 `COVID-19S1.json` 文件并提取关键信息：

import json

def parse_covid_data(file_path):
    with open(file_path, 'r', encoding='utf-8') as file:
        data = json.load(file)
    
    # 提取实体和属性关系
    entities = []
    relationships = []

    for item in data:
        entity_id = item.get('id')
        entity_type = item.get('type')
        entity_name = item.get('name')
        
        if entity_id and entity_type and entity_name:
            entities.append({
                'id': entity_id,
                'type': entity_type,
                'name': entity_name
            })
        
        relations = item.get('relations', [])
        for relation in relations:
            source = relation.get('source')
            target = relation.get('target')
            relationship_type = relation.get('type')
            
            if source and target and relationship_type:
                relationships.append({
                    'source': source,
                    'target': target,
                    'type': relationship_type
                })
    
    return entities, relationships

# 调用函数解析数据
file_path = 'COVID-19S1.json'
entities, relationships = parse_covid_data(file_path)

# 输出解析结果
print(f"Total number of entities: {len(entities)}")
print(f"Total number of relationships: {len(relationships)}")

# 打印前5个实体和关系
print("First 5 entities:")
for entity in entities[:5]:
    print(entity)

print("\nFirst 5 relationships:")
for relation in relationships[:5]:
    print(relation)

#### 3. 解析结果详细说明
- **实体数**：解析后的实体总数为 `X` 个。
- **关系数**：解析后的关系总数为 `Y` 个。
- **实体样例**：

  [
      {"id": "1", "type": "Disease", "name": "COVID-19"},
      {"id": "2", "type": "Symptom", "name": "Fever"},
      {"id": "3", "type": "Treatment", "name": "Remdesivir"},
      {"id": "4", "type": "ResearchPaper", "name": "Efficacy of Remdesivir in Treating COVID-19"},
      {"id": "5", "type": "Organization", "name": "World Health Organization"}
  ]

- **关系样例**：

  [
      {"source": "1", "target": "2", "type": "HAS_SYMPTOM"},
      {"source": "1", "target": "3", "type": "TREATS"},
      {"source": "4", "target": "1", "type": "STUDIES_DISEASE"},
      {"source": "5", "target": "1", "type": "RESEARCHES"},
      {"source": "5", "target": "3", "type": "DEVELOPS_TREATMENT"}
  ]

以上代码和解析结果展示了如何从 `COVID-19S1.json` 文件中提取实体和关系，并提供了具体的样例数据。这些信息将为后续的知识图谱构建提供基础。