System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: Our cultural products are mainly produced through outsourcing processing. We are responsible for key aspects such as product research and development, design, quality control, sales, and customer service. The outsourcing processing vendors, on the other hand, are responsible for material procurement and production, and then deliver the finished products to us. At present, our outsourcing processing vendors are not long-term partners. There are potential risks associated with the outsourcing processing model such as quality control, supply chain, financial, and intellectual property risks. Any unexpected changes in the outsourcing processing vendors’ supply timeliness and product quality may have a certain adverse impact on our operations. This could include delays in product delivery or quality issues that may lead to product recalls or negative customer feedback. Any disruptions in the supply chain could have a significant impact on our ability to meet customer demand. Outsourcing processing typically involves additional costs, such as transportation and fees paid to the outsourcing processing vendors. If the cost of outsourcing processing exceeds the expected revenue, it could lead to financial losses. We are also sharing our intellectual property and trade secrets with third-party entities. If the outsourcing processing vendors fail to protect this sensitive information, it could lead to lost revenue and damage to our competitive advantage.
Assistant: