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: The sale of products for human use and consumption involves the risk of injury or illness to consumers. Such injuries may result from inadvertent mislabeling, tampering by unauthorized third parties or product contamination or spoilage. Under certain circumstances, we may be required to recall or withdraw products, suspend production of our products or cease operations, which may lead to a material adverse effect on our business. In addition, customers may cancel orders for such products as a result of such events. Even if a situation does not necessitate a recall or market withdrawal, product liability claims might be asserted against us. While we are subject to governmental inspection and regulations and believe our facilities and those of our co-packers and suppliers comply in all material respects with all applicable laws and regulations, if the consumption of any of our products causes, or is alleged to have caused, a health-related illness, we may become subject to claims or lawsuits relating to such matters. Even if a product liability claim is unsuccessful or is not fully pursued, the negative publicity surrounding any assertion that our products caused illness or physical harm, could adversely affect our reputation with existing and potential customers and consumers and our corporate and brand image. Moreover, claims or liabilities of this type might not be covered by our insurance or by any rights of indemnity or contribution that we may have against others. Although we maintain product liability and product recall insurance in an amount that we believe to be adequate, we may incur claims or liabilities for which we are not insured or that exceed the amount of our insurance coverage. A product liability judgment against us or a product recall could have a material adverse effect on our business, consolidated financial condition, results of operations or liquidity.
Assistant: