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 business could be materially and adversely affected by the outbreak of a widespread health epidemic, such as coronavirus, avian flu or African swine flu. Outbreaks of contagious illness occur from time to time around the world, including in China where virtually all of our restaurants are located. The occurrence of such an outbreak or other adverse public health developments in China could materially disrupt our business and operations, including if government authorities impose mandatory closures, seek voluntary closures or impose restrictions on operations of restaurants. Furthermore, the risk of contracting viruses or other illnesses that may be transmitted through human contact could cause employees or guests to avoid gathering in public places or interacting with other people, which could materially and adversely affect restaurant guest traffic or the ability to adequately staff restaurants. An outbreak could also cause disruption in our supply chain and adversely impact our ability to ensure supplies to the stores and to provide safety measures to protect our employees and customers, which could materially and adversely affect our continuous operations. If an outbreak reaches pandemic levels, there may also be long-term effects on the economies of effected countries. Any of the foregoing within China would severely disrupt our operations and could have a material adverse effect on our business, results of operations, cash flows and financial condition.
Assistant: