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 outbreak of the novel coronavirus (COVID-19), and any other outbreaks of contagious diseases or other adverse public health developments, could have a materially adverse effect on our financial condition, liquidity, results of operations, and cash flows. The rapid spread of COVID-19 has resulted in governmental authorities implementing numerous measures to try to contain the virus, such as travel bans and restrictions, quarantines, stay-at-home orders, increased border security and closures. These measures and the public health concerns resulting from the outbreak have severely disrupted economic and commercial activity. The resulting impact on domestic and global supply chains has caused slowdowns and reduced freight demand for transportation companies such as ours. Because we have a significant concentration of customers within the automotive industry, our revenues have been significantly affected by the closure of North American automotive and heavy-truck manufacturing facilities beginning in late March and throughout the second quarter of 2020. Although most automotive and heavy-truck operations have resumed production, additional closures and other consumer activity affecting our customers and any future wave of the virus or other similar outbreaks could further adversely affect our business. A significant portion of our revenue is also provided by a network of agents and owner-operators located throughout the United States and in Ontario, Canada. As the COVID-19 virus continues to spread in areas we service, a significant impact to our network due to illness or government restrictions could have a material adverse effect on our ability to service our customers and on our business and results of operations. In addition, the implementation of measures to protect the health and safety of our employees, customers, vendors, and the general public may disrupt our ability to efficiently manage personnel and operations and to recruit and retain driver and non-driver personnel, which could have a materially adverse effect on our operating results. Further, negative financial results, an economic downturn or uncertainty, or a tightening of credit markets caused by COVID-19 or other similar outbreaks could have a material adverse effect on our liquidity and our ability to effectively meet our short- and long-term financial obligations.
Assistant: