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: We internally manufacture our own products at our facilities with substantial fixed costs. While we maintain insurance covering our facilities and have significant flexibility to manufacture and ship our own products from various facilities, a loss of the use of our facilities, whether short or long-term, could have a material adverse effect on our business, financial condition, results of operations and cash flows. Our business interruption insurance may not be sufficient to offset the lost revenues or increased costs that we may experience during a disruption of our operations. Unexpected failures of our equipment and machinery may result in production delays, revenue loss and significant repair costs, injuries to our employees, and customer claims. Increasing manufacturing capacity requires successful execution of capital projects, including adding, upgrading and replacing equipment, which may be subject to supply chain delays for equipment or parts. Global supply chain disruptions, including as a result of the COVID-19 pandemic and geopolitical events, and shortage of raw materials, and the related impacts on our third-party suppliers to deliver the raw materials, components, systems and parts that we need to manufacture and service our products could also adversely impact our production. Any interruption in production may limit our ability to supply enough products to customers and may required us to make capital expenditures, which could have a negative impact on our profitability and cash flows.
Assistant: