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 depend on package carriers for the delivery of products to our customers and our stores. Any significant interruption or disruption in carrier service to our distribution centers or stores due to severe weather, natural disasters, information technology upgrades, operating issues, disruptions to our transportation network, public heath crises, pandemics, including the COVID-19 pandemic, or other unanticipated events, could impair our ability to obtain or deliver inventory in a timely manner, cause cancellations or delays in shipments to customers or otherwise disrupt our normal business operations. Our logistics services are operated through our distribution centers. An interruption of operations at any of our distribution centers could have a material adverse effect on the operations of branches served by the affected distribution. Such disaster related risks and effects are not predictable with certainty and, although they typically can be mitigated, they cannot be eliminated. We seek to mitigate our exposures to disaster events in a number of ways. For example, where feasible, we design the configuration of our facilities to reduce the consequences of disasters. We also maintain insurance for our facilities against casualties, and we evaluate our risks and develop contingency plans for dealing with them. Although we have reviewed and analyzed a broad range of risks applicable to our business, the ones that actually affect us may not be those that we have concluded are most likely to occur. Furthermore, although our reviews have led to more systematic contingency planning, our plans are in varying stages of development and execution, such that they may not be adequate at the time of occurrence for the magnitude of any particular disaster event that we may encounter. See Item 1A. Risk Factors -- Risks Related to Our Ability to Grow Our Business – “We depend on third-party delivery services to deliver products to our retail locations, processing centers and customers on a timely and consistent basis, and deterioration in our relationship with these third-party providers or increases in the fees that they charge could reduce our margins, harm our reputation and adversely affect our business and financial condition.”
Assistant: