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 rely on a limited number of distribution facilities for our product distribution. Our distribution facilities utilize computer controlled and automated equipment, which means the operations are complicated and may be subject to a number of risks related to security or computer viruses or malware, the proper operation of software and hardware, power interruptions or other system failures. In addition, because many of our products are distributed from a limited number of locations, our operations could also be interrupted by severe weather conditions, floods, fires or other natural disasters in these locations, as well as labor or other operational difficulties or interruptions, including public health crises or disease epidemics. For example, the current COVID-19 pandemic may impede our ability to operate our distribution facilities at full capacity and may similarly impact our third-party logistics providers. We maintain business interruption insurance, but it may not adequately protect us from the adverse effects that could be caused by significant disruptions in our distribution facilities or from all types of events causing such disruptions. Significant disruptions could lead to loss of customers or an erosion of our brand image. In addition, our distribution capacity is dependent on the timely performance of services by third parties. This includes the shipping of product to and from our distribution facilities, as well as partnering with third-party distribution facilities in certain regions where we do not maintain our own facilities. From time to time, certain of our partners have experienced disruptions to their operations, including cyber-related disruptions. If we or our partners encounter such problems, our results of operations, as well as our ability to meet customer expectations, manage inventory, complete sales and achieve objectives for operating efficiencies could be materially adversely affected.
Assistant: