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: Natural disasters or other catastrophic events have in the past and may in the future cause damage or disruption to our operations, international commerce and the global economy, and thus could have a strong negative effect on us. Our business operations, the business operations of third-party providers or suppliers that we rely on to conduct our business and the business operations of our customers are subject to interruption by natural disasters, fire, power shutoffs or shortages, actual or threatened public health emergencies and other events beyond our control. For example, the occurrence of regional epidemics or a global pandemic, such as COVID-19, and related public health measures have in the past and may in the future materially affect how we and our customers operate our businesses, as well as our operating results and cash flows. Although we maintain crisis management and disaster response plans, such events could make it difficult or impossible for us to deliver our services to our customers, and could decrease demand for our services. Our corporate headquarters, and a significant portion of our personnel, research and development activities and other critical business operations, are located near major seismic faults in the San Francisco Bay Area. Because we do not carry earthquake insurance for direct earthquake-related losses and significant recovery time could be required to resume operations, our financial condition and operating results could be materially and adversely affected in the event of a major earthquake or catastrophic event, and the adverse effects of any such catastrophic event would be exacerbated if experienced at the same time as another unexpected and adverse event.
Assistant: