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: Our systems and operations and those of our service providers and partners have experienced from time to time, and may experience in the future business interruptions or degradation because of distributed denial-of-service and other cyberattacks, insider threats, hardware and software defects or malfunctions, human error, earthquakes, hurricanes, floods, fires, and other natural disasters, public health crises (including pandemics), power losses, disruptions in telecommunications services, fraud, military or political conflicts, terrorist attacks, computer viruses or other malware, or other events. Our corporate headquarters are located in the Silicon Valley, a seismically active region in California. A catastrophic event that results in a disruption or failure of our systems or operations could result in significant losses and require substantial recovery time and significant expenditures to resume or maintain operations, which could have a material adverse impact on our business, financial condition, and results of operations. Additionally, some of our systems, including those of companies we have acquired, are not fully redundant, and our disaster recovery planning may not be sufficient for all possible outcomes or events. As a provider of payments solutions, we are subject to heightened scrutiny by regulators that may require specific business continuity, resiliency and disaster recovery plans, and rigorous testing of such plans, which may be costly and time-consuming to implement, and may divert our resources from other business priorities.
Assistant: