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: Projects in the aerospace products and services sector are exposed to unplanned interruptions caused by breakdown or failure of equipment, aging infrastructure, employee error or contractor or subcontractor failure, limitations that may be imposed by equipment conditions or environmental, safety or other regulatory requirements, fuel supply or fuel transportation reductions or interruptions, labor or legal disputes, difficulties with the implementation or operation of information systems, power outages, pipeline or electricity line ruptures, catastrophic events, such as hurricanes, cyclones, earthquakes, landslides, floods, explosions, fires, or other disasters. Any equipment or system outage or constraint can, among other things, reduce sales, increase costs and affect the ability to meet regulatory service metrics, customer expectations and regulatory reliability and security requirements. Operational disruption, as well as supply disruption, and increased government oversight could adversely impact the cash flows available from these assets. In addition, the cost of repairing or replacing damaged assets could be considerable. Repeated or prolonged interruption may result in temporary or permanent loss of customers, substantial litigation or penalties for regulatory or contractual non-compliance, and any loss from such events may not be recoverable under relevant insurance policies. Although we believe that we are adequately insured against these types of events, no assurance can be given that the occurrence of any such event will not materially adversely affect us.
Assistant: