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: Unfavorable resolution of pending and future litigation, regulatory proceedings, or governmental inquiries could have a material adverse effect on our and our tenants' business, results of operations, financial condition, and reputation. From time-to-time, we or our tenants may be involved in litigation, regulatory proceedings and other governmental inquiries. In particular, recent media and political focus on private investments in healthcare has led to heightened regulatory focus in this area, including Congressional efforts to increase federal oversight over healthcare facilities and an increase in SEC enforcement activity and government investigations relating to certain of our assets and tenants. An unfavorable resolution of pending or future litigation, regulatory proceedings, governmental inquiries, or other claims could have a material adverse effect on our and our tenants’ business, results of operations and financial condition. Regardless of outcome, any litigation, regulatory proceeding or governmental inquiry, and related adverse publicity, may result in substantial costs and expenses, significantly divert the attention of management, and materially damage our reputation. An unfavorable outcome may result in our having to pay significant fines, judgments, or settlements, which, if not indemnifiable by our tenants, or if uninsured, or if exceeding insurance coverage, could adversely impact our financial condition, cash flows, results of operations, and the trading price of our common stock.
Assistant: