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 are a defendant in pending lawsuits and other legal proceedings involving private litigants and governmental authorities. See Part II, Item 8. Financial Statements and Supplementary Data; Note 19 – Legal Proceedings in the Consolidated Financial Statements. These current and future matters may result in significant liabilities and diversion of our management’s time, attention, and resources. Given the uncertain nature of litigation generally, we are not able in all cases to estimate the amount or range of loss that could result from an unfavorable outcome in these matters. In view of these uncertainties, the outcome of these matters may result in charges that materially exceed any accrued liabilities for contingent losses and, to the extent available, liability insurance. We engage an outside actuary twice a year to assist us in estimating these liabilities. Litigation outcomes may include civil, administrative or criminal penalties as well as other remedies that could materially harm our reputation, business, financial condition or results of operations, adversely affect our liquidity and ability to service our indebtedness, or require us to restructure or amend the terms of our indebtedness. While we generally carry liability insurance intended to cover these contingencies, instances may occur that are not insured against or that are inadequately insured against. An uninsured or underinsured loss could be substantial and could impair our profitability and reduce our liquidity.
Assistant: