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 have originated or invested in, and may in the future originate or invest in, covenant-lite loans to our portfolio companies, which means the loan agreement or other debt instrument governing these debt obligations contains fewer maintenance covenants than other loan agreements or debt obligations, or no maintenance covenants, and may not include covenants that we could use to monitor the financial performance of the portfolio company borrower, including covenants based upon compliance with financial ratios, and declare a default under the loan agreement or other debt instrument if the specified covenants are breached. While these loans or other debt obligations to portfolio company borrowers may still contain other collateral protections, a covenant-lite loan may carry more risk than a covenant-heavy loan made to the same portfolio company borrower as it does not require this borrower to provide affirmation that certain specific financial tests have been satisfied on a routine basis, as is generally required under a covenant-heavy loan agreement or other debt instrument. Generally, covenant-lite loans or other debt instruments provide borrowers more freedom, which may negatively impact lenders because these covenants, if any, tend to be incurrence-based, meaning they are only tested and can only be breached following an affirmative action of the borrower, rather than by deterioration in the borrower’s financial condition. Should the financial condition of a portfolio company borrower begin to deteriorate, our investment in or origination of covenant-lite loans or other debt instruments to such portfolio company borrower may potentially reduce our ability to restructure such problematic loan and mitigate potential loss. As a result of our investment in or origination of covenant-lite loans, our exposure to losses may be increased, which could result in an adverse impact on the Corporation’s revenues, net income and NAV per share.
Assistant: