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: Higher rates of prepayments of student loans, including consolidations by the Department through the Federal Direct Loan Program or private refinancing programs, reduce our interest income._The Higher Education Act allows borrowers to prepay FFEL Program loans at any time without penalty. Prepayments have resulted and may continue to result from consolidations of student loans by the Department through the Federal Direct Loan Program or by a lending institution through a private education or unsecured consumer loan, which historically tend to occur more frequently in low interest rate environments; from borrower defaults on federally insured loans, which will result in the receipt of a guaranty payment; and from voluntary full or partial prepayments; among other things._If the federal government or the Department initiate additional loan forgiveness or cancellation, other repayment options or plans, consolidation loan programs, or further extend the suspension of borrower payments under the CARES Act, such initiatives could further increase prepayments and reduce interest income. Even if a broad debt cancellation program only applied to student loans held by the Department, such program could result in a significant increase in consolidations of FFELP loans to Federal Direct Loan Program loans and a corresponding increase in prepayments with respect to our FFELP loan portfolio, and also a decrease in our third-party FFELP loan servicing revenues._
Assistant: