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: Our primary liquidity risk arises from financing long-maturity assets with shorter-term financings primarily in the form of financing arrangements. Our Manager seeks to mitigate our liquidity risks by maintaining a prudent level of leverage, monitoring our liquidity position on a daily basis and maintaining a reasonable cushion of cash and unpledged real estate securities and loans in our portfolio in order to meet future margin calls. In addition, our Manager seeks to further mitigate our liquidity risk by (i) maintaining relationships with a carefully selected group of financing counterparties and (ii) monitoring the ongoing financial stability and future business plans of our financing counterparties._Liquidity risk – financing arrangements_We pledge mortgage loans or real estate securities and cash as collateral to secure our financing arrangements. Should the fair value of our real estate securities or mortgage loans pledged as collateral decrease (as a result of rising interest rates, changes in prepayment speeds, widening of credit spreads or otherwise), we will likely be subject to margin calls for additional collateral from our financing counterparties. Should the fair value of our real estate securities or mortgage loans decrease materially and suddenly, margin calls will likely increase causing an adverse change to our liquidity position which could result in substantial losses. In addition, we cannot be assured that we will always be able to roll our financing arrangements at their scheduled maturities, which could cause material additional harm to our liquidity position and result in substantial losses. Further, should funding conditions tighten as they did in 2007-2008, 2009 and more recently in March 2020, our financing arrangement counterparties may increase our margin requirements on new financings, including repurchase transactions that we roll at maturity with the same counterparty. This would require us to post additional collateral and would reduce our ability to use leverage and could potentially cause us to incur substantial losses._
Assistant: