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 financial performance generally, and in particular the ability of borrowers to pay interest on and repay principal of outstanding loans and the value of collateral securing those loans, as well as demand for loans and other products and services we offer, is highly dependent upon the business environment in the primary markets where we operate and in the U.S. as a whole. We are facing an uncertain economic environment. While disruptions caused directly by the COVID-19 pandemic decreased during 2022 and the economy continued to recover from pandemic lows, the U.S. economy experienced rapidly rising inflation and interest rates, labor shortages, supply chain issues and volatile commodity and financial markets, exacerbated by the Russian invasion of Ukraine that began in February 2022. During the entirety of 2021, the Federal Reserve’s federal funds target rate was 0% to 0.25% and it remained at that rate until March 2022. During 2022, the Federal Reserve increased the federal funds target rate seven times from a range of 0% to 0.25% to a range of 4.25% to 4.50%. The Federal Reserve increased the target rate again on February 1, 2023 to 4.50% to 4.75% and may increase the rate additional times during 2023. Also during 2022, the S&P 500 Index declined approximately 19%. The U.S. government reached the statutory debt limit on January 19, 2023 and the U.S. Department of the Treasury began to implement extraordinary measures to meet the obligations of the U.S. Treasury officials have projected that extraordinary measures should be effective until June 2023, although the exact time is uncertain. If the U.S. Congress does not act to raise the statutory debt limit, the federal government may be forced to shut down and the U.S. may default on its debt.
Assistant: