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 business is sensitive to general economic conditions. Slower global economic growth, actual or anticipated default on sovereign debt, changes in global trade policies, volatility in the currency and credit markets, high levels of unemployment or underemployment, reduced levels of capital expenditures, changes in government fiscal and monetary policies, government deficit reduction and budget negotiation dynamics, sequestration, other austerity measures, political and social instability, natural disasters, terrorist attacks and other challenges that affect the global economy may adversely affect us and our distributors, customers and suppliers, including having the effect of: In addition, adverse general economic conditions have led to instability in U.S. and global capital and credit markets, including market disruptions, limited liquidity, inflation and interest rate volatility. If we are unable to access capital and credit markets on terms that are acceptable to us or our lenders are unable to provide financing in accordance with their contractual obligations, we may not be able to make certain investments or acquisitions or fully execute our business plans and strategies. Furthermore, our suppliers and customers are also dependent upon the capital and credit markets. Limitations on the ability of customers, suppliers or financial counterparties to access credit at interest rates and on terms that are acceptable to them could lead to insolvencies of key suppliers and customers, limit or prevent customers from obtaining credit to finance purchases of our products and services and cause delays in the delivery of key products from suppliers.
Assistant: