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: Uncertain global macroeconomic conditions that affect the economy and the economic outlook of the United States, Canada, Europe, UK and other parts of the world could adversely affect our customers and vendors, which could adversely affect our results of operations and financial condition. These uncertainties, including, among other things, sovereign and foreign bank debt levels, the inability of national or international political institutions to effectively resolve economic or budgetary crises or issues, trade disputes or changes in trading rules and tariffs between nations, consumer confidence, unemployment levels, interest rates, availability of capital, fuel and energy costs, tax rates, and the threat or outbreak of terrorism or public unrest, could adversely impact our customers and vendors, which could adversely affect us. Recessionary conditions and depressed levels of consumer and commercial spending may cause customers to reduce, modify, delay or cancel plans to purchase our products and may cause vendors to reduce their output or change their terms of sales. We generally sell products to customers with credit payment terms. If customers’ cash flow or operating or financial performance deteriorates, or if they are unable to make scheduled payments or obtain credit, they may not be able to pay, or may delay payment to us. Likewise, for similar reasons vendors may restrict credit or impose different payment terms. Any inability of current or potential customers to pay us for our products or any demands by vendors for different payment terms may adversely affect our results of operations and financial condition.
Assistant: