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: We derive revenues from the sale of advertising. Expenditures by advertisers tend to be cyclical, reflecting economic conditions and budgeting and buying patterns. Periods of a slowing economy or recession, or periods of economic uncertainty, may be accompanied by a decrease in advertising. Macroeconomic uncertainty, including due to increased inflation, rising interest rates and the geo-political environment, during the year ended December 31, 2022 contributed to declines in our advertising revenues. This reduction in advertising revenues has had an adverse effect on our profit margins, cash flow and liquidity. If economic uncertainty continues or increases or economic conditions deteriorate, these conditions may continue to adversely impact our revenue, profit margins, cash flow and liquidity. In addition, inflation has the potential to adversely affect our liquidity, business, financial condition and results of operations by increasing our overall cost structure, particularly if we are unable to achieve commensurate increases in the prices we charge our customers. The existence of inflation in the economy has resulted in, and may continue to result in, higher interest rates and capital costs and increased costs of labor and other similar effects. As a result of inflation, we have experienced and may continue to experience, cost increases. Furthermore, because a significant portion of our revenue is derived from local advertisers, our ability to generate revenues in specific markets is directly affected by local and regional conditions, and unfavorable regional economic conditions also may adversely impact our results. In addition, even in the absence of a downturn in general economic conditions, an individual business sector or market may experience a downturn, causing it to reduce its advertising expenditures, which also may adversely impact our results.
Assistant: