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: The demand for entertainment and leisure activities tends to be highly sensitive to changes in consumers’ disposable income, and thus can be affected by changes in the economy and consumer tastes, both of which are difficult to predict and beyond our control. Unfavorable changes in general economic conditions, including recessions, economic slowdown, sustained high levels of unemployment, and increasing fuel or transportation costs, may reduce customers’ disposable income or result in fewer individuals visiting casinos, whether land-based or online, or otherwise engaging in entertainment and leisure activities, including gambling. As a result, we cannot ensure that demand for our products or services will remain constant. Continued or renewed adverse developments affecting economies throughout the world, including a general tightening of availability of credit, decreased liquidity in many financial markets, increasing interest rates, increasing energy costs, acts of war or terrorism, transportation disruptions, natural disasters, declining consumer confidence, sustained high levels of unemployment or significant declines in stock markets, could lead to a further reduction in discretionary spending on leisure activities, such as gambling. Any significant or prolonged decrease in consumer spending on entertainment or leisure activities could reduce our online games, reducing our cash flows and revenues. If we experience a significant unexpected decrease in demand for our products, we could incur losses.
Assistant: