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 restaurant industry is intensely competitive, with many well-established companies competing directly and indirectly with us. We compete in the restaurant industry with national, regional, locally owned, quick-service, casual, and full-service restaurants. Many of our competitors have significantly greater financial, marketing, personnel and other resources than we do. Many of our competitors are well-established in markets where we have existing restaurants or may acquire new ones. In addition, many of our competitors have greater name recognition nationally. Failure to successfully compete with the restaurants in our markets will place downward pressure on our customer traffic and may prevent us from increasing or sustaining our revenues and profitability. Consumer tastes, nutritional and dietary trends, traffic patterns and the type, number and location of competing restaurants often affect the restaurant. Our competitors may react more efficiently and effectively to those conditions. Further, we face growing competition from the supermarket industry, with improvements in meal preparation and delivery alternatives. Additionally, there is increased competition from limited-service and fast-casual restaurants that are aggressively pursuing delivery and “to-go” programs. Meal kit delivery companies and other eat-at-home options also compete with traditional restaurants. In addition, our competitors in the past have offered and promoted price discounts on specific menu offerings, and they may continue to do so in the future. If we cannot continue to compete effectively, our traffic, sales and restaurant-level profit margins could decline, and our business, financial condition and results of operations would be adversely affected.
Assistant: