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: Each of our operating segments operates in a highly competitive business environment and faces intense competition from a significant number of competitors, many of which have strong consumer brand equity. Several of these competitors, such as those set forth in the Business section of this annual report on Form 10-K, are large, well-established companies, ranking among the Global Fortune 500. We also face competition that may be able to quickly adapt to changing consumer preferences, particularly in the connected appliance space, or may be able to adapt more quickly to changes brought about by the global pandemic, supply chain constraints, inflationary pressures, currency fluctuations, geopolitical uncertainty, increased interest rates or other factors. Moreover, our customer base includes large, sophisticated trade customers who have many choices and demand competitive products, services and prices, and which have and may in the future merge, consolidate, form alliances or further increase their relative purchasing scale. Competition in the global appliance industry is based on a number of factors including selling price, product features and design, consumer taste, performance, innovation, reputation, energy efficiency, service, quality, cost, distribution, and financial incentives, such as promotional funds, sales incentives, volume rebates and terms. Many of our competitors are increasingly expanding beyond their existing manufacturing footprints. Our competitors, especially global competitors with low-cost sources of supply, vertically integrated business models and/or highly protected home countries outside the United States, have aggressively priced their products and/or introduced new products to increase
Assistant: