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 Company has operations in China, which represented one of the top five countries for our international sales in 2020 and 2019. Any tariffs or other trade restrictions affecting the import of products from China or any retaliatory trade measures taken by China in response to existing or future tariffs could have a material adverse effect on our results of operations. Starting in 2018, the U.S. Government imposed tariffs on a wide range of goods imported from China and China has retaliated by placing tariffs on various U.S. origin goods. While both countries signed a preliminary trade agreement in January 2020 halting further tariffs and increasing sales of U.S. goods to China, the agreement leaves in place most tariffs on Chinese goods. The final outcome of the negotiations and agreements is not possible to predict. Further escalation of the “trade war” between the U.S. and China, or the countries’ inability to reach further trade agreements, could result in continued or increased tariffs. High tariffs generally increase the cost of materials for our products, which could result in our products becoming less competitive or generating lower margins. With high tariffs imposed on our products, we may also need to find new suppliers and components for our products, which could result in production delays. To the extent our products are the subject of retaliatory tariffs, customers in some countries or regions, such as China, may begin to seek domestic or non-U.S. sources for products that we sell, or be pressured or incentivized by foreign governments not to purchase U.S.-origin goods, which could harm our future sales in these markets. Additionally, if China bolsters laws or regulations requiring the use of local China suppliers, it could have a negative impact on Teledyne’s revenues.
Assistant: