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 logistics industry is affected by, among other things, the global and local political and economic environments including macroeconomic and monetary policies, currency and interest rate fluctuations and other socio-political factors. Any sudden downturn or sudden change in the global, regional or local economic, political, social, legal, environment or government policies (for instance, Brexit, the Sino-US trade war and any local political turmoil or civil disobedience movements), laws, rules or regulations which are beyond our control, may adversely affect and disrupt the business of major players along the value chain in the logistics industry. Such downturns or changes may affect our business and increase our operating costs and lower our profit margin, leading to material adverse effects on our business, results of operations and profitability. In particular, the U.S. has been implementing import tariffs and/or restrictions on goods from the PRC since July 2018, and the PRC has also been implementing similar measures against goods from the U.S. in response which has affected the global macroeconomic environment. In addition, another import restriction was announced in August 2020, as the U.S. issued a notice stating that all imported goods produced in Hong Kong must be marked to indicate “China” as its origin. Although the change of the U.S. import tariffs and/or restrictions may not have any direct impact on our business due to our services nature, the Sino-US trade war may affect the global economy and the demand of freight forwarding services, and any uncertainty surrounding any existing or new tariffs and/or trade restrictions and the continuous impact on the global economy brought by the Sino-US trade war may affect the demand for logistics services in the long-term. If the Sino-US trade war continues to escalate, it could cause a detrimental effect to our business and results of operations.
Assistant: