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: For example, we generate approximately 10% of our annual sales from Greater China. Accordingly, our business, financial condition and results of operations may be adversely influenced by evolving political, economic and social conditions in China generally. China’s government continues to play a significant role in regulating industry development by imposing industrial policies, and it maintains control over China’s economic growth through setting monetary policy and determining treatment of particular industries or companies. For example, China has implemented volume-based procurement policies, a series of centralized reforms instituted in China on both a national and regional basis that has resulted in significant price cuts for medical and dental consumables. Further, considerable uncertainty exists regarding the long-term effects of the expansionary monetary and fiscal policies adopted by the central banks and financial authorities of some of the world’s leading economies, including the U.S. and China. Any uncertainty or adverse changes to economic conditions in China or the policies of China’s government or its laws and regulations could have a material adverse effect on the overall economic growth of China and could impact our business and operating results, leading to a reduction in demand for our products and adversely affecting our business, growth rate, competitive position, results of operations and financial condition.
Assistant: