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: Our ability to continue to develop and grow our business, build proprietary distribution channels and generate revenues from product sales and royalty payments may be adversely affected by global economic conditions in the future, including instability in credit markets, declining consumer and business confidence, fluctuating commodity prices and interest rates, volatile exchange rates and other challenges that could affect the global economy such as the changing financial regulatory environment. For example, our customers and licensees may experience deterioration of their businesses, cash flow shortages or difficulties obtaining financing, which could adversely affect the demand for our technologies, products and services. In addition, our earnings may be adversely affected by fluctuations in the price of certain commodities, such as grains, milk, meat, biofuels and biomaterials. If commodity prices are negatively impacted, the value of our products could be directly and negatively impacted. Additionally, growers’ incomes have historically been negatively affected by commodity prices. As a result, fluctuations in commodity prices could have an impact on growers’ purchasing decisions and negatively affect their ability and decisions to purchase our seeds or products that incorporate our proprietary technology. We cannot anticipate all of the ways in which the current economic climate and financial market conditions could adversely impact our business.
Assistant: