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 raw materials and commodities used by our suppliers and manufacturers include tree fiber, merino wool, sugarcane, castor bean oil, natural rubber, recycled plastic bottles, and paper products. Our suppliers and manufacturers’ costs for raw materials and commodities are affected by, among other things, weather, consumer demand, rising interest rates, inflation, speculation on the commodities market, the relative valuations and fluctuations of the currencies of producer versus consumer countries, and other factors that are generally unpredictable and beyond our control. In addition, if key suppliers, the footwear and apparel industry, or a group of countries adopt and enforce carbon pricing, then the price of raw materials and commodities could increase. Increases in the cost of raw materials have had and could continue to have a material adverse effect on our cost of revenue, results of operations, financial condition, and cash flows. As a result, this may have an impact on pricing of our products. For example, in August 2021, we implemented a slight price increase in certain of our products, and had further price increases in March 2022. It is uncertain if we will have to consider additional future price increases in our products as a result of increases in the cost of raw materials and supplies, partially due to the current inflationary environment. If we continue increasing the prices of our products, this may adversely impact demand for our products by our customers.
Assistant: