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: arly all of the secondhand items we offer through our marketplaces are initially sourced from sellers who are individuals. As a result, we may be subject to periodic fluctuations in the number, brands and quality of secondhand items sold through our marketplaces. Our results of operations could be negatively impacted by these fluctuations. In addition, as we expand into new categories of secondhand items, our payments to our sellers may rise relative to our existing categories, which could adversely affect our results of operations. We can make no assurance that secondhand items we receive from sellers will be of sufficient quality or free from damage, or that such secondhand items will not be damaged during shipping, while in one of our distribution centers or when shipped to buyers. While we conduct inspections of secondhand items sent by sellers for resale and inspect secondhand items returned by buyers, we cannot control items while they are out of our possession or prevent all damage while in our distribution centers. For example, we have in the past and may in the future experience contamination, such as mold, bacteria, insects and other pests, in the secondhand items shipped to us by our sellers, which may cause contamination of the secondhand items in our distribution centers or while shipping to buyers. If we are unable to detect and quarantine such contaminants at the time such secondhand items are initially received in our distribution centers, some or all of the secondhand items in such facilities could be contaminated. We may incur additional expenses and our reputation could be harmed if the secondhand items we offer are damaged or contain contaminants.
Assistant: