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: We rely on third-party providers to fulfill delivery orders, and the ordering and payment platforms used by these third parties, or our mobile app or online ordering system, could be damaged or interrupted by technological failures, user errors, cyber-attacks or other factors, which may adversely impact our sales through these channels and could negatively impact our brand. Additionally, our delivery partners are responsible for order fulfillment and may make errors or fail to make timely deliveries, leading to customer disappointment that may negatively impact our brand. We also incur additional costs associated with using third-party service providers to fulfil these digital orders. Moreover, the third-party restaurant delivery business is intensely competitive, with a number of players competing for market share, online traffic, capital, and delivery drivers and other people resources. The third-party delivery services with which we work may struggle to compete effectively, and if they were to cease or curtail operations or fail to provide timely delivery services in a cost-effective manner, or if they give greater priority on their platforms to our competitors, our delivery business may be negatively impacted. We have also introduced catering offerings on both a pick-up and delivery basis, and customers may choose our competitors’ catering offerings over ours, be disappointed with their experience with our catering, or experience food safety problems if they do not serve our food in a safe manner, which may negatively impact us. Such delivery and catering offerings also increase the risk of illnesses associated with our food because the food is transported and/or served by third parties in conditions we cannot control.
Assistant: