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 compete for enrollment and sponsorship of our early education and child care centers in a highly-fragmented market. For enrollment, we compete with center-based child care (such as residential and worksite child care centers, full- and part-time nursery schools, private and public elementary schools and religious faith-affiliated and other not-for-profit providers) as well as family child care (operated out of the caregiver’s home). In addition, alternatives to organized child care, such as relatives and nannies caring for children, can represent lower cost options to our services. For sponsorship, we compete primarily with large community-based child care companies with divisions focused on employer sponsorship and with regional child care providers who target employer sponsorship. We believe that our ability to compete successfully depends on a number of factors, including quality of care, site convenience, breadth of service offering and cost. We often face a price disadvantage to our competition, which may have access to greater financial resources, greater name recognition or lower operating or compliance costs. In addition, certain competitors may be able to operate with little or no rental expense and sometimes do not comply or are not required to comply with the same health, safety, and operational regulations with which we comply. Therefore, we may be unable to continue to compete successfully against current and future competitors.
Assistant: