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 intend to continue growing our tower portfolio, domestically and internationally, through acquisitions and new builds. Our ability to meet our growth targets significantly depends on our ability to build or acquire existing towers that meet our investment requirements. Traditionally, our acquisition strategy has focused on acquiring towers from smaller tower companies, independent tower developers, and wireless service providers. However, as a result of consolidation in the tower industry, there are fewer of these tower transactions available, and there is more competition to acquire existing towers. Increased competition for acquisitions may result in fewer acquisition opportunities for us, higher acquisition prices, and increased difficulty in negotiating and acquiring such towers. Furthermore, to the extent that the tower acquisition opportunities are for significant tower portfolios, some of our competitors and financial sponsors are significantly larger and have greater financial resources than we do. Finally, laws regulating competition, domestically and internationally, may limit our ability to acquire certain portfolios. As a result of these risks, the cost of acquiring these towers may be higher than we expect, or we may not be able to meet our annual and long-term tower portfolio growth targets. If we are not able to successfully address these challenges, we may not be able to materially increase our tower portfolio in the long-term through acquisitions.
Assistant: