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 are subject to a wide range of legislative, regulatory, accounting and tax rules. The costs and efforts of compliance with these laws, or of defending against actions brought to enforce them, could adversely affect us. In addition, if there are changes to the laws, regulations or administrative decisions and actions that affect us, we may have to incur significant expenses in order to comply, or we may have to restrict or change our operations. We have invested, and expect to continue to invest, in real property assets which are subject to laws and regulations relating to the protection of the environment and human health and safety. These laws and regulations generally govern wastewater discharges, noise levels, air emissions, the operation and removal of underground and above-ground storage tanks, the use, storage, treatment, transportation and disposal of solid and hazardous materials and the remediation of contamination associated with disposals. Environmental laws and regulations may impose joint and several liabilities on tenants, owners or operators for the costs to investigate and remediate contaminated properties, regardless of fault or whether the acts causing the contamination were legal. This liability could be substantial. In addition, the presence of hazardous substances, or the failure to properly remediate these substances, could adversely affect our ability to sell, rent or pledge an affected property as collateral for future borrowings. We intend to take commercially reasonable steps when we can to protect ourselves from the risks of environmental law liability; however, we may not obtain independent third-party environmental assessments for every property we acquire. In addition, any such assessments that we do obtain may not reveal all environmental liabilities, or whether a prior owner of a property created a material environmental condition not known to us. In addition, there are various local, state and federal fire, health, safety and similar regulations with which we may be required to comply, and that may subject us to liability in the form of fines or damages. In all events, the existing condition of land when we buy it, operations in the vicinity of our properties or activities of unrelated third parties could all affect our properties in ways that lead to costs being imposed on us.
Assistant: