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 the risks associated with natural disasters and the physical effects of climate change, including more frequent or severe storms, droughts, hurricanes, flooding, earthquakes, wildfires, power shortages or outages and extreme temperatures, any of which could have a material adverse effect on our hotels, operations and business including, but not limited to, by damaging properties, by increasing the costs associated with our properties, or by decreasing the attractiveness of certain locations. For example, lodging demand in Maui, one of our largest markets by revenues, was significantly impacted by wildfires in 2023, and a majority of our hotels in Florida were affected by Hurricane Ian, which made landfall on September 28, 2022, with the most significant damage occurring at The Ritz-Carlton, Naples and the Hyatt Regency Coconut Point Resort and Spa. While the Hyatt Regency Coconut Point Resort and Spa re-opened to hotel guests in November 2022, as part of a phased reopening, the Ritz Carlton, Naples remained closed until July 2023. That hotel sustained significant damage due to storm surge, which breached the beach dune and flooded the lowest level of the hotel. Over time, our coastal markets also are expected to continue to experience increases in storm intensity and rising sea levels causing damage to our hotels. As a result, we could become subject to significant losses and/or repair costs that may or may not be fully covered by insurance. Other markets such as Arizona may experience prolonged variations in temperature or precipitation that may limit access to the water needed to operate our hotels or significantly increase energy costs, which may subject those hotels to additional regulatory burdens, such as limitations on water usage or stricter energy efficiency standards. Climate change also may affect our business by increasing the cost of (or making unavailable) property insurance on terms we find acceptable in areas most vulnerable to such events, increasing operating costs at our hotels, such as the cost of water or energy, and requiring us to expend funds as we seek to repair and protect our hotels against such risks. In addition, changes in government legislation and regulation on climate change could result in increased capital expenditures to improve the energy efficiency of our properties. There can be no assurance that climate change will not have a material adverse effect on our hotels, operations or business.
Assistant: