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: Our third-party managers are responsible for hiring, maintaining and managing the labor force at each of our hotels. We do not directly employ or manage employees at our consolidated hotels (other than employing, but not managing, directing or supervising, the employees at our three hotels in Brazil). However, we remain subject to many of the costs and risks generally associated with the hotel labor force, particularly at those hotels with unionized labor. From time to time, hotel operations may be disrupted because of strikes, lockouts, public demonstrations or other negative actions and publicity. In 2024, collective bargaining agreements will expire at hotels in Seattle, San Francisco and Washington, D.C. Those negotiations potentially could result in disruptions in operations and additional costs. We also may incur increased legal costs and indirect labor costs because of disputes involving our third-party managers and their labor force. The resolution of labor disputes or re-negotiated labor contracts could lead to increased labor costs, which is a significant component of our hotel operating costs, either by increases in wages or benefits or by changes in work rules that raise hotel operating costs. As we are not the employer nor bound by any collective bargaining agreement, we do not negotiate with any labor organization, and it is the responsibility of each hotel’s manager to enter into such labor contracts. Our ability, if any, to have any meaningful impact on the outcome of these negotiations is restricted by and dependent on the management agreement covering a specific hotel and we may have little or no ability to control the outcome of these negotiations.
Assistant: