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 regard our intellectual property as important to our success, and we rely on intellectual property such as trademarks, copyrights, patents, and trade secrets to support our business as well as domain names or other intangible rights or property secured through purchase, licensing or other agreements with our employees, travel service providers, partners, and other parties. We have filed applications for protection of certain aspects of our intellectual property in the United States and other jurisdictions, and we currently hold a number of issued patents in several jurisdictions. In the future we may acquire additional intellectual property portfolios, which could require significant cash expenditures. However, we may choose not to register or otherwise protect some of our intellectual property and instead rely on trade secret or other means of protection. We have licensed in the past, and may license in the future, certain of our proprietary rights, such as trademarks or copyrighted material, to third parties, and these licensees may take actions that diminish the value of our proprietary rights or harm our reputation. We also have procured various intellectual property licenses from third parties. There is uncertainty about the validity and enforceability of intellectual property rights that may result from our use of generative AI. Effective intellectual property protection may not be available in every country in which our services are made available, particularly in certain jurisdictions in which we operate in which theft of intellectual property may be more prevalent. We may be required to expend significant time and resources to prevent infringement or to enforce our intellectual property rights.
Assistant: