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 industry is characterized by the existence of a large number of patents and frequent claims and related litigation regarding patents, copyrights (including rights to “open source” software) and other intellectual property rights. As we have grown, we have, and may continue to, experience greater revenues and increased public visibility, which may cause competitors, customers, and governmental authorities to be more likely to initiate litigation against us. Because of the existence of a large number of patents in the networking field, the secrecy of some pending patents and the issuance of new patents at a rapid pace, it is not possible to determine in advance if a product or component might infringe the patent rights of others. Because of the potential for courts awarding substantial damages, or internationally prohibiting us from exporting our products, in the case of China, or importing our products, in the case of Germany, the lack of predictability of such awards and the high legal costs associated with the defense of such patent infringement matters that would be expended to prove lack of infringement, it is not uncommon for companies in our industry to settle even potentially unmeritorious claims for very substantial amounts. Furthermore, the entities with whom we have or could have disputes or discussions include entities with extensive patent portfolios and substantial financial assets. These entities are actively engaged in programs to generate substantial revenues from their patent portfolios and are seeking or may seek significant payments or royalties from us and others in our industry.
Assistant: