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 rely heavily on third-party providers, including subcontractors, manufacturers, software vendors, software application developers, and utility and network providers, to meet their obligations to us in a timely and high-quality manner. For example, we rely on third parties such as the National Law Enforcement Telecommunications System, Polk, DMVDesk, CVR and Dealertrack to provide a direct connection to state departments of motor vehicles (and their European equivalents) and other governmental agencies with which we do not have direct relationships for the driver and other information we use in our business. Our ability to offer our solutions would be materially affected if this access was unavailable or materially restricted, or if the price we pay increased significantly. Our Government Solutions business also relies on a number of third-party manufacturers, including camera manufacturers and automated license plate recognition providers, and outsources some engineering, construction, maintenance, printing and mailing, call center, image review and event processing work. Further, if one or more tolling authorities cancels our accounts, or stops providing transponders and we are unable to obtain transponders through other sources, our Commercial Services business would be affected. Our Parking Solutions business also relies on a number of domestic and foreign third-party manufacturers in the production of our Pay Station, PARCS and PE hardware solutions, and our inability to access third-party providers could have a material adverse effect on our business.
Assistant: