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: As of December 31, 2021, approximately 53% of our employees were covered by collective bargaining agreements in the U.S. or similar employment and labor obligations in other countries in which we conduct business. The terms of these agreements limit our discretion in the management of covered employees and our ability to nimbly implement changes to meet business needs. In addition, our employees in certain countries in Europe are subject to works council arrangements, exposing us to potential delays in implementing changes, works council claims and litigation. There can be no assurance that our non-unionized employees will not become members of a union or become covered by a collective bargaining agreement, including through an acquisition of a business whose employees are subject to such an agreement. Certain of our unionized employees have participated in strikes and work stoppages in the past, and we cannot be certain that strikes or work stoppages will not occur in the future. In the current inflationary environment, negotiations over union wage rates or increase in benefits may slow or derail contract renegotiations, which may lead to potential strikes or work stoppages. Strikes or work stoppages could adversely impact relationships with our customers and could cause us to lose business and experience a decline in revenues. Our ability to complete future acquisitions also could be adversely affected because of our union status. For instance, our union agreements may be incompatible with the union agreements of a business we want to acquire, and some acquisition targets may decline to become affiliated with a union-based company. Moreover, certain of our customers, where permissible by law, may require or prefer a non-union workforce, and they may reduce the amount of work assigned to us if our non-union labor crews become unionized, which could negatively affect our business, consolidated financial condition, results of operations and cash flows.
Assistant: