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: The demand for our workforce solutions is highly dependent upon the state of the economy and the workforce needs of our clients, which creates uncertainty and volatility in our operations. Our profitability is sensitive to decreases in demand. National and global economic activity is slowed by many factors, including rising interest rates, recessionary periods, inflation, political and legislative changes, international conflict or instability, epidemics, other significant health concerns, and global trade uncertainties. As economic activity slows, companies tend to reduce their use of associates and recruitment of new employees. We work in a broad range of industries that primarily include construction, manufacturing and logistics, warehousing and distribution, waste and recycling, energy, transportation, retail and hospitality. Significant declines in demand from any region or industry in which we have a major presence, domestic or global supply chain disruptions, or decline in the financial health of our clients, significantly decreases our revenues and profits. For example, we experienced significantly reduced demand from our clients due to the coronavirus pandemic (“COVID-19”) and the resulting supply chain disruptions in the manufacturing and renewable energy sectors we serve. The extent to which global pandemics impact our financial condition or results of operations will depend on factors such as the duration and scope of the pandemic, as well as whether there is a material impact on the businesses or productivity of our clients, employees, associates and other partners.
Assistant: