Task: Question Answering
Input (English): Background Paragraph: Storing large volumes of data – When storing XML to either file or database, the volume of data a system produces can often exceed reasonable limits, with a number of detriments: the access times go up as more data is read, CPU load goes up as XML data takes more power to process, and storage costs go up. By storing XML data in Fast Infoset format, data volume may be reduced by as much as 80 percent. 
Story: Tom had a busy day storing XML. At 2 PM, he stored 10 Gigabytes to the database. At 3 PM, he stored 20 Gigabytes to the database. At 4 PM, he stored 30 Gigabytes to the database. At 5 PM, he got dinner. At 6 PM, he stored 40 Gigabytes to the database. At 7 PM, he stored 50 Gigabytes to the database. At 8 PM, he went to sleep to finish storing XML in the morning. 
Question: What time did CPU load go up: 2 PM or 5 PM?
Output (English): 2 PM.