Task: Question Generation
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: Ian had a busy day storing XML. At 4 PM, he stored 11100 Gigabytes to the database. At 5 PM, he stored 22200 Gigabytes to the database. At 6 PM, he stored 33300 Gigabytes to the database. At 7 PM, he got dinner. At 8 PM, he stored 44400 Gigabytes to the database. At 9 PM, he stored 55500 Gigabytes to the database. At 10 PM, he went to sleep to finish storing XML in the morning.
Output (English): What time did storage costs go up:  9 PM or 10 PM?