In this task you will be given a question and a passage. You need to determine if the answer to the question is contained in the passage. If the answer can be found in the passage you should output 'True'. If the answer cannot be found in the passage you should output 'False'.

Example Input: Passage: 'The Negev covers more than half of Israel, over some 13,000 km2 (4,700 sq mi) or at least 55% of the country's land area. It forms an inverted triangle shape whose western side is contiguous with the desert of the Sinai Peninsula, and whose eastern border is the Arabah valley. The Negev has a number of interesting cultural and geological features. Among the latter are three enormous, craterlike makhteshim (box canyons), which are unique to the region; Makhtesh Ramon, HaMakhtesh HaGadol, and HaMakhtesh HaKatan.'. Question: 'where did the song silent night come from'.
Example Output: False

Example Input: Passage: 'Washington (/ ˈwɒʃɪŋtən / (listen)), officially the State of Washington, is a state in the Pacific Northwest region of the United States. Named after George Washington, the first President of the United States, the state was made out of the western part of the Washington Territory, which was ceded by Britain in 1846 in accordance with the Oregon Treaty in the settlement of the Oregon boundary dispute. It was admitted to the Union as the 42nd state in 1889. Olympia is the state capital. Washington is sometimes referred to as Washington State to distinguish it from Washington, D.C., the capital of the United States, which is often shortened to Washington.'. Question: 'who is the state of washington named after'.
Example Output: True

Example Input: Passage: 'The main difference between cluster sampling and stratified sampling is that in cluster sampling the cluster is treated as the sampling unit so sampling is done on a population of clusters (at least in the first stage). In stratified sampling, the sampling is done on elements within each strata. In stratified sampling, a random sample is drawn from each of the strata, whereas in cluster sampling only the selected clusters are sampled. A common motivation of cluster sampling is to reduce costs by increasing sampling efficiency. This contrasts with stratified sampling where the motivation is to increase precision.'. Question: 'the difference between stratified sampling and cluster sampling'.
Example Output:
True