remove note about JIRA

Project: http://git-wip-us.apache.org/repos/asf/beam-site/repo
Commit: http://git-wip-us.apache.org/repos/asf/beam-site/commit/ae9e8886
Tree: http://git-wip-us.apache.org/repos/asf/beam-site/tree/ae9e8886
Diff: http://git-wip-us.apache.org/repos/asf/beam-site/diff/ae9e8886

Branch: refs/heads/asf-site
Commit: ae9e8886836f2f4da455fe3fe65659cbb8e2198a
Parents: 6c6213a
Author: Dan Halperin <[email protected]>
Authored: Thu May 25 14:01:24 2017 -0700
Committer: Dan Halperin <[email protected]>
Committed: Thu May 25 14:01:24 2017 -0700

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 src/get-started/wordcount-example.md | 2 --
 1 file changed, 2 deletions(-)
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http://git-wip-us.apache.org/repos/asf/beam-site/blob/ae9e8886/src/get-started/wordcount-example.md
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diff --git a/src/get-started/wordcount-example.md 
b/src/get-started/wordcount-example.md
index 73e4da8..cf0ebc0 100644
--- a/src/get-started/wordcount-example.md
+++ b/src/get-started/wordcount-example.md
@@ -27,8 +27,6 @@ Each WordCount example introduces different concepts in the 
Beam programming mod
 * **Debugging WordCount** introduces logging and debugging practices.
 * **Windowed WordCount** demonstrates how you can use Beam's programming model 
to handle both bounded and unbounded datasets.
 
-> Note: The instructions on this page, for how to run the WordCount examples, 
have not yet been verified for all runners. (See the Jira issues for the 
[direct](https://issues.apache.org/jira/browse/BEAM-2348), 
[Apex](https://issues.apache.org/jira/browse/BEAM-2349), 
[Spark](https://issues.apache.org/jira/browse/BEAM-2350), and 
[Dataflow](https://issues.apache.org/jira/browse/BEAM-2351) runners).
-
 ## MinimalWordCount
 
 Minimal WordCount demonstrates a simple pipeline that can read from a text 
file, apply transforms to tokenize and count the words, and write the data to 
an output text file. This example hard-codes the locations for its input and 
output files and doesn't perform any error checking; it is intended to only 
show you the "bare bones" of creating a Beam pipeline. This lack of 
parameterization makes this particular pipeline less portable across different 
runners than standard Beam pipelines. In later examples, we will parameterize 
the pipeline's input and output sources and show other best practices.

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