[mlir][transform][tutorial] Fix typo in inline code snippet. (NFC)

[ingomueller-net]

Trivial doc-only change: self-approving.

mlir/docs/Tutorials/transform/Ch3.md

 # Chapter 3: More than Simple Transform Operations
 
 ## Type Constraints and ApplyEach Trait
 
-A transform operation that applies to each payload operation individually and requires it to be of a specific kind is a repeated pattern. One can use Transform dialect types to specify the preconditions of the type. Specifically, we can change the expected operand type from the wide `TransformHandleTypeInterface` to the more narrow `Transform_ConcreteOp<"func.call">`. Furthermore, we use the `TransformEachOpTrait` trait to provide the skeleton implementation of the `apply` method that performs verification, iteration over payloads and result concatenation. The improved ODS op definition is as follows.
+A transform operation that applies to each payload operation individually and requires it to be of a specific kind is a repeated pattern. One can use Transform dialect types to specify the preconditions of the type. Specifically, we can change the expected operand type from the wide `TransformHandleTypeInterface` to the more narrow `Transform_ConcreteOp<"func.call">`. Furthermore, we use the `TransformEachOpTrait` trait to provide the skeleton implementation of the `apply` method that performs verification, iteration over payloads and result concatenation. The improved ODS op definition is as follows.
 
 ```tablegen
 // In MyExtension.td.
 
 // Define the new operation. By convention, prefix its name with the name of the dialect extension, "my.". The full operation name will be further prefixed with "transform.".
 def ChangeCallTargetOp : Op<Transform_Dialect, "my.change_call_target",
     // Indicate that the operation implements the required TransformOpInterface and
     // MemoryEffectsOpInterface. Use the TransformEach trait to provide the