The most common use case for named entity recognition is when you’re aggregating job listings where you’d like to classify the text and separately tag strings as “location”, “organization”, “job type” and the like.
Named entity extraction is useful whenever you need such essentials in your extracted text to be marked up for further processing and analysis, irrespective of the size of your dataset. The data still gets delivered in the same manner in a custom schema agreed upon beforehand.