Named entity recognition (NER) features
The features for a token in a NER algorithm are usually binary. i.e The feature exists or it does not. For example, a token (say the word 'hello'), is all lower case. Therefore, that is a feature for that word.

You could name the feature 'IS_ALL_LOWERCASE'.

Now, for POS tags, lets take the word 'make'. It is a verb and hence the feature "IS_VERB" is a feature for that word.

A gazetter can be used to generate features. The presence (or absence) of a word in the gazatter is a valid feature. Example: the word 'John' is present in the gazetter of Person names. so "IS_PERSON_NAME" can be a feature.