如何使用CoreNLP的4类NER标签器？

Properties props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner");
StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

String text = "John Smith works at Google.";
Annotation document = new Annotation(text);
pipeline.annotate(document);

List<CoreMap> sentences = document.get(CoreAnnotations.SentencesAnnotation.class);
for (CoreMap sentence : sentences) {
    for (CoreLabel token : sentence.get(CoreAnnotations.TokensAnnotation.class)) {
        String word = token.get(CoreAnnotations.TextAnnotation.class);
        String nerTag = token.get(CoreAnnotations.NamedEntityTagAnnotation.class);
        System.out.println("Word: " + word + ", NER Tag: " + nerTag);
    }
}