Which IBM Watson Natural Language Understanding service helps identify Subject-Action-Object triples in unstructured text?

The service that helps identify Subject-Action-Object triples in unstructured text is Semantic Roles. This functionality focuses on understanding the roles that different elements play within a sentence, allowing the extraction of meaningful components such as subjects, actions, and objects. By analyzing the grammatical structure and semantic relationships in the text, it can accurately determine how different nouns relate to verbs, ultimately revealing the underlying meaning behind sentences.

This is particularly valuable in natural language processing as it enhances comprehension of unstructured data, making it easier to conduct analyses, derive insights, or create structured outputs from the textual information. Other options, while beneficial in their own capacities, serve different purposes; for example, keywords are designed to identify important terms or phrases within text, categories tackle broader classification tasks, and linked data support refers to the ability to connect data with external datasets for enriched context. None of these specifically focus on dissecting the Subject-Action-Object relationships like Semantic Roles does.