Agentic AI Reference Architecture

Knowledge & Data · Software component

Dependency-Parse Relation Extractor

Software componentKnowledge & DataKnowledge & Dataarc:DependencyParseRelationExtractor

A rule-based relation extractor deriving triples from subject-verb-object patterns in a syntactic dependency parse.

Responsibility. Derives relationship triples from syntactic dependency patterns.

Also known as: Rule-based Relation Extraction

Variant of Relation Extractor abstract

When to choose. Choose as a reliable baseline for explicit subject-verb-object relationships; it misses implicit relationships stated without verbs.

specializesalternative toRelation Extractor: specializesRelation ExtractorNeural Relation Extractor: alternative toNeural Relation Extractor
Direct neighbourhood (hover for relationship types)

Relationships

alternative to variability

Classification

Patterns
Subject-verb-object extraction
Technologies
spaCy dependency parser
Quality attributes
Reliability (ISO/IEC 25010 | NIST AI RMF: valid and reliable)

Sources

  1. Ch1.7A: T. Nguyen, "Relational Reasoning with Knowledge Graphs - The Fundamentals, Integration, and Extraction," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 1.7A. ISBN: 9798244538229.