Official skill · AI practice

Knowledge graph from documents

v1.0.0 · Updated 4 November 2026

Extracts entities and relationships from documents into triples with source quotes and confidence, merged names, a CSV-ready table, and a Mermaid diagram. Use it when you want to map people, companies, and products across many documents.

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When to use it

You want to map people, companies, and products across many documents
You need a CSV for a graph tool or a RAG system

What you give it

Documents or pasted text
Entity types and relationships that matter
Existing list of canonical names (optional)

What you get

An entity table, a triple table with quotes and confidence, a Mermaid diagram, and open questions about duplicates.

How it works

Fix the entity types and predicates first Write them as a short list: types in singular nouns (Person, Company, Product, Project), predicates as lowercase verb phrases (works_at, uses, owns, reports_to). Use one predicate per meaning; "employed by" and "works at" both become works_at.
Extract triples sentence by sentence Only what a sentence states. Each triple: subject, predicate, object, the exact source quote (under 25 words), the document and location. Don't infer relationships from proximity ("mentioned in the same paragraph" is not a relationship).
Grade confidence High: stated directly ("Mia leads Project Orbit"). Medium: stated but hedged or indirect ("Mia seems to be running Orbit now"). Low: implied by context. Our default: keep low-confidence triples in the table but out of the diagram.
Merge duplicates into canonical names Group variants ("Acme", "ACME Corp.", "Acme Corporation") under one canonical name and record the aliases. Different things with the same name get a qualifier ("Mercury (project)", "Mercury (vendor)"). When unsure whether two names are the same entity, keep them separate and list the question.
Check for conflicts Two triples that can't both be true (Mia reports_to Jon; Mia reports_to Ana) are flagged with both sources and dates. Prefer the newer source only if the documents are dated; otherwise leave it open.
Write the outputs An entity table, a triple table in CSV-ready form (no merged cells, one row per triple), and a Mermaid flowchart of high and medium triples. In Mermaid, put labels with spaces or parentheses in double quotes, and never use the bare word "end" as a node id.

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