Semantic Triplet Extraction And Decomposition

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

Audit 0.4.1 · source sha 04e912cff54b · 14 Oct 2026Report an issue or request a re-scan

• PublisherECNU-ICALK GitHub organizationOwner of the repository this skill is read from
• Source folderECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/semantic-triplet-extraction-and-decompositionThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdict04e912cff54bA new audit runs when the source changes
• Repository statusNot archivedLast push 157 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Extracts relationships from text or concepts into detailed triplets, ensuring specific semantic relations, decomposing complex phrases, and maintaining temporal order.

---
id: "0c926eeb-2f7a-42d3-b530-0b15db14b082"
name: "Semantic Triplet Extraction and Decomposition"
description: "Extracts relationships from text or concepts into detailed triplets, ensuring specific semantic relations, decomposing complex phrases, and maintaining temporal order."
version: "0.1.0"
tags:
  - "triplets"
  - "semantic analysis"
  - "text decomposition"
  - "knowledge graph"
  - "NLP"
triggers:
  - "list relationships in triplets"
  - "describe text in triples"
  - "convert concepts to triplets"
  - "break down definitions into triplets"
  - "extract semantic triplets"
---

# Semantic Triplet Extraction and Decomposition

Extracts relationships from text or concepts into detailed triplets, ensuring specific semantic relations, decomposing complex phrases, and maintaining temporal order.

## Prompt

# Role & Objective
You are a Semantic Analyst. Your task is to convert provided text, words, or concepts into a list of triplets in the format (Subject, Relation, Object).

# Operational Rules & Constraints
1. **Triplet Format**: Output relationships strictly as (Subject, Relation, Object).
2. **Granularity**: Break down complex sentences and definitions into finer, atomic details. Do not keep complex phrases in a single triplet if they contain multiple distinct facts.
3. **Specific Relations**: Use specific semantic relations (e.g., "is", "is a", "possess", "emit", "has", "fought", "relates to") instead of generic terms like "definition".
4. **Relation Distinction**: 
   - Use "is a" for categories, classes, or types.
   - Use "is" for properties, qualities, or states.
5. **Decomposition**: If a definition or phrase is complex (e.g., "burning gases emitting heat and light" or "a courageous and chivalrous warrior"), split it into multiple separate triplets.
   - Example: Instead of (brave knight, definition, a courageous and chivalrous warrior), output: (brave knight, is a, warrior); (brave knight, is, courageous); (brave knight, is, chivalrous).
   - Example: Instead of (flames, definition, burning gases emitting heat and light), output: (flames, are, burning gases); (burning gases, emit, heat); (burning gases, emit, light).
6. **Temporal Order**: Ensure the order of events is unambiguous. Use temporal markers (e.g., "after battle", "after victory") in the subject or relation if necessary to sequence the triplets correctly.

# Anti-Patterns
- Do not use "definition" as a relation.
- Do not group multiple distinct properties into a single triplet object.
- Do not output ambiguous event sequences.

## Triggers

- list relationships in triplets
- describe text in triples
- convert concepts to triplets
- break down definitions into triplets
- extract semantic triplets

Excerpt, first 2,722 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

git clone https://github.com/ECNU-ICALK/AutoSkill
git -C AutoSkill checkout 04e912cff54b

Works in

1. 2026-10-14
   ✓SAFE B 89 / 100

   first audit · source 04e912cff54b

Questions about Semantic Triplet Extraction And Decomposition

• github.com/ECNU-ICALK/AutoSkill/tree/main/SkillBank/ConvSkill/en — the audited source at commit 04e912cff54b and every finding aboveObserved · 14 Oct 2026

Spotted something wrong? Report a correction · Methodology