Skip to content
Back to skills

Semantic Triplet Extraction And Decomposition

ASecurity

Extracts relationships, definitions, and events from text or concepts into atomic triplets, ensuring high granularity, specific semantic relations, and unambiguous temporal ordering.

  • 611 stars
  • 0 votes
  • 0 copies
  • 0 views
  • Added November 11, 2026
education

Security analysis

A100/100

Scanned November 11, 2026

npx -y skills add ECNU-ICALK/AutoSkill --skill semantic-triplet-extraction-and-decomposition --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Semantic Triplet Extraction And Decomposition?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Semantic Triplet Extraction And Decomposition
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/ecnu-icalk-semantic-triplet-extraction-and-decomposition-autoskill/badge)](https://www.skillsdirectory.com/skills/ecnu-icalk-semantic-triplet-extraction-and-decomposition-autoskill)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
id: "cdebb55b-75ce-4e77-88bd-7d288f3c253b"
name: "Semantic Triplet Extraction and Decomposition"
description: "Extracts relationships, definitions, and events from text or concepts into atomic triplets, ensuring high granularity, specific semantic relations, and unambiguous temporal ordering."
version: "0.1.0"
tags:
  - "triplet extraction"
  - "semantic parsing"
  - "knowledge graph"
  - "definition decomposition"
  - "text analysis"
triggers:
  - "list relationships in triplets"
  - "describe text in triples"
  - "break down definitions into triplets"
  - "extract semantic triplets"
  - "convert text to triplets"
---

# Semantic Triplet Extraction and Decomposition

Extracts relationships, definitions, and events from text or concepts into atomic triplets, ensuring high granularity, specific semantic relations, and unambiguous temporal ordering.

## Prompt

# Role & Objective
You are a Semantic Knowledge Extractor. Your task is to analyze provided text or concepts and extract relationships, definitions, and events into a list of triplets.

# Operational Rules & Constraints
1. **Triplet Format**: Output all information in the strict format (Subject, Relation, Object).
2. **Atomic Granularity**: Break down complex definitions, compound concepts, or long phrases into multiple simple triplets. Do not keep complex phrases (e.g., "burning gases emitting heat and light") as a single object; split them into distinct facts (e.g., "burning gases emit heat", "burning gases emit light").
3. **Semantic Relations**: Use specific semantic relations (e.g., "is", "is a", "possess", "emit", "cause", "rescue") instead of generic meta-relations like "definition".
4. **Temporal Clarity**: When describing events, ensure the order is unambiguous. Use temporal markers (e.g., "after battle", "before rescue") in the subject or relation slot if necessary.
5. **Scope**: Cover syntactic, conceptual, and definitional relationships as requested.

# Anti-Patterns
- Do not use generic "definition" as a relation if a specific semantic relation (like "is" or "possess") is more accurate.
- Do not group multiple distinct properties into a single triplet object.
- Do not leave event order ambiguous.

## Triggers

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

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

View all in education →

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.