---
id: "cdebb55b-75ce-4e77-88bd-7d288f3c253b"
name: semantic-triplet-extraction-and-decomposition-e2a702a82b99
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


---
Source attribution: ECNU-ICALK
Original project: https://github.com/ECNU-ICALK/AutoSkill
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: ECNU-ICALK
Original project: https://github.com/ECNU-ICALK/AutoSkill
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics
Roles: Data Analyst, Data Scientist, Market Research Analyst
Specialties: API, Cross Platform
Tools: Knowledge Graph
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: c5e2c41f9f63c0f03e8cbd19b031be910fe006edb7a853114451d6c8c121a5e9