App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 9

Method for constructing time-sensitive legal knowledge graph based on large language models

Guo Shuanga
Li Dapenga
Wang Yongshenga
Peng Gaojuna
Zhang Yanjuna
Su Yab
a. College of Intelligent Science and Technology, b. School of Humanities, Inner Mongolia University of Technology, Hohhot 010080, China
DOI: 10.19734/j.issn.1001-3695.2026.02.0024

Abstract

Existing legal knowledge graph construction methods mainly focus on static triple extraction. They lack explicit modeling of the enforcement time of legal provisions and struggle to handle knowledge changes caused by legal revisions. This paper proposed LKGC, a time-sensitive Legal Knowledge Graph Construction method based on Large Language Models (LLMs) . LKGC redefined legal knowledge graph construction as a time-sensitive quadruple construction task constrained by a legal ontology. It introduced the enforcement time of legal provisions beyond entities, relations and attributes. It also used constrained prompt construction, quadruple extraction and iterative correction to construct structured legal knowledge and correct temporal information. Experimental results on a self-built legal knowledge graph dataset showed that LKGC achieved F1 scores of 84.36%, 77.96%, 92.46% and 73.36% in entity, relation, time and quadruple extraction tasks, respectively. It reached accuracy rates of 77.24%, 73.86% and 68.61% in single-revision, double-revision and multi-revision update scenarios, respectively. The results show that LKGC improves temporal modeling and correction capability in legal knowledge graph construction and provides structured support for legal knowledge timeliness alignment.

Foundation Support

国家自然科学基金资助项目(62366039)
内蒙古自治区自然科学基金资助项目(2023QN06010)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.02.0024
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 9

Publish History

[2026-06-02] Accepted Paper

Cite This Article

郭爽, 李大鹏, 王永生, 等. 基于大语言模型的时效性法律知识图谱构建方法 [J]. 计算机应用研究, 2026, 43 (9). (2026-06-02). https://doi.org/10.19734/j.issn.1001-3695.2026.02.0024. (Guo Shuang, Li Dapeng, Wang Yongsheng, et al. Method for constructing time-sensitive legal knowledge graph based on large language models [J]. Application Research of Computers, 2026, 43 (9). (2026-06-02). https://doi.org/10.19734/j.issn.1001-3695.2026.02.0024. )

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  • Application Research of Computers Monthly Journal
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    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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