ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
In this work, we release the Shortest Path subgraph Question Answering (ShortPathQA) dataset, the first dataset that provides textual questions with pre-computed relevant subgraphs retrieved from the Wikidata Knowledge Graph (KG), standardizing the evaluation framework for Knowledge Graph Question Answering (KGQA). For this purpose, we utilize the Mintaka dataset for both training and testing and additionally create a manual question-answering subset for testing. Our baseline experiments with both supervised approaches and unsupervised Large Language Model (LLM) inference indicate that even a simplified KGQA formulation with given KG subgraphs and candidate answers remains challenging. Our analysis has shown that LLMs are unable to correctly process and utilize graph data structures without detailed prompt engineering or model tuning. This limitation highlights the need for the creation of this dataset as a training ground for the development of methods that enable LLMs to work more effectively with graph data.
Original language | English |
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Title of host publication | Natural Language Processing and Information Systems : 30th International Conference on Applications of Natural Language to Information Systems, NLDB 2025, Proceedings |
Editors | Ryutaro Ichise |
Number of pages | 16 |
Publisher | Springer Science and Business Media Deutschland |
Publication date | 2026 |
Pages | 95-110 |
ISBN (print) | 978-3-031-97140-2 |
ISBN (electronic) | 978-3-031-97141-9 |
DOIs | |
Publication status | E-pub ahead of print - 01.07.2025 |
Event | 30th International Conference on Natural Language and Information Systems - NLDB 2025 - Kanazawa, Japan Duration: 04.07.2025 → 06.07.2025 Conference number: 30 |
Bibliographical note
Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
- KGQA, Knowledge graphs, NLP, Question answering
- Informatics
Research areas
- Theoretical Computer Science
- General Computer Science