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sub:assertion {
  <https://doi.org/10.48550/arXiv.2512.19092> dct:title "A Large Language Model Based Method for Complex Logical Reasoning over Knowledge Graphs";
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#ROG>;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#BetaE>,
      <https://neverblink.eu/ontologies/llm-kg/methods#CQD>, <https://neverblink.eu/ontologies/llm-kg/methods#GQE>,
      <https://neverblink.eu/ontologies/llm-kg/methods#Query2Box>;
    a prov:Entity .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#BetaE> a <http://purl.org/spar/fabio/Workflow>;
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    rdfs:label "CQD" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#GQE> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "GQE" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#Query2Box> a <http://purl.org/spar/fabio/Workflow>;
    rdfs:label "Query2Box" .
  
  <https://neverblink.eu/ontologies/llm-kg/methods#ROG> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGQuestionAnswering>;
    a <http://purl.org/spar/fabio/Workflow>;
    rdfs:comment "ROG is a framework designed to improve complex logical reasoning over knowledge graphs using LLMs. It achieves this by decomposing FOL queries, retrieving query-relevant subgraphs, and employing LLM-based chain-of-thought reasoning to answer these queries step-by-step. The method directly enhances a KG task (answering complex logical queries) by leveraging LLM capabilities.";
    rdfs:label "ROG (Reasoning Over knowledge Graphs with large language models)";
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG> .
}

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