sub:assertion {
  <https://doi.org/10.48550/arXiv.2511.11017> dct:title "AI Agent-Driven Framework for Automated Product Knowledge Graph Construction in E-Commerce" ;
    <http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#AiAgentDrivenFramework> ;
    <http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#BiEtAlCodeKGC> , <https://neverblink.eu/ontologies/llm-kg/methods#CuiEtAlKGICL> , <https://neverblink.eu/ontologies/llm-kg/methods#GrapherMethod> , <https://neverblink.eu/ontologies/llm-kg/methods#KommineniEtAlKGPipeline> , <https://neverblink.eu/ontologies/llm-kg/methods#LairgiEtAliText2KG> , <https://neverblink.eu/ontologies/llm-kg/methods#NingEtAlFactualExtraction> , <https://neverblink.eu/ontologies/llm-kg/methods#XieEtAlPromptKG> , <https://neverblink.eu/ontologies/llm-kg/methods#XuEtAlProductKGEmbedding> , <https://neverblink.eu/ontologies/llm-kg/methods#YaoEtAlKGLLM> , <https://neverblink.eu/ontologies/llm-kg/methods#ZhangEtAlEDCFramework> , <https://neverblink.eu/ontologies/llm-kg/methods#ZhuEtAlAutoKG> ;
    a prov:Entity .
  <https://neverblink.eu/ontologies/llm-kg/methods#AiAgentDrivenFramework> dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#LLMAugmentedKGConstruction> ;
    a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "This framework uses LLM-powered agents to automate the entire process of Knowledge Graph construction. It involves three main stages: ontology creation and expansion (entity/relation discovery), ontology refinement (schema improvement), and knowledge graph population (instance extraction) from unstructured product descriptions, directly addressing KG construction tasks." ;
    rdfs:label "AI Agent-Driven Framework" ;
    <https://neverblink.eu/ontologies/llm-kg/hasTopCategory> <https://neverblink.eu/ontologies/llm-kg/top-categories#LLMAugmentedKG> .
  <https://neverblink.eu/ontologies/llm-kg/methods#BiEtAlCodeKGC> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "Presented by Bi et al., CodeKGC is a method that employs code LLMs and schema-aware prompts for generative KG tasks, enhanced by rationale-based generation." ;
    rdfs:label "CodeKGC" .
  <https://neverblink.eu/ontologies/llm-kg/methods#CuiEtAlKGICL> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "Proposed by Cui et al., KG-ICL is a method that combines in-context learning with a prompt graph and unified tokenization to achieve strong generalization across various KG tasks." ;
    rdfs:label "KG-ICL" .
  <https://neverblink.eu/ontologies/llm-kg/methods#GrapherMethod> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "Grapher is discussed as a method that generates end-to-end KGs by dividing tasks into entity and relation extraction using pre-trained Language Models." ;
    rdfs:label "Grapher" .
  <https://neverblink.eu/ontologies/llm-kg/methods#KommineniEtAlKGPipeline> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "This method is mentioned as a prior LLM-based pipeline that aims to minimize human intervention in KG construction by incorporating competency-question-based ontology generation and LLM-driven evaluation." ;
    rdfs:label "Kommineni et al.'s Pipeline" .
  <https://neverblink.eu/ontologies/llm-kg/methods#LairgiEtAliText2KG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "Proposed by Lairgi et al., this method is presented as a zero-shot, plug-and-play system for distilling unstructured input into KGs with minimal post-processing." ;
    rdfs:label "iText2KG" .
  <https://neverblink.eu/ontologies/llm-kg/methods#NingEtAlFactualExtraction> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "This method by Ning et al. explores factual knowledge extraction for KGs via prompt templates and parameter tuning to improve accuracy." ;
    rdfs:label "Ning et al.'s Factual Knowledge Extraction" .
  <https://neverblink.eu/ontologies/llm-kg/methods#XieEtAlPromptKG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "Xie et al. introduced PromptKG, a toolkit designed to integrate prompt-learning methods for various Knowledge Graph applications." ;
    rdfs:label "PromptKG" .
  <https://neverblink.eu/ontologies/llm-kg/methods#XuEtAlProductKGEmbedding> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "This embedding method, proposed by Xu et al., is tailored for product KGs and uses multimodal data to enhance KG completion and recommendation tasks." ;
    rdfs:label "Xu et al.'s Embedding Method" .
  <https://neverblink.eu/ontologies/llm-kg/methods#YaoEtAlKGLLM> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "This method, presented by Yao et al., utilizes entity/relation prompts for triple classification and relation prediction, focusing on Knowledge Graph completion tasks." ;
    rdfs:label "KG-LLM" .
  <https://neverblink.eu/ontologies/llm-kg/methods#ZhangEtAlEDCFramework> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "This method, proposed by Zhang et al., is discussed as a prior LLM-based approach for automated KG construction, which separates open information extraction, schema creation, and canonicalization." ;
    rdfs:label "EDC Framework" .
  <https://neverblink.eu/ontologies/llm-kg/methods#ZhuEtAlAutoKG> a <http://purl.org/spar/fabio/Workflow> ;
    rdfs:comment "This framework, introduced by Zhu et al., is discussed as a multi-agent system that combines LLMs with external data for KG construction." ;
    rdfs:label "AutoKG Framework" .
}