[ { "@graph" : [ { "@id" : "https://w3id.org/np/RAdc8G60E4qd2CYgY7dBCu1Z9oqBTYz7wbc9h-SB49jac", "@type" : [ "http://www.nanopub.org/nschema#Nanopublication" ], "http://www.nanopub.org/nschema#hasAssertion" : [ { "@id" : "https://w3id.org/np/RAdc8G60E4qd2CYgY7dBCu1Z9oqBTYz7wbc9h-SB49jac/assertion" } ], "http://www.nanopub.org/nschema#hasProvenance" : [ { "@id" : "https://w3id.org/np/RAdc8G60E4qd2CYgY7dBCu1Z9oqBTYz7wbc9h-SB49jac/provenance" } ], "http://www.nanopub.org/nschema#hasPublicationInfo" : [ { "@id" : "https://w3id.org/np/RAdc8G60E4qd2CYgY7dBCu1Z9oqBTYz7wbc9h-SB49jac/pubinfo" } ] } ], "@id" : "https://w3id.org/np/RAdc8G60E4qd2CYgY7dBCu1Z9oqBTYz7wbc9h-SB49jac/Head" }, { "@graph" : [ { "@id" : "https://doi.org/10.48550/arXiv.2404.14741", "@type" : [ "http://www.w3.org/ns/prov#Entity" ], "http://purl.org/dc/terms/title" : [ { "@value" : "Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering" } ], "http://purl.org/spar/cito/describes" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#GenerateOnGraph" } ], "http://purl.org/spar/cito/discusses" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ChainOfThought" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ChatKBQA" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#DecomP" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#GAG" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#IOprompt" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#KBBINDER" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ReAct" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#RoG" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#SelfConsistency" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#StructGPT" }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ToG" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ChainOfThought", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "Chain-of-Thought (CoT) prompting" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ChatKBQA", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "ChatKBQA" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#DecomP", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "De-comP" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#GAG", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "GAG" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#GenerateOnGraph", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://purl.org/dc/terms/subject" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning" } ], "http://www.w3.org/2000/01/rdf-schema#comment" : [ { "@value" : "GoG is a training-free method for Incomplete Knowledge Graph Question Answering (IKGQA). It employs a Thinking-Searching-Generating framework, treating the LLM as both an agent to explore the KG and as a knowledge source to generate missing factual triples. This synergistic approach combines LLM's reasoning and internal knowledge with external KG facts to answer complex questions where the KG is incomplete." } ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "Generate-on-Graph (GoG)" } ], "https://neverblink.eu/ontologies/llm-kg/hasTopCategory" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/top-categories#SynergizedLLMKG" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#IOprompt", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "Standard prompting (IO prompt)" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#KBBINDER", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "KB-BINDER" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ReAct", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "ReAct" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#RoG", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "RoG" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#SelfConsistency", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "Self-Consistency (SC)" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#StructGPT", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "StructGPT" } ] }, { "@id" : "https://neverblink.eu/ontologies/llm-kg/methods#ToG", "@type" : [ "http://purl.org/spar/fabio/Workflow" ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "ToG" } ] } ], "@id" : "https://w3id.org/np/RAdc8G60E4qd2CYgY7dBCu1Z9oqBTYz7wbc9h-SB49jac/assertion" }, { "@graph" : [ { "@id" : "https://w3id.org/np/RAdc8G60E4qd2CYgY7dBCu1Z9oqBTYz7wbc9h-SB49jac/assertion", "http://www.w3.org/ns/prov#wasAttributedTo" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/agent" } ], "http://www.w3.org/ns/prov#wasDerivedFrom" : [ { "@id" : "https://doi.org/10.48550/arXiv.2404.14741" } ] } ], "@id" : "https://w3id.org/np/RAdc8G60E4qd2CYgY7dBCu1Z9oqBTYz7wbc9h-SB49jac/provenance" }, { "@graph" : [ { "@id" : "https://w3id.org/np/RAdc8G60E4qd2CYgY7dBCu1Z9oqBTYz7wbc9h-SB49jac", "http://purl.org/dc/terms/created" : [ { "@type" : "http://www.w3.org/2001/XMLSchema#dateTime", "@value" : "2026-02-26T13:20:48.683Z" } ], "http://purl.org/dc/terms/creator" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/agent" } ], "http://purl.org/nanopub/x/hasNanopubType" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/PaperAssessmentResult" } ], "http://www.w3.org/2000/01/rdf-schema#label" : [ { "@value" : "LLM-KG assessment for paper 10.48550/arXiv.2404.14741" } ] }, { "@id" : "https://w3id.org/np/RAdc8G60E4qd2CYgY7dBCu1Z9oqBTYz7wbc9h-SB49jac/sig", "http://purl.org/nanopub/x/hasAlgorithm" : [ { "@value" : "RSA" } ], "http://purl.org/nanopub/x/hasPublicKey" : [ { "@value" : "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" } ], "http://purl.org/nanopub/x/hasSignature" : [ { "@value" : "MYsLcW+rCJV1j4yZ69YxFArdaTyd7l/dW/1AFgs6EJy8lBt/R1BzQg8tVwMSPmFwP16Sz/k/kDDKIqZ0HkMefh19Q8HlqL4lnPPGJmOvOwcdIBam7rGhcJSVqrT4YcHHAeaEaVAifHCmqv0SDVIs+MUO53K/YbEklds2CUUSAG61B4la0fyNkGAVllvPD5jqkvbKnyCkrU2gvok5ranKAk1JIAG8jxJmUIhpiB/DYTAjTImoIeABR5ycxtQv/eoaocTXPyOzGHQpTdDOrYK1CIKwVH3QmsAmxWarpkSeT6uLk5UARbMIeJ/BZQl/3XOoBMzBo55tYSC98q5Bj9KH3g==" } ], "http://purl.org/nanopub/x/hasSignatureTarget" : [ { "@id" : "https://w3id.org/np/RAdc8G60E4qd2CYgY7dBCu1Z9oqBTYz7wbc9h-SB49jac" } ], "http://purl.org/nanopub/x/signedBy" : [ { "@id" : "https://neverblink.eu/ontologies/llm-kg/agent" } ] } ], "@id" : "https://w3id.org/np/RAdc8G60E4qd2CYgY7dBCu1Z9oqBTYz7wbc9h-SB49jac/pubinfo" } ]