[
    {
        "@id": "https://w3id.org/np/RAExSqe3G-_jyUBQ2wnkttDvmf1-qWM5EJtKdOk0Eau_0/provenance",
        "@graph": [
            {
                "@id": "https://w3id.org/np/RAExSqe3G-_jyUBQ2wnkttDvmf1-qWM5EJtKdOk0Eau_0/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.2404.09077"
                    }
                ]
            }
        ]
    },
    {
        "@id": "https://w3id.org/np/RAExSqe3G-_jyUBQ2wnkttDvmf1-qWM5EJtKdOk0Eau_0/assertion",
        "@graph": [
            {
                "@id": "https://doi.org/10.48550/arXiv.2404.09077",
                "http://purl.org/dc/terms/title": [
                    {
                        "@value": "CuriousLLM: Elevating Multi-Document Question Answering with LLM-Enhanced Knowledge Graph Reasoning"
                    }
                ],
                "http://purl.org/spar/cito/describes": [
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#curiousLLM"
                    }
                ],
                "http://purl.org/spar/cito/discusses": [
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#knowledgeGraphPrompting"
                    },
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/methods#multiHopDenseRetrieverForKg"
                    }
                ],
                "@type": [
                    "http://www.w3.org/ns/prov#Entity"
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#curiousLLM",
                "http://purl.org/dc/terms/subject": [
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference"
                    }
                ],
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#comment": [
                    {
                        "@value": "CuriousLLM introduces an LLM agent that generates curiosity-driven follow-up questions to guide the traversal of a Knowledge Graph. This process aims to retrieve more relevant context efficiently, which then enhances the performance of a separate LLM (GPT-4o-mini) in generating answers for multi-document question answering tasks during inference."
                    }
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "CuriousLLM"
                    }
                ],
                "https://neverblink.eu/ontologies/llm-kg/hasTopCategory": [
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/top-categories#KGEnhancedLLM"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#knowledgeGraphPrompting",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "Knowledge Graph Prompting"
                    }
                ]
            },
            {
                "@id": "https://neverblink.eu/ontologies/llm-kg/methods#multiHopDenseRetrieverForKg",
                "@type": [
                    "http://purl.org/spar/fabio/Workflow"
                ],
                "http://www.w3.org/2000/01/rdf-schema#label": [
                    {
                        "@value": "Multi-hop Dense Retriever for KG"
                    }
                ]
            }
        ]
    },
    {
        "@id": "https://w3id.org/np/RAExSqe3G-_jyUBQ2wnkttDvmf1-qWM5EJtKdOk0Eau_0/Head",
        "@graph": [
            {
                "@id": "https://w3id.org/np/RAExSqe3G-_jyUBQ2wnkttDvmf1-qWM5EJtKdOk0Eau_0",
                "http://www.nanopub.org/nschema#hasAssertion": [
                    {
                        "@id": "https://w3id.org/np/RAExSqe3G-_jyUBQ2wnkttDvmf1-qWM5EJtKdOk0Eau_0/assertion"
                    }
                ],
                "http://www.nanopub.org/nschema#hasProvenance": [
                    {
                        "@id": "https://w3id.org/np/RAExSqe3G-_jyUBQ2wnkttDvmf1-qWM5EJtKdOk0Eau_0/provenance"
                    }
                ],
                "http://www.nanopub.org/nschema#hasPublicationInfo": [
                    {
                        "@id": "https://w3id.org/np/RAExSqe3G-_jyUBQ2wnkttDvmf1-qWM5EJtKdOk0Eau_0/pubinfo"
                    }
                ],
                "@type": [
                    "http://www.nanopub.org/nschema#Nanopublication"
                ]
            }
        ]
    },
    {
        "@id": "https://w3id.org/np/RAExSqe3G-_jyUBQ2wnkttDvmf1-qWM5EJtKdOk0Eau_0/pubinfo",
        "@graph": [
            {
                "@id": "https://w3id.org/np/RAExSqe3G-_jyUBQ2wnkttDvmf1-qWM5EJtKdOk0Eau_0",
                "http://purl.org/dc/terms/created": [
                    {
                        "@value": "2026-02-26T16:17:32.605Z",
                        "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
                    }
                ],
                "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.2404.09077"
                    }
                ]
            },
            {
                "@id": "https://w3id.org/np/RAExSqe3G-_jyUBQ2wnkttDvmf1-qWM5EJtKdOk0Eau_0/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": "QlZ7PKg1qsK5OES/sW+4+0kO7ac04yf8qvxy+3jUgE2da5iuJF0uqBK6tiNU48PEMUHTO9q8jdZLNWb+TDubK6uXUANMk22/WZJ2JcXcLxfb9DYGph8CJhStXZZtiRoe5q56pR0KQGX+u+b99a6ngFfeJkxHDmz/5M/mRoKrrgPSK08IvNmXPjXn72AWP56aTttq3ZQ0eH4ONRn+30BxFfc4BUPkbz+7TSXOAehtrIki2T9T5QWcSGnfUJdCAxZ0UXqexi9D99jTmfW26k+4zwuoUk49/BteJhlJcFaguKAEnhiA282QMzhGSMY0F1OTunbgfa2tAqq9t7nRpZsSew=="
                    }
                ],
                "http://purl.org/nanopub/x/hasSignatureTarget": [
                    {
                        "@id": "https://w3id.org/np/RAExSqe3G-_jyUBQ2wnkttDvmf1-qWM5EJtKdOk0Eau_0"
                    }
                ],
                "http://purl.org/nanopub/x/signedBy": [
                    {
                        "@id": "https://neverblink.eu/ontologies/llm-kg/agent"
                    }
                ]
            }
        ]
    }
]