Triple

T8248924
Position Surface form Disambiguated ID Type / Status
Subject OpenVAS E192908 entity
Predicate hasComponent P35 FINISHED
Object OpenVAS Scanner E192908 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: OpenVAS Scanner | Statement: [OpenVAS, hasComponent, OpenVAS Scanner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenVAS Scanner
Context triple: [OpenVAS, hasComponent, OpenVAS Scanner]
  • A. OpenVAS chosen
    OpenVAS is an open-source vulnerability scanning and management framework used to assess and improve the security of computer networks and systems.
  • B. Nessus
    Nessus is a centaur in Greek mythology best known for his role in the death of Heracles after deceitfully causing the poisoned garment incident.
  • C. Tenable
    Tenable is a British daytime television quiz show, hosted by Warwick Davis, in which teams of contestants attempt to complete top-ten lists on a variety of topics.
  • D. Nmap
    Nmap is a widely used open-source network scanning and security auditing tool that discovers hosts and services on computer networks.
  • E. OWASP ZAP
    OWASP ZAP (Zed Attack Proxy) is an open-source web application security testing tool used to find vulnerabilities in web applications.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c6b3c48190a3ecebf449766124 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd353888208190941d1c0b7b911cdd completed April 1, 2026, 3:09 p.m.
Created at: March 30, 2026, 5:48 p.m.