Triple

T8248922
Position Surface form Disambiguated ID Type / Status
Subject OpenVAS E192908 entity
Predicate previousName P65 FINISHED
Object GNessUs
GNessUs was the original name of the open-source vulnerability scanning framework that later became known as OpenVAS.
 E721447 NE FINISHED

How this triple was built (4 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: GNessUs | Statement: [OpenVAS, previousName, GNessUs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GNessUs
Context triple: [OpenVAS, previousName, GNessUs]
  • A. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • B. Ness
    Ness is a remote crofting and fishing community at the northern tip of the Isle of Lewis in Scotland’s Outer Hebrides.
  • C. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • D. GSN
    GSN is the FAA airport code for Saipan International Airport, the primary airport serving Saipan in the Northern Mariana Islands.
  • E. Nes
    Nes is a small coastal village on the Faroe Islands known for its traditional Faroese character and scenic North Atlantic setting.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GNessUs
Triple: [OpenVAS, previousName, GNessUs]
Generated description
GNessUs was the original name of the open-source vulnerability scanning framework that later became known as OpenVAS.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GNessUs
Target entity description: GNessUs was the original name of the open-source vulnerability scanning framework that later became known as OpenVAS.
  • A. GN
    GN is a fast, meta-build system tool used primarily by the Chromium project to generate build files for Ninja.
  • B. Ness
    Ness is a remote crofting and fishing community at the northern tip of the Isle of Lewis in Scotland’s Outer Hebrides.
  • C. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • D. GSN
    GSN is the FAA airport code for Saipan International Airport, the primary airport serving Saipan in the Northern Mariana Islands.
  • E. Nes
    Nes is a small coastal village on the Faroe Islands known for its traditional Faroese character and scenic North Atlantic setting.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69cd37a71af481909e82aa29ae558c4a completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ef034ec8190a4229b21e6088c79 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:48 p.m.