Triple

T27663709
Position Surface form Disambiguated ID Type / Status
Subject Artifact Analysis E697180 entity
Predicate usesVulnerabilitySource P38247 FINISHED
Object OSV NE NERFINISHED

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: OSV | Statement: [Artifact Analysis, usesVulnerabilitySource, OSV]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesVulnerabilitySource
Context triple: [Artifact Analysis, usesVulnerabilitySource, OSV]
  • A. vulnerabilitySource
    Indicates that one entity is the origin, cause, or contributing factor of another entity’s vulnerability or weakness.
  • B. associatedWithVulnerability
    Indicates a relationship where an entity is linked to, affected by, or relevant to a specific vulnerability or security weakness.
  • C. usesSourceType chosen
    Indicates that one entity makes use of, relies on, or operates based on a particular type or category of source.
  • D. usesSigningSource
    Indicates that one entity performs signing operations by relying on another specified source or mechanism for the signing process.
  • E. usedAsSourceIn
    Indicates that something serves as the origin, basis, or input from which another thing is derived, produced, or obtained.
  • F. None of above.

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_69ef590b85a4819083ec7c12bd3c9c10 completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69f64dbbaefc8190952b8320bf4397d8 completed May 2, 2026, 7:17 p.m.
PD Predicate disambiguation batch_69f64cacd2c08190aed8a1761d0da679 completed May 2, 2026, 7:12 p.m.
Created at: April 27, 2026, 2:37 p.m.