Triple

T27663709

Position	Surface form	Disambiguated ID	Type / Status
Subject	Artifact Analysis	`E697180`	entity
Predicate	usesVulnerabilitySource	`P38247`	FINISHED
Object	OSV OSV is an open-source vulnerability database and format that provides precise, machine-readable security advisories for software packages across multiple ecosystems.	`E1783529`	NE FINISHED

How this triple was built (3 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]

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: OSV
Triple: [Artifact Analysis, usesVulnerabilitySource, OSV]

Generated description

OSV is an open-source vulnerability database and format that provides precise, machine-readable security advisories for software packages across multiple ecosystems.

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 (6 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.
NED1	Entity disambiguation (via context triple)	`batch_6a12daa16ebc819083d0165f9beac42f`	completed	May 24, 2026, 11:01 a.m.
NEDg	Description generation	`batch_6a12dbf0cf1c8190bdb81018b840e2d5`	completed	May 24, 2026, 11:07 a.m.
NED2	Entity disambiguation (via description)	`batch_6a12dc625e688190a7f2192f3dc53f78`	completed	May 24, 2026, 11:09 a.m.
PD	Predicate disambiguation	`batch_69f64cacd2c08190aed8a1761d0da679`	completed	May 2, 2026, 7:12 p.m.

Created at: April 27, 2026, 2:37 p.m.