Triple

T27692268
Position Surface form Disambiguated ID Type / Status
Subject TLS heartbeat extension E698189 entity
Predicate vulnerabilityCause P119540 FINISHED
Object insufficient bounds checking in some implementations LITERAL 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: insufficient bounds checking in some implementations | Statement: [TLS heartbeat extension, vulnerabilityCause, insufficient bounds checking in some implementations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vulnerabilityCause
Context triple: [TLS heartbeat extension, vulnerabilityCause, insufficient bounds checking in some implementations]
  • A. vulnerabilitySource chosen
    Indicates that one entity is the origin, cause, or contributing factor of another entity’s vulnerability or weakness.
  • B. vulnerabilityType
    Indicates the specific kind or category of vulnerability associated with an entity or situation.
  • C. securityVulnerability
    Indicates that an entity has a weakness or flaw that could be exploited to compromise its security.
  • D. strategicVulnerability
    Indicates a relationship where an entity is exposed to potential harm or disadvantage in a way that can be deliberately exploited within a strategic or competitive context.
  • E. associatedWithVulnerability
    Indicates a relationship where an entity is linked to, affected by, or relevant to a specific vulnerability or security weakness.
  • 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_69ef590df8708190af5488f0638e790c 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, 2:52 p.m.