Triple

T1718290
Position Surface form Disambiguated ID Type / Status
Subject NTFS (via driver) E37336 entity
Predicate securityConsideration P25437 FINISHED
Object write support may risk data corruption if driver is unstable 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: write support may risk data corruption if driver is unstable | Statement: [NTFS (via driver), securityConsideration, write support may risk data corruption if driver is unstable]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityConsideration
Context triple: [NTFS (via driver), securityConsideration, write support may risk data corruption if driver is unstable]
  • A. hasSecurityConsideration chosen
    Indicates that there is a relevant security-related issue, risk, or precaution associated with the referenced entity.
  • B. security
    Indicates that an entity provides protection, safety measures, or safeguards to another entity or against specific threats or risks.
  • C. securityRecommendation
    Indicates that one entity advises or prescribes specific security-related actions, settings, or measures for another entity.
  • D. securityAspect
    Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
  • E. securityMechanism
    Indicates a relationship where one entity serves as a means or method to protect another entity from threats, vulnerabilities, or unauthorized actions.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab5c96db6c8190a745d6fef7bf2cdb completed March 6, 2026, 11 p.m.
PD Predicate disambiguation batch_69aa61bed2fc819086d912cd34285978 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:30 p.m.