Triple

T245111
Position Surface form Disambiguated ID Type / Status
Subject IEEE 802.1AE E5019 entity
Predicate securityServices P1687 FINISHED
Object confidentiality 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: confidentiality | Statement: [IEEE 802.1AE, securityServices, confidentiality]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityServices
Context triple: [IEEE 802.1AE, securityServices, confidentiality]
  • A. securityFeature
    Indicates that an entity provides, embodies, or is associated with a mechanism or property intended to enhance safety, protection, or defense against threats or vulnerabilities.
  • B. securityType
    Indicates the classification or category of security associated with an entity, such as the type of financial instrument, protection mechanism, or access control applied.
  • C. securityMechanism chosen
    Indicates a relationship where one entity serves as a means or method to protect another entity from threats, vulnerabilities, or unauthorized actions.
  • D. security
    Indicates that an entity provides protection, safety measures, or safeguards to another entity or against specific threats or risks.
  • E. securityProgram
    Indicates that an entity is associated with, participates in, or is governed by a security program, such as a set of policies, controls, or initiatives related to safety or protection.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d10ac248190a98dedabf5358668 completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b63b0bc8190864d7324d339fb48 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:54 a.m.