Triple

T1674457
Position Surface form Disambiguated ID Type / Status
Subject SNMPv3 E36198 entity
Predicate accessControlModel P15393 FINISHED
Object View-based Access Control Model 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: View-based Access Control Model | Statement: [SNMPv3, accessControlModel, View-based Access Control Model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accessControlModel
Context triple: [SNMPv3, accessControlModel, View-based Access Control Model]
  • A. controlsAccessTo chosen
    Indicates that one entity regulates, manages, or determines the ability of another entity to reach, use, or interact with a resource, location, or service.
  • B. hasAccessModel
    Indicates that one entity is permitted to use, interact with, or retrieve a particular model controlled by another entity or system.
  • C. accessRestriction
    Indicates a limitation or control placed on who or what can access a particular resource, location, or information.
  • D. accessMode
    Indicates the manner or method by which an entity can be accessed, used, or interacted with.
  • E. hasAuthorityControl
    Indicates that one entity possesses formal power, control, or decision-making authority over another entity or activity.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab272a653481908f48aa1eed5de8a4 completed March 6, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69aa61b2f6288190b2348ef7d7e4672d completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:29 p.m.