Triple

T28687563
Position Surface form Disambiguated ID Type / Status
Subject SNMPv2p E729176 entity
Predicate securityModelComparedToSNMPv3 P32151 FINISHED
Object less flexible and less adopted 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: less flexible and less adopted | Statement: [SNMPv2p, securityModelComparedToSNMPv3, less flexible and less adopted]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityModelComparedToSNMPv3
Context triple: [SNMPv2p, securityModelComparedToSNMPv3, less flexible and less adopted]
  • A. securityModelIdentifier
    Indicates the specific security model or framework under which an entity, interaction, or policy is defined or governed.
  • B. securityModelAbbreviation
    Indicates that one entity is the standard or commonly used abbreviated form of the name or identifier of a particular security model.
  • C. securityModelSimilarTo chosen
    Indicates that one entity’s security model is similar or comparable to that of another entity.
  • D. cryptographicModel
    Indicates a relationship where one entity serves as, or is based on, a particular cryptographic scheme, framework, or formal model.
  • E. securityModelChange
    Indicates that a change has occurred in the security model governing access, permissions, or protection mechanisms between entities.
  • 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_69f043e60b6c8190ac2cd042e77fe6e9 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f6d6a6b04c8190bee4cf9c00665ef7 completed May 3, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69f6d26ceb08819091c71c001e954936 completed May 3, 2026, 4:43 a.m.
Created at: April 28, 2026, 5:33 a.m.