Triple

T270717
Position Surface form Disambiguated ID Type / Status
Subject SNMP E5625 entity
Predicate securityModel P3815 FINISHED
Object community-based security 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: community-based security | Statement: [SNMP, securityModel, community-based security]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: securityModel
Context triple: [SNMP, securityModel, community-based security]
  • A. securityMechanism
    Indicates a relationship where one entity serves as a means or method to protect another entity from threats, vulnerabilities, or unauthorized actions.
  • 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. securityAspect chosen
    Indicates a relationship where something pertains to, represents, or characterizes a particular aspect or dimension of security.
  • D. 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.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25e69a9248190b9e7959b43223baa completed Feb. 28, 2026, 3:18 a.m.
PD Predicate disambiguation batch_69a25b721180819080d43c43fcbccf87 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.