Triple

T30902771
Position Surface form Disambiguated ID Type / Status
Subject SNMPv2-PARTY-MIB E787214 entity
Predicate administrativeModelElement P180617 FINISHED
Object partyTable 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: partyTable | Statement: [SNMPv2-PARTY-MIB, administrativeModelElement, partyTable]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: administrativeModelElement
Context triple: [SNMPv2-PARTY-MIB, administrativeModelElement, partyTable]
  • A. followedAdministrativeModelOf
    Indicates that one entity adopted or implemented its administrative structure, procedures, or governance framework based on the administrative model used by another entity.
  • B. hasAdministrationModel chosen
    Indicates that an entity is associated with or governed by a particular administration or management model.
  • C. administrativeFeature
    Indicates that one entity serves as an administrative or governance-related feature, function, or attribute associated with another entity.
  • D. belongsToAdministrativeSystem
    Indicates that one entity is part of, or under the jurisdiction of, a particular administrative system or framework.
  • E. supervisoryModel
    Indicates that one entity serves in an oversight or managerial role with authority and responsibility over the work or behavior of another entity.
  • 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_69f224bcbcb48190836df847424e4057 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fcf1b3d9a08190850b388308656266 completed May 7, 2026, 8:10 p.m.
PD Predicate disambiguation batch_69fcf0226d8c8190b23dceafb1794995 completed May 7, 2026, 8:03 p.m.
Created at: April 29, 2026, 8:50 p.m.