Triple

T54151
Position Surface form Disambiguated ID Type / Status
Subject Internet Engineering Task Force E1066 entity
Predicate standardizationOutput P751 FINISHED
Object Proposed Standard 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: Proposed Standard | Statement: [Internet Engineering Task Force, standardizationOutput, Proposed Standard]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: standardizationOutput
Context triple: [Internet Engineering Task Force, standardizationOutput, Proposed Standard]
  • A. standardizedBy
    Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
  • B. standardType chosen
    Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
  • C. usesStandard
    Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
  • D. hasStandardizationBody
    Indicates that an entity is associated with, governed by, or defined by a specific standards-setting organization or authority.
  • E. notableStandard
    Indicates that one entity is a widely recognized or influential standard that the other entity is associated with or exemplifies.
  • 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_69a248adc5b48190aa8db9fb092fb28a completed Feb. 28, 2026, 1:45 a.m.
NER Named-entity recognition batch_69a24b3a9e848190b80de3c858678b3a completed Feb. 28, 2026, 1:56 a.m.
PD Predicate disambiguation batch_69a24ac52fb08190aa7c38f83434f795 completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:50 a.m.