Triple

T5640472
Position Surface form Disambiguated ID Type / Status
Subject Digor dialect E124251 entity
Predicate hasStandardizationLevel P65362 FINISHED
Object less standardized than Iron dialect 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 standardized than Iron dialect | Statement: [Digor dialect, hasStandardizationLevel, less standardized than Iron dialect]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStandardizationLevel
Context triple: [Digor dialect, hasStandardizationLevel, less standardized than Iron dialect]
  • A. standardizationStatus
    Indicates the current stage or condition of an entity in a formal standardization process (e.g., proposed, under review, approved, deprecated).
  • B. hasStandardizationEffort
    Indicates that there is an organized effort or process to standardize something, such as practices, formats, or specifications, across relevant entities or contexts.
  • C. hasStandardizationBody
    Indicates that an entity is associated with, governed by, or defined by a specific standards-setting organization or authority.
  • D. isStandardizationTargetOf
    Indicates that an entity is the object or subject being standardized within a standardization process, activity, or initiative.
  • E. hasStandardizedDimensions
    Indicates that an entity conforms to a predefined, uniform set of measurements or size specifications.
  • F. None of above. chosen

Provenance (4 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022850bf08190953cd5394f821801 completed March 22, 2026, 5:10 p.m.
PD Predicate disambiguation batch_69c01b2168508190b64b355cf50034ad completed March 22, 2026, 4:38 p.m.
PDg Predicate description generation batch_69c01f0727bc8190b16e9a669c04b4dd completed March 22, 2026, 4:55 p.m.
Created at: March 22, 2026, 3:41 p.m.