Triple

T24989410
Position Surface form Disambiguated ID Type / Status
Subject Chagatai literature E625405 entity
Predicate hasLiteraryStandardFor P22965 FINISHED
Object Uzbek language NE NERFINISHED

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: Uzbek language | Statement: [Chagatai literature, hasLiteraryStandardFor, Uzbek language]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLiteraryStandardFor
Context triple: [Chagatai literature, hasLiteraryStandardFor, Uzbek language]
  • A. hasLiteraryStandard chosen
    Indicates that one entity defines, specifies, or embodies the accepted literary norm or standard used by another entity.
  • B. hasLiteraryForm
    Indicates that one entity is expressed, structured, or realized in a particular literary form (such as a genre, style, or textual format).
  • C. hasLiterarySignificance
    Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
  • D. isCulturalStandardFor
    Indicates that something is recognized or accepted as the customary or normative practice, value, or behavior within a particular culture or cultural context.
  • E. hasLiteraryMode
    Indicates that a work, text, or expression is associated with a particular literary mode (such as satire, realism, or allegory) that characterizes its style or narrative approach.
  • 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_69e2ff2611c081908710457fbe6d376b completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f5ffc74fa481909b4fe24a9337f9eb completed May 2, 2026, 1:44 p.m.
PD Predicate disambiguation batch_69f5f7f99dc08190afcfb3bc4dfbec1d completed May 2, 2026, 1:11 p.m.
Created at: April 18, 2026, 6:03 a.m.