Triple

T38279431
Position Surface form Disambiguated ID Type / Status
Subject Mahjar literature E1022044 entity
Predicate hasLiteraryInnovation P20939 FINISHED
Object loosening of classical Arabic poetic forms 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: loosening of classical Arabic poetic forms | Statement: [Mahjar literature, hasLiteraryInnovation, loosening of classical Arabic poetic forms]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLiteraryInnovation
Context triple: [Mahjar literature, hasLiteraryInnovation, loosening of classical Arabic poetic forms]
  • A. hasLiteraryAttribute
    Indicates that an entity possesses a specific literary quality, feature, or characteristic.
  • B. hasLiterarySignificance
    Indicates that something holds notable importance, influence, or value within the realm of literature or literary studies.
  • C. hasLiteraryForm
    Indicates that one entity is expressed, structured, or realized in a particular literary form (such as a genre, style, or textual format).
  • D. hasGenreInnovation chosen
    Indicates that something introduces a novel or pioneering approach within its genre or category.
  • E. hasLiteraryStandard
    Indicates that one entity defines, specifies, or embodies the accepted literary norm or standard used by 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_69f76df0cddc81908d16c1556ff4097f completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff27b125948190aced0fe0189fd39a completed May 9, 2026, 12:25 p.m.
PD Predicate disambiguation batch_69ff26c30a0481909ef6a54ded851e42 completed May 9, 2026, 12:21 p.m.
Created at: May 3, 2026, 4:30 p.m.