Triple

T4055595
Position Surface form Disambiguated ID Type / Status
Subject Ottoman culture E84685 entity
Predicate hasClothingStyle P42256 FINISHED
Object caftan 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: caftan | Statement: [Ottoman culture, hasClothingStyle, caftan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClothingStyle
Context triple: [Ottoman culture, hasClothingStyle, caftan]
  • A. hasGarment
    Indicates that one entity possesses, wears, or is associated with a particular garment.
  • B. fashionStyle chosen
    Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
  • C. hasDressCode
    Indicates that a specified entity enforces or is associated with a particular set of rules governing appropriate clothing or attire.
  • D. styleCombination
    Indicates a relationship where multiple styles are combined or coordinated to form a unified stylistic configuration or presentation.
  • E. coatCharacteristic
    Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbabec608190a35d39d3d03b928b completed March 9, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69aef90249e4819095e9e043bc4aa9a6 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:38 p.m.