Triple

T21685917
Position Surface form Disambiguated ID Type / Status
Subject Uzbek culture E535227 entity
Predicate traditionalBread P16502 FINISHED
Object non 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: non | Statement: [Uzbek culture, traditionalBread, non]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalBread
Context triple: [Uzbek culture, traditionalBread, non]
  • A. breadType chosen
    Indicates the specific kind or category of bread associated with an entity.
  • B. traditionalFilling
    Indicates that something is filled using a customary or historically established type of filling associated with a particular practice, item, or cuisine.
  • C. traditionalFat
    Indicates that an entity uses or contains a type or amount of fat characteristic of customary or long-established practices.
  • D. traditionalDish
    Indicates that the object is a dish customarily prepared, eaten, or recognized within the subject’s cultural or regional tradition.
  • E. traditionalOrigin
    Indicates that something comes from, or is rooted in, a long-established cultural or customary source or practice.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cb69f081908ed0c7ebea429898 completed April 27, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69e6968abfdc81909cf9e0bd72db9eca completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:44 p.m.