Triple

T22045246
Position Surface form Disambiguated ID Type / Status
Subject Flag of Uzbekistan E544743 entity
Predicate hasFimbriation P39214 FINISHED
Object thin red stripes separating blue and white 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: thin red stripes separating blue and white | Statement: [Flag of Uzbekistan, hasFimbriation, thin red stripes separating blue and white]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFimbriation
Context triple: [Flag of Uzbekistan, hasFimbriation, thin red stripes separating blue and white]
  • A. fimbriationColor chosen
    Indicates the color used for the fimbriation (the narrow bordering or edging) around an element.
  • B. hasFrill
    Indicates that one entity possesses or is characterized by a frill as a distinguishing feature or component.
  • C. hasFilamentaryStructure
    Indicates that something exhibits a thread-like, elongated, or filament-shaped structural pattern.
  • D. hasBaleen
    Indicates that one entity possesses baleen structures used for filter-feeding.
  • E. hasFins
    Indicates that an entity possesses fins as physical appendages.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1282e647481908e054b3ad19e2c15 completed April 28, 2026, 9:35 p.m.
PD Predicate disambiguation batch_69e6f643ca74819083e8ab78e843f243 completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 8:25 p.m.