Triple

T16860511
Position Surface form Disambiguated ID Type / Status
Subject Australian Air Force Cadets E409896 entity
Predicate hasUniformStyle P46850 FINISHED
Object Royal Australian Air Force-style uniform 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: Royal Australian Air Force-style uniform | Statement: [Australian Air Force Cadets, hasUniformStyle, Royal Australian Air Force-style uniform]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUniformStyle
Context triple: [Australian Air Force Cadets, hasUniformStyle, Royal Australian Air Force-style uniform]
  • A. uniformStyle chosen
    Indicates that the related entities share the same or a consistent style, pattern, or formatting.
  • B. hasStyle
    Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
  • C. hasSystemStyle
    Indicates that one entity is associated with, or characterized by, a particular system-defined style of another entity.
  • D. hasStructuralStyle
    Indicates that one entity possesses, exhibits, or is characterized by a particular architectural or structural design style.
  • E. requiresUniformity
    Indicates that one entity imposes a condition that another entity (or set of entities) must be consistent or identical in a specified aspect.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b502bc048190baa5a83015407080 completed April 18, 2026, 4:44 p.m.
PD Predicate disambiguation batch_69e32b8cbb048190878a259cc5be960e completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:24 a.m.