Triple

T11905024
Position Surface form Disambiguated ID Type / Status
Subject Kediyu E283251 entity
Predicate hasSleeveType P94904 FINISHED
Object long-sleeved garment 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: long-sleeved garment | Statement: [Kediyu, hasSleeveType, long-sleeved garment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSleeveType
Context triple: [Kediyu, hasSleeveType, long-sleeved garment]
  • A. hasTypicalSleeveStyle chosen
    Indicates the usual or characteristic sleeve design associated with an item, such as a garment or uniform.
  • B. hasGarment
    Indicates that one entity possesses, wears, or is associated with a particular garment.
  • C. coatCharacteristic
    Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
  • D. garmentType
    Indicates the specific kind or category of garment associated with an entity.
  • E. hasShoulderButtons
    Indicates that an object, typically a device or controller, includes buttons positioned on its shoulders or top side edges.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e525460c81909d855048d9c799bf completed April 10, 2026, 11:55 a.m.
PD Predicate disambiguation batch_69d8bb2fca4481909893f3428b0871ac completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.