Triple

T19854882
Position Surface form Disambiguated ID Type / Status
Subject Lysse E477103 entity
Predicate garmentFeature P110046 FINISHED
Object high-rise waistbands 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: high-rise waistbands | Statement: [Lysse, garmentFeature, high-rise waistbands]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: garmentFeature
Context triple: [Lysse, garmentFeature, high-rise waistbands]
  • A. clothingFeature chosen
    Indicates that one entity has a specific clothing-related attribute, detail, or characteristic associated with it.
  • B. dressFeature
    Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
  • C. fashionCharacteristic
    Indicates a relationship where one entity possesses or exhibits a particular style, trend, or fashion-related attribute in relation to another.
  • D. wardrobeFeature
    Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
  • E. textileFeature
    Indicates a characteristic, property, or notable aspect associated with a textile or fabric.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6586b5b088190948ef002c1e77176 completed April 20, 2026, 4:46 p.m.
PD Predicate disambiguation batch_69e537e21d2881909b1be82f02b99d40 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:51 p.m.