Triple

T22449906
Position Surface form Disambiguated ID Type / Status
Subject UA E554962 entity
Predicate associatedWithCompanyBrandFocus P39625 FINISHED
Object performance apparel 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: performance apparel | Statement: [UA, associatedWithCompanyBrandFocus, performance apparel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithCompanyBrandFocus
Context triple: [UA, associatedWithCompanyBrandFocus, performance apparel]
  • A. associatedWithCompanyLogo
    Indicates a relationship where something is linked or connected to a specific company’s logo, such as by use, display, or representation.
  • B. associatedBrandCategory chosen
    Indicates that a brand is linked to or classified under a particular product or service category.
  • C. associatedWithBrandValues
    Indicates that one entity is connected or aligned with the brand values, principles, or identity represented by another entity.
  • D. hasUnderlyingCompanyBrand
    Indicates that one entity is associated with or operates under the corporate brand of another company as its underlying brand.
  • E. brandAssociationType
    Indicates the specific nature of the relationship or association that exists between a brand and another entity (such as a product, organization, or campaign).
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4ae8a08190ba6027f036ce62af completed April 29, 2026, 1:13 a.m.
PD Predicate disambiguation batch_69e898ad961c819098fd1e46129bddcc completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:48 p.m.