Triple

T30662834
Position Surface form Disambiguated ID Type / Status
Subject SKX E780577 entity
Predicate underlyingCompanyTargetMarket P481 FINISHED
Object men 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: men | Statement: [SKX, underlyingCompanyTargetMarket, men]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: underlyingCompanyTargetMarket
Context triple: [SKX, underlyingCompanyTargetMarket, men]
  • A. underlyingCompanyPrimaryMarkets
    Indicates the main geographic or sector markets in which the underlying company primarily operates or focuses its business activities.
  • B. underlyingCompany
    Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
  • C. targetMarket chosen
    Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
  • D. underlyingCompanyProvides
    Indicates that an underlying company supplies or makes available a product, service, or resource to another party or entity.
  • E. underlyingCompanyBusinessFocus
    Indicates the primary industry, sector, or type of business activity that the underlying company is focused on.
  • 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_69f224a6d10481909290be1a00fc83b3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7979a073881909a4fde2558e6b6f3 completed May 3, 2026, 6:44 p.m.
PD Predicate disambiguation batch_69f7961550f88190b7bb8a9155458b54 completed May 3, 2026, 6:38 p.m.
Created at: April 29, 2026, 8:31 p.m.