Triple

T37398337
Position Surface form Disambiguated ID Type / Status
Subject Dukes of Durham E928919 entity
Predicate associatedWithIndustryShift GENERATED
Object transition from chewing tobacco to cigarettes in the U.S. UNRECOGNIZED GENERATED

How this triple was built (1 step)

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.

PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithIndustryShift
Context triple: [Dukes of Durham, associatedWithIndustryShift, transition from chewing tobacco to cigarettes in the U.S.]
  • A. parentIndustryChange
    Indicates that the parent industry of an entity has been modified from one industry classification to another.
  • B. relationToIndustry chosen
    Indicates how an entity is connected or relevant to a particular industry, such as through involvement, impact, or association.
  • C. occupationalChange
    Indicates a change in a person’s job, profession, or occupational status over time.
  • D. associatedWithEconomicSector
    Indicates that an entity has a connection or involvement with a particular economic sector, such as operating, participating, or being relevant within that sector.
  • E. associatedWithCareerOf
    Indicates a relationship where something is connected or relevant to a person’s professional life, occupation, or career trajectory.
  • F. None of above.

Provenance (1 batch)

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_69f76ebbf79c8190b85bbcf3a6be57e4 completed May 3, 2026, 3:50 p.m.
Created at: May 3, 2026, 4:16 p.m.