Triple

T7893458
Position Surface form Disambiguated ID Type / Status
Subject Premium Career E183291 entity
Predicate businessFunctionalityOrientation P21224 FINISHED
Object career-focused rather than business-focused 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: career-focused rather than business-focused | Statement: [Premium Career, businessFunctionalityOrientation, career-focused rather than business-focused]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: businessFunctionalityOrientation
Context triple: [Premium Career, businessFunctionalityOrientation, career-focused rather than business-focused]
  • A. businessFunction
    Indicates the specific role, activity, or operational function that an entity performs within a business context.
  • B. organizationalFunction
    Indicates the role, purpose, or primary activity that an organization performs within a broader system or context.
  • C. businessModelFocus chosen
    Indicates that one entity’s business model is centered on, tailored to, or primarily oriented around another entity or specific focus area.
  • D. organizationFocus
    Indicates the primary area of activity, mission, or specialization that an organization is oriented toward or concentrated on.
  • E. businessEvolution
    Indicates how a business changes, grows, or transforms over time in response to internal developments and external conditions.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a008fb88190a039fec40483ab93 completed March 31, 2026, 3:05 a.m.
PD Predicate disambiguation batch_69cae92d94448190b4425bbfb64c658c completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:01 p.m.