Triple

T5999463
Position Surface form Disambiguated ID Type / Status
Subject Novo Nordisk North American headquarters E133557 entity
Predicate focusesOnBusinessArea P6749 FINISHED
Object diabetes care 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: diabetes care | Statement: [Novo Nordisk North American headquarters, focusesOnBusinessArea, diabetes care]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: focusesOnBusinessArea
Context triple: [Novo Nordisk North American headquarters, focusesOnBusinessArea, diabetes care]
  • A. notableRegionOfBusiness
    Indicates that a specified geographic region is a significant or primary area in which an entity conducts its business activities.
  • B. underlyingCompanyBusinessFocus chosen
    Indicates the primary industry, sector, or type of business activity that the underlying company is focused on.
  • C. strategicArea
    Indicates that an entity is designated as an area of strategic importance or priority within a broader plan, operation, or context.
  • D. entrepreneurialFocus
    Indicates a relationship where an entity prioritizes or emphasizes entrepreneurial activities, initiatives, or mindset in its behavior or strategy.
  • E. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04ee49b708190a92c3fd1336e8ab0 completed March 22, 2026, 8:19 p.m.
PD Predicate disambiguation batch_69c049e152e88190979ab80cb9b50321 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:05 p.m.