Triple

T12673896
Position Surface form Disambiguated ID Type / Status
Subject WBA E302753 entity
Predicate underlyingCompanyBusinessDescription P106227 FINISHED
Object global pharmacy and retail health company 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: global pharmacy and retail health company | Statement: [WBA, underlyingCompanyBusinessDescription, global pharmacy and retail health company]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: underlyingCompanyBusinessDescription
Context triple: [WBA, underlyingCompanyBusinessDescription, global pharmacy and retail health company]
  • A. underlyingCompanyBusinessFocus
    Indicates the primary industry, sector, or type of business activity that the underlying company is focused on.
  • 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. underlyingCompanyType
    Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
  • D. underlyingCompanyName
    Indicates the name of the company that serves as the foundational or primary entity underlying another entity, structure, or instrument.
  • E. industryOfUnderlyingCompany
    Indicates the industry sector in which the underlying company associated with this entity operates.
  • F. None of above. chosen

Provenance (4 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961af991c8190b6079cb57e593b8f completed April 10, 2026, 8:46 p.m.
PD Predicate disambiguation batch_69d960bb64ec8190bd0400cf0cc8b0a7 completed April 10, 2026, 8:42 p.m.
PDg Predicate description generation batch_69d961acadb8819098de743bc951fedb completed April 10, 2026, 8:46 p.m.
Created at: April 9, 2026, 5:20 p.m.