Triple

T23186636
Position Surface form Disambiguated ID Type / Status
Subject REGN E579608 entity
Predicate hasUnderlyingCompanyStockCategory P66662 FINISHED
Object large-cap biotechnology stock 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: large-cap biotechnology stock | Statement: [REGN, hasUnderlyingCompanyStockCategory, large-cap biotechnology stock]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingCompanyStockCategory
Context triple: [REGN, hasUnderlyingCompanyStockCategory, large-cap biotechnology stock]
  • A. hasUnderlyingCompanyMainProductType
    Indicates that an entity’s primary product type is based on or derived from the main product type of an associated underlying company.
  • B. hasUnderlyingSector
    Indicates that one entity is fundamentally based in, categorized within, or primarily associated with a particular economic or industry sector.
  • C. underlyingCompanyType chosen
    Indicates the classification or category of company that forms the basis or source for another related entity or instrument.
  • D. hasUnderlyingCompanyBusinessModel
    Indicates that one entity possesses or is based on a specific company business model that underlies its structure, operations, or value creation.
  • E. industryOfUnderlyingCompany
    Indicates the industry sector in which the underlying company associated with this entity operates.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fd3aaa08190b9cf7afe4ee5a38d completed April 29, 2026, 4:57 a.m.
PD Predicate disambiguation batch_69ef8a041c0081909afb670d17a5aaba completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 4:05 p.m.