Triple

T2138673
Position Surface form Disambiguated ID Type / Status
Subject Tecentriq E46710 entity
Predicate belongsToCompanyPortfolio P18121 FINISHED
Object Roche E46707 NE FINISHED

How this triple was built (3 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: Roche | Statement: [Tecentriq, belongsToCompanyPortfolio, Roche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roche
Context triple: [Tecentriq, belongsToCompanyPortfolio, Roche]
  • A. Roche chosen
    Roche is a major Swiss multinational healthcare company and one of the world’s leading pharmaceutical and diagnostics firms.
  • B. Novartis
    Novartis is a global Swiss-based pharmaceutical company known for developing innovative medicines across a wide range of therapeutic areas.
  • C. Sanofi
    Sanofi is a major French multinational pharmaceutical company known for developing prescription medicines, vaccines, and consumer healthcare products worldwide.
  • D. Bayer
    Bayer is a major German multinational pharmaceutical and life sciences company known for products such as aspirin and its work in healthcare and agriculture.
  • E. Pfizer
    Pfizer is a major American multinational pharmaceutical and biotechnology corporation known for developing a wide range of prescription medicines and vaccines, including one of the first widely used COVID-19 vaccines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: belongsToCompanyPortfolio
Context triple: [Tecentriq, belongsToCompanyPortfolio, Roche]
  • A. belongsToPortfolio chosen
    Indicates that something is included as a component or asset within a particular portfolio.
  • B. portfolioOf
    Indicates that one entity is the collection of investments, works, or assets that are owned, managed, or represented by another entity.
  • C. hasPatentPortfolioIn
    Indicates that an entity holds or manages one or more patents within a specified jurisdiction, region, or technical domain.
  • D. memberCompany
    Indicates that a company is formally part of, or affiliated as a member with, a larger organization, group, or association.
  • E. usedPatentPortfolioOf
    Indicates that one entity made use of another entity’s patent portfolio, typically for development, production, licensing, or strategic purposes.
  • F. None of above.

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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbf74147c81908793c3694894f94a completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71af0fa081909dd4b2a7452623da completed March 9, 2026, 7:07 a.m.
PD Predicate disambiguation batch_69abbd96a3b0819081efbfef975e1513 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:44 p.m.