Triple

T7238523
Position Surface form Disambiguated ID Type / Status
Subject Basel metropolitan area E155293 entity
Predicate hasPharmaceuticalCompany P19182 FINISHED
Object Novartis E141505 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: Novartis | Statement: [Basel metropolitan area, hasPharmaceuticalCompany, Novartis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novartis
Context triple: [Basel metropolitan area, hasPharmaceuticalCompany, Novartis]
  • A. Novartis chosen
    Novartis is a global Swiss-based pharmaceutical company known for developing innovative medicines across a wide range of therapeutic areas.
  • B. Roche
    Roche is a common surname of French origin borne by various notable individuals across fields such as architecture, politics, and the arts.
  • C. Roche
    Roche is a major Swiss multinational healthcare company and one of the world’s leading pharmaceutical and diagnostics firms.
  • D. Sandoz
    Sandoz is a historic Swiss pharmaceutical company best known as a predecessor of Novartis and a major player in generic medicines.
  • E. Bristol Myers Squibb
    Bristol Myers Squibb is a global biopharmaceutical company known for developing and manufacturing innovative medicines in areas such as oncology, immunology, and cardiovascular disease.
  • 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: hasPharmaceuticalCompany
Context triple: [Basel metropolitan area, hasPharmaceuticalCompany, Novartis]
  • A. hasIndustrialCompany
    Indicates that one entity possesses, controls, or is associated with an industrial company.
  • B. hasMediaCompany
    Indicates that one entity owns, controls, or is formally associated with a media company.
  • C. isMajorCompanyIn
    Indicates that a company is a leading or dominant business entity within a specified country, region, or market.
  • D. hasNotableCompany chosen
    Indicates that an entity is associated with or linked to a company that is considered notable or significant in some context.
  • E. hasAssociatedCompany
    Indicates that one entity is linked or connected to a company in an associated or affiliated manner.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea552a688190a00f5d0ad982f787 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc381a4081909a8ea7ee02348328 completed March 28, 2026, 12:40 p.m.
PD Predicate disambiguation batch_69c6e7644648819096a5e2de5d0dbe97 completed March 27, 2026, 8:24 p.m.
Created at: March 27, 2026, 2:55 p.m.