Triple

T6718914
Position Surface form Disambiguated ID Type / Status
Subject SIX Swiss Exchange E153343 entity
Predicate listsCompany P71780 FINISHED
Object Novartis E141505 NE 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: Novartis | Statement: [SIX Swiss Exchange, listsCompany, Novartis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Novartis
Context triple: [SIX Swiss Exchange, listsCompany, 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.

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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7c94bac8190ae4b236d1b04bec9 completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70afa805c819098312fc0d06ec115 completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:07 p.m.