Triple

T13079679
Position Surface form Disambiguated ID Type / Status
Subject LSD E310169 entity
Predicate wasFirstSynthesizedAt P61680 FINISHED
Object Sandoz Laboratories E584145 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: Sandoz Laboratories | Statement: [LSD, wasFirstSynthesizedAt, Sandoz Laboratories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sandoz Laboratories
Context triple: [LSD, wasFirstSynthesizedAt, Sandoz Laboratories]
  • A. Sandoz chosen
    Sandoz is a historic Swiss pharmaceutical company best known as a predecessor of Novartis and a major player in generic medicines.
  • B. Novartis
    Novartis is a global Swiss-based pharmaceutical company known for developing innovative medicines across a wide range of therapeutic areas.
  • C. Teva Pharmaceutical Industries
    Teva Pharmaceutical Industries is a global pharmaceutical company based in Israel, best known as one of the world’s largest manufacturers of generic medicines and a producer of specialty and over-the-counter drugs.
  • D. Schott Pharma
    Schott Pharma is a specialized pharmaceutical packaging and drug delivery solutions company known for producing high-quality glass and polymer containers for injectable medicines and other healthcare applications.
  • E. Schering
    Schering is a German surname most notably associated with Ernst Schering, a 19th-century pharmacist and founder of the pharmaceutical company Schering AG.
  • 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: wasFirstSynthesizedAt
Context triple: [LSD, wasFirstSynthesizedAt, Sandoz Laboratories]
  • A. wasFirstSynthesizedIn chosen
    Indicates the location or context in which something (typically a substance or compound) was originally created or produced for the first time.
  • B. wasFirstSynthesizedBy
    Indicates that one entity is the person, group, or organization that originally synthesized or created the other entity for the first time.
  • C. firstSynthesisTarget
    Indicates that an entity is the initial or primary target selected for synthesis in a process or workflow.
  • D. firstProducedAt
    Indicates the location or context where something was originally created, manufactured, or brought into existence for the first time.
  • E. madeAt
    Indicates the specific place or time at which something was created, produced, or manufactured.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d98119cb7081908b78ffe83ec99851 completed April 10, 2026, 11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d60c603881909dff49f4356042b5 completed May 3, 2026, 4:58 a.m.
PD Predicate disambiguation batch_69d9803d46688190bac6b7d208f08d01 completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:01 p.m.