Triple

T34091542
Position Surface form Disambiguated ID Type / Status
Subject vigabatrin E874312 entity
Predicate hasRiskManagementProgram P80826 FINISHED
Object REMS program in the United States NE NERFINISHED

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: REMS program in the United States | Statement: [vigabatrin, hasRiskManagementProgram, REMS program in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRiskManagementProgram
Context triple: [vigabatrin, hasRiskManagementProgram, REMS program in the United States]
  • A. riskManagementProgramName
    Indicates the specific name assigned to a risk management program associated with an entity or activity.
  • B. hasHazardManagement
    Indicates that an entity has measures, systems, or responsibilities in place to control, mitigate, or respond to identified hazards.
  • C. riskManagementMechanism chosen
    Indicates a mechanism, process, or control used to identify, assess, mitigate, or monitor risks associated with an entity or activity.
  • D. riskManagement
    Indicates the implementation of strategies and actions to identify, assess, and mitigate potential risks associated with an entity or activity.
  • E. hasManagementPlan
    Indicates that an entity is associated with a defined management plan specifying how it should be overseen, maintained, or administered.
  • 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_69f349a735208190a1dbfb1c2a121059 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fcc7338120819081cb46547d60f2cb completed May 7, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69fcc58566a0819082d5ea36e03bf0c6 completed May 7, 2026, 5:01 p.m.
Created at: May 1, 2026, 1:52 a.m.