Triple

T5114921
Position Surface form Disambiguated ID Type / Status
Subject Memantine E115307 entity
Predicate doseAdjustmentRequiredIn P61679 FINISHED
Object severe renal impairment LITERAL 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: severe renal impairment | Statement: [Memantine, doseAdjustmentRequiredIn, severe renal impairment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doseAdjustmentRequiredIn
Context triple: [Memantine, doseAdjustmentRequiredIn, severe renal impairment]
  • A. hasMaintenanceDose
    Indicates that an entity is associated with a specific ongoing dose used to maintain a desired therapeutic effect after initial treatment.
  • B. hasDosingRegimen
    Indicates that an entity is associated with a specific dosing regimen, defining how and when a dose is to be administered.
  • C. doseRegimen
    Indicates the specific schedule, frequency, and amount with which a dose of a substance or medication is to be administered.
  • D. hasInitialDose
    Indicates that an entity has received or is assigned a first or starting dose of a treatment, medication, or substance.
  • E. requiresPremedication
    Indicates that one entity must receive premedication (a preparatory medical treatment) before another specified procedure, treatment, or action can occur.
  • F. None of above. chosen

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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75ce6044819094166aebf0688665 completed March 20, 2026, 4:29 p.m.
PD Predicate disambiguation batch_69bd715fe3a8819087d3065adddba515 completed March 20, 2026, 4:10 p.m.
PDg Predicate description generation batch_69bd72e1b7cc8190b2e621fdf8f22e38 completed March 20, 2026, 4:16 p.m.
Created at: March 20, 2026, 1:41 p.m.