Triple

T32196031
Position Surface form Disambiguated ID Type / Status
Subject folinic acid E822405 entity
Predicate mayReduceEffectOf P149536 FINISHED
Object antiepileptic drugs such as phenobarbital, phenytoin, primidone 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: antiepileptic drugs such as phenobarbital, phenytoin, primidone | Statement: [folinic acid, mayReduceEffectOf, antiepileptic drugs such as phenobarbital, phenytoin, primidone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayReduceEffectOf
Context triple: [folinic acid, mayReduceEffectOf, antiepileptic drugs such as phenobarbital, phenytoin, primidone]
  • A. mayNotReduce
    Indicates that one entity is prohibited from decreasing, diminishing, or lowering some quantity, quality, or resource associated with another entity.
  • B. inhibitedByDrug
    Indicates that the activity, function, or effect of one entity is reduced, blocked, or otherwise suppressed due to the action of a specified drug.
  • C. opposesEffectOf chosen
    Indicates that one entity counteracts, reduces, or nullifies the effect produced by another entity.
  • D. hasPharmacologicalEffect
    Indicates that one entity produces a specific pharmacological effect or action on another entity.
  • E. possibleSideEffect
    Indicates that one entity may occur as a side effect or unintended consequence of another entity or action.
  • 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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bb3795fc8190bfcb00d45aa887a1 completed May 3, 2026, 3:04 a.m.
PD Predicate disambiguation batch_69f6b3aa892481908d29283a074e6722 completed May 3, 2026, 2:32 a.m.
Created at: May 1, 2026, 12:35 a.m.