Triple

T37724729
Position Surface form Disambiguated ID Type / Status
Subject Lennox–Gastaut syndrome E939685 entity
Predicate hasSeizureType P94932 FINISHED
Object tonic seizures 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: tonic seizures | Statement: [Lennox–Gastaut syndrome, hasSeizureType, tonic seizures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeizureType
Context triple: [Lennox–Gastaut syndrome, hasSeizureType, tonic seizures]
  • A. hasTypicalSeizureType chosen
    Indicates that an entity is associated with or characterized by a particular usual or predominant type of seizure.
  • B. methodOfSeizure
    Indicates the manner or technique by which something is taken, captured, or seized.
  • C. hasEpilepticProtagonist
    Indicates that the work features a main character who has epilepsy.
  • D. seizureContext
    Indicates the situational or clinical circumstances under which a seizure occurs or is observed.
  • E. hasDisorderType
    Indicates that an entity is associated with, or classified under, a specific type or category of disorder.
  • 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_69f76edc208c8190bc8b9683f75e1024 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a00a094c44c81908e4501151688a635 completed May 10, 2026, 3:13 p.m.
PD Predicate disambiguation batch_6a009fcdfd848190841deaad9667d347 completed May 10, 2026, 3:10 p.m.
Created at: May 3, 2026, 4:18 p.m.