Triple

T23399821
Position Surface form Disambiguated ID Type / Status
Subject John Cunningham virus E559471 entity
Predicate treatmentChallenge P31731 FINISHED
Object no specific antiviral therapy with proven efficacy 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: no specific antiviral therapy with proven efficacy | Statement: [John Cunningham virus, treatmentChallenge, no specific antiviral therapy with proven efficacy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: treatmentChallenge
Context triple: [John Cunningham virus, treatmentChallenge, no specific antiviral therapy with proven efficacy]
  • A. treatment
    Indicates that one entity is used as a medical or therapeutic intervention to address, manage, or cure a condition affecting another entity.
  • B. challengedPractice
    Indicates that one entity has questioned, disputed, or formally opposed the validity, appropriateness, or continuation of another entity’s practice or procedure.
  • C. treatmentOf
    Indicates a relationship where one entity administers, provides, or is responsible for a therapeutic intervention directed toward another entity (typically a patient or condition).
  • D. challengeType chosen
    Indicates the specific category or kind of challenge associated with an action or relationship between entities.
  • E. trainingChallenges
    Indicates difficulties, obstacles, or problems encountered during a training process or training-related activities.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4dedfcc8190ab93cec3c3d15c53 completed April 29, 2026, 6:27 a.m.
PD Predicate disambiguation batch_69f061dde2e481908308952f9c0d3c2e completed April 28, 2026, 7:29 a.m.
Created at: April 17, 2026, 5:37 p.m.