Triple

T16284974
Position Surface form Disambiguated ID Type / Status
Subject Simulium E395365 entity
Predicate medicalImportance P54025 FINISHED
Object major vector of human onchocerciasis 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: major vector of human onchocerciasis | Statement: [Simulium, medicalImportance, major vector of human onchocerciasis]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: medicalImportance
Context triple: [Simulium, medicalImportance, major vector of human onchocerciasis]
  • A. medicalBackground
    Indicates that an entity has a history of prior medical conditions, treatments, or health-related experiences relevant to its current state or context.
  • B. medicalText
    Indicates that the subject is a piece of text whose content is medical in nature, such as clinical, diagnostic, or health-related information.
  • C. publicHealthSignificance chosen
    Indicates that something has importance, impact, or relevance for the health of the public or population at large.
  • D. healthRationale
    Indicates the reasoning or justification behind an assessment, decision, or action related to health.
  • E. clinicalEmphasis
    Indicates a focus or priority placed on clinical aspects, practices, or outcomes within a given context or activity.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24913a55081909a9a5a7a7f4806cc completed April 17, 2026, 2:52 p.m.
PD Predicate disambiguation batch_69e219f68d308190b71c1601303f0628 completed April 17, 2026, 11:31 a.m.
Created at: April 10, 2026, 5:05 a.m.