Triple

T38115415
Position Surface form Disambiguated ID Type / Status
Subject Augusto Odone E951774 entity
Predicate treatmentDevelopedClass P69333 FINISHED
Object dietary therapy 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: dietary therapy | Statement: [Augusto Odone, treatmentDevelopedClass, dietary therapy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: treatmentDevelopedClass
Context triple: [Augusto Odone, treatmentDevelopedClass, dietary therapy]
  • A. developsTreatmentFor chosen
    Indicates that one entity creates or advances a medical or therapeutic intervention intended to address a condition, disease, or problem affecting another entity.
  • B. treatmentType
    Indicates the specific kind or category of treatment applied or prescribed in relation to an entity or condition.
  • C. therapeuticClassStudied
    Indicates that a particular therapeutic class is the focus or subject of a study or investigation.
  • D. 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).
  • E. developedDrugFor
    Indicates that one entity created or formulated a drug intended to treat or address a medical condition associated with another entity.
  • 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_69f76f07734c8190814e937e12257a78 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fccbd826708190b5fab12c4236299a completed May 7, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69fcc58838e08190b8fa54aa5c165f2d completed May 7, 2026, 5:02 p.m.
Created at: May 3, 2026, 4:21 p.m.