Triple

T16851915
Position Surface form Disambiguated ID Type / Status
Subject Truvada E409694 entity
Predicate requiresCombinationForTreatment P31279 FINISHED
Object yes 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: yes | Statement: [Truvada, requiresCombinationForTreatment, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiresCombinationForTreatment
Context triple: [Truvada, requiresCombinationForTreatment, yes]
  • A. hasCommonTreatment
    Indicates that two or more entities share at least one treatment method or therapeutic approach in common.
  • B. treatmentIndication
    Indicates that a treatment is intended to address, alleviate, or prevent a particular condition, symptom, or medical indication.
  • C. usesTreatment
    Indicates that one entity applies or employs a particular treatment or therapeutic method on or for another entity.
  • D. isIndicatedAsMonotherapyFor
    Indicates that a treatment is recommended or used alone, without combination with other therapies, for a particular condition or purpose.
  • E. requiresComplement chosen
    Indicates that one entity depends on another entity as a necessary complement to be complete, functional, or valid.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b379b8fc81908d8bc9950c7f8bad completed April 18, 2026, 4:38 p.m.
PD Predicate disambiguation batch_69e32b8cbb048190878a259cc5be960e completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:24 a.m.