Triple

T35329450
Position Surface form Disambiguated ID Type / Status
Subject HIA Desgenettes E1020277 entity
Predicate providesDeploymentMedicalPreparation P2534 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: [HIA Desgenettes, providesDeploymentMedicalPreparation, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: providesDeploymentMedicalPreparation
Context triple: [HIA Desgenettes, providesDeploymentMedicalPreparation, yes]
  • A. requiresPremedication
    Indicates that one entity must receive premedication (a preparatory medical treatment) before another specified procedure, treatment, or action can occur.
  • B. requiresMedicalClearance
    Indicates that one entity must obtain formal approval from a qualified medical authority before engaging in, accessing, or proceeding with the other entity or activity.
  • C. preparationInvolved
    Indicates that a particular preparation, process, or setup is involved in enabling or carrying out an action, event, or relationship.
  • D. backupMedicalAuthority
    Indicates that one entity serves as a secondary or fallback medical decision-making authority for another entity if the primary authority is unavailable or unable to act.
  • E. preparesFor chosen
    Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, 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_69f76deacf4481908e7735a5a7715b0a completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fe78e545888190a239af1a84280fa0 completed May 8, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69fe7842742081908043eb950ed69f92 completed May 8, 2026, 11:56 p.m.
Created at: May 3, 2026, 4:03 p.m.