Triple

T28215861
Position Surface form Disambiguated ID Type / Status
Subject HemoSphere advanced monitoring platform E711310 entity
Predicate clinicalGoal P24604 FINISHED
Object optimize tissue perfusion 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: optimize tissue perfusion | Statement: [HemoSphere advanced monitoring platform, clinicalGoal, optimize tissue perfusion]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: clinicalGoal
Context triple: [HemoSphere advanced monitoring platform, clinicalGoal, optimize tissue perfusion]
  • A. hasTherapeuticGoal chosen
    Indicates that an action, treatment, or intervention is undertaken with the intention of achieving a specific therapeutic or health-related outcome.
  • B. centralGoal
    Indicates that something is the primary objective or main aim around which other actions, plans, or considerations are organized.
  • C. benefitDesignGoal
    Indicates that something contributes positively toward achieving a particular design goal.
  • D. semanticGoal
    Indicates that an entity has a target meaning or intended semantic outcome it aims to achieve or convey.
  • E. strategicGoal
    Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
  • 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_69efb51cb5288190818c1f63a266af11 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f64e37f7fc819083809149b6661e3c completed May 2, 2026, 7:19 p.m.
PD Predicate disambiguation batch_69f64caede108190a35cc7cbfead866f completed May 2, 2026, 7:12 p.m.
Created at: April 27, 2026, 10:43 p.m.