Triple

T29606118
Position Surface form Disambiguated ID Type / Status
Subject Basic Patient Privacy Consents E754580 entity
Predicate representsConsentAs P193543 FINISHED
Object CDA document 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: CDA document | Statement: [Basic Patient Privacy Consents, representsConsentAs, CDA document]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representsConsentAs
Context triple: [Basic Patient Privacy Consents, representsConsentAs, CDA document]
  • A. consentType
    Indicates the specific kind or category of consent that has been given, requested, or recorded in the relationship.
  • B. consentAuthority
    Indicates that one entity has the legal or formal authority to give, withhold, or manage consent on behalf of another entity or for a particular action or process.
  • C. hasGivenConsentFor
    Indicates that one entity has granted permission or approval for a specific action, process, or use involving another entity or resource.
  • D. isConsentOrder
    Indicates that a given legal or regulatory decision is a consent order, i.e., an order entered by agreement of the involved parties rather than imposed unilaterally.
  • E. consentIssue
    Indicates that there is a problem, concern, or irregularity related to obtaining, giving, or validating consent between the involved entities.
  • F. None of above. chosen

Provenance (4 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_69f0ef84e5d08190a0df17f5930ceed3 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69fd49f6dbac81909744373a357b7982 completed May 8, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69fd48ed68f481908374183c66a6b055 completed May 8, 2026, 2:22 a.m.
PDg Predicate description generation batch_69fd49f612a4819096fe7d5a3bb439ba completed May 8, 2026, 2:27 a.m.
Created at: April 28, 2026, 6:25 p.m.