Triple

T19436084
Position Surface form Disambiguated ID Type / Status
Subject Care Everywhere E486227 entity
Predicate supportsStandard P1587 FINISHED
Object C-CDA NE NERFINISHED

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: C-CDA | Statement: [Care Everywhere, supportsStandard, C-CDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C-CDA
Context triple: [Care Everywhere, supportsStandard, C-CDA]
  • A. CDSS
    CDSS is the state agency in California responsible for overseeing social services programs such as welfare, child welfare, and community care licensing.
  • B. HL7 standards
    HL7 standards are a widely adopted set of international specifications for the exchange, integration, sharing, and retrieval of electronic health information between healthcare systems.
  • C. Clinical Document Architecture chosen
    Clinical Document Architecture is an HL7 standard that defines the structure and semantics of electronic clinical documents to enable consistent exchange and interoperability in healthcare.
  • D. FHIR
    FHIR (Fast Healthcare Interoperability Resources) is a standard for exchanging healthcare information electronically, designed to enable easy, secure, and interoperable data sharing between different health IT systems.
  • E. DICOM Coded Terminology
    DICOM Coded Terminology is a standardized set of medical imaging codes and concepts used within the DICOM framework to ensure consistent, interoperable representation of clinical and imaging information.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6336001488190a05f372779711ed2 completed April 20, 2026, 2:08 p.m.
Created at: April 10, 2026, 1:38 p.m.