Triple

T300388
Position Surface form Disambiguated ID Type / Status
Subject HL7 standards E6183 entity
Predicate includes P1393 FINISHED
Object HL7 reference information model
The HL7 Reference Information Model is a foundational, abstract data model that defines the core clinical and administrative concepts and their relationships used to ensure semantic interoperability across HL7 healthcare messaging and standards.
E6183 NE FINISHED

How this triple was built (4 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: HL7 reference information model | Statement: [HL7 standards, includes, HL7 reference information model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HL7 reference information model
Context triple: [HL7 standards, includes, HL7 reference information model]
  • A. 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.
  • B. SNOMED CT
    SNOMED CT is a comprehensive, multilingual clinical healthcare terminology used worldwide to standardize the recording and sharing of medical information in electronic health records.
  • C. IHE Patient Care Device profiles
    IHE Patient Care Device profiles are interoperability specifications that define how medical devices integrate and exchange data within healthcare IT systems to support safe, coordinated patient care.
  • D. Integrating the Healthcare Enterprise
    Integrating the Healthcare Enterprise (IHE) is an initiative by healthcare professionals and industry to improve the way computer systems in healthcare share information by promoting the coordinated use of established standards.
  • E. IEEE 11073 medical device communication standards
    IEEE 11073 medical device communication standards are a family of international standards that define interoperable data exchange and integration between medical devices and healthcare information systems.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: HL7 reference information model
Triple: [HL7 standards, includes, HL7 reference information model]
Generated description
The HL7 Reference Information Model is a foundational, abstract data model that defines the core clinical and administrative concepts and their relationships used to ensure semantic interoperability across HL7 healthcare messaging and standards.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: HL7 reference information model
Target entity description: The HL7 Reference Information Model is a foundational, abstract data model that defines the core clinical and administrative concepts and their relationships used to ensure semantic interoperability across HL7 healthcare messaging and standards.
  • A. HL7 standards chosen
    HL7 standards are a widely adopted set of international specifications for the exchange, integration, sharing, and retrieval of electronic health information between healthcare systems.
  • B. SNOMED CT
    SNOMED CT is a comprehensive, multilingual clinical healthcare terminology used worldwide to standardize the recording and sharing of medical information in electronic health records.
  • C. IHE Patient Care Device profiles
    IHE Patient Care Device profiles are interoperability specifications that define how medical devices integrate and exchange data within healthcare IT systems to support safe, coordinated patient care.
  • D. Integrating the Healthcare Enterprise
    Integrating the Healthcare Enterprise (IHE) is an initiative by healthcare professionals and industry to improve the way computer systems in healthcare share information by promoting the coordinated use of established standards.
  • E. IEEE 11073 medical device communication standards
    IEEE 11073 medical device communication standards are a family of international standards that define interoperable data exchange and integration between medical devices and healthcare information systems.
  • F. None of above.

Provenance (5 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e9e6a8308190b9bd15310e324504 completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b47185f48190813159f932c0af9a completed March 1, 2026, 3:37 a.m.
NEDg Description generation batch_69a3b4da227c8190bb172bb78484ce46 completed March 1, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_69a3b52e995c819084fe2b4983f6cfcc completed March 1, 2026, 3:40 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.