Triple

T8757959
Position Surface form Disambiguated ID Type / Status
Subject HL7 International E208119 entity
Predicate developsStandard P73 FINISHED
Object HL7 Clinical Quality Language
HL7 Clinical Quality Language is a standardized, human-readable and machine-executable language used to express clinical quality measures and clinical decision support logic in healthcare.
 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 Clinical Quality Language | Statement: [HL7 International, developsStandard, HL7 Clinical Quality Language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HL7 Clinical Quality Language
Context triple: [HL7 International, developsStandard, HL7 Clinical Quality Language]
  • 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. HL7 International
    HL7 International is a global standards organization that develops and promotes frameworks and specifications for the exchange, integration, sharing, and retrieval of electronic health information.
  • C. Regenstrief Institute LOINC Committee
    The Regenstrief Institute LOINC Committee is the expert governing body responsible for developing, maintaining, and overseeing the Logical Observation Identifiers Names and Codes (LOINC) standard for health data interoperability.
  • D. 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.
  • E. HIPAA Transactions and Code Sets standards authority
    HIPAA Transactions and Code Sets standards authority is the regulatory framework that governs the uniform electronic exchange of healthcare administrative and financial data in the United States.
  • 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 Clinical Quality Language
Triple: [HL7 International, developsStandard, HL7 Clinical Quality Language]
Generated description
HL7 Clinical Quality Language is a standardized, human-readable and machine-executable language used to express clinical quality measures and clinical decision support logic in healthcare.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HL7 Clinical Quality Language
Target entity description: HL7 Clinical Quality Language is a standardized, human-readable and machine-executable language used to express clinical quality measures and clinical decision support logic in healthcare.
  • 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. HL7 International
    HL7 International is a global standards organization that develops and promotes frameworks and specifications for the exchange, integration, sharing, and retrieval of electronic health information.
  • C. Regenstrief Institute LOINC Committee
    The Regenstrief Institute LOINC Committee is the expert governing body responsible for developing, maintaining, and overseeing the Logical Observation Identifiers Names and Codes (LOINC) standard for health data interoperability.
  • D. 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.
  • E. HIPAA Transactions and Code Sets standards authority
    HIPAA Transactions and Code Sets standards authority is the regulatory framework that governs the uniform electronic exchange of healthcare administrative and financial data in the United States.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5ddc2d9c81908948aee2b956cce4 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf434232d08190bfee6f5ec1c0b5a6 completed April 3, 2026, 4:34 a.m.
NEDg Description generation batch_69cf4569352c819089745287789d0b70 completed April 3, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf45d053248190b7f7a5e2646d31b4 completed April 3, 2026, 4:45 a.m.
Created at: March 30, 2026, 6:40 p.m.