Triple

T19436356
Position Surface form Disambiguated ID Type / Status
Subject Epic Resolute E486232 entity
Predicate supportsStandard P1587 FINISHED
Object ANSI X12 claims formats NE NERFINISHED

How this triple was built (3 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: ANSI X12 claims formats | Statement: [Epic Resolute, supportsStandard, ANSI X12 claims formats]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANSI X12 claims formats
Context triple: [Epic Resolute, supportsStandard, ANSI X12 claims formats]
  • 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. 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.
  • C. ebXML
    ebXML (Electronic Business using eXtensible Markup Language) is a modular suite of open standards that enables secure, interoperable electronic business information exchange over the internet.
  • D. HL7 v3 Reference Information Model
    The HL7 v3 Reference Information Model is a foundational, formal information model that defines the data structures and relationships used for interoperable healthcare information exchange in HL7 Version 3 standards.
  • E. ANSI X3.226-1994
    ANSI X3.226-1994 is the American National Standards Institute specification that formally defines the Common Lisp programming language.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ANSI X12 claims formats
Target entity description: ANSI X12 claims formats are standardized electronic data interchange (EDI) specifications used in the United States healthcare industry to transmit insurance claims and related billing information between providers and payers.
  • 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. HIPAA Transactions and Code Sets standards authority chosen
    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.
  • C. ebXML
    ebXML (Electronic Business using eXtensible Markup Language) is a modular suite of open standards that enables secure, interoperable electronic business information exchange over the internet.
  • D. HL7 v3 Reference Information Model
    The HL7 v3 Reference Information Model is a foundational, formal information model that defines the data structures and relationships used for interoperable healthcare information exchange in HL7 Version 3 standards.
  • E. ANSI X3.226-1994
    ANSI X3.226-1994 is the American National Standards Institute specification that formally defines the Common Lisp programming language.
  • F. None of above.

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.