Triple

T19436328
Position Surface form Disambiguated ID Type / Status
Subject Epic Resolute E486232 entity
Predicate integratesWith P1075 FINISHED
Object EpicCare Ambulatory 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: EpicCare Ambulatory | Statement: [Epic Resolute, integratesWith, EpicCare Ambulatory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EpicCare Ambulatory
Context triple: [Epic Resolute, integratesWith, EpicCare Ambulatory]
  • A. Allscripts
    Allscripts is a healthcare information technology company known for providing electronic health record (EHR), practice management, and related software solutions to hospitals and physician practices.
  • B. NextGen Healthcare
    NextGen Healthcare is a U.S.-based health IT company that provides electronic health record, practice management, and related software solutions for medical practices and healthcare organizations.
  • C. MEDITECH
    MEDITECH is a healthcare information technology company best known for providing electronic health record (EHR) and hospital information systems to healthcare organizations.
  • D. EMR Regional
    EMR Regional is a UK passenger rail service brand used by East Midlands Railway for its regional and local train operations across the East Midlands and surrounding areas.
  • E. Paradigm4
    Paradigm4 is a data analytics software company known for developing the SciDB array database system for large-scale scientific and complex data analysis.
  • 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: EpicCare Ambulatory
Target entity description: EpicCare Ambulatory is Epic Systems’ electronic health record module designed to support clinical workflows and documentation in outpatient and ambulatory care settings.
  • A. Allscripts
    Allscripts is a healthcare information technology company known for providing electronic health record (EHR), practice management, and related software solutions to hospitals and physician practices.
  • B. NextGen Healthcare
    NextGen Healthcare is a U.S.-based health IT company that provides electronic health record, practice management, and related software solutions for medical practices and healthcare organizations.
  • C. MEDITECH
    MEDITECH is a healthcare information technology company best known for providing electronic health record (EHR) and hospital information systems to healthcare organizations.
  • D. EMR Regional
    EMR Regional is a UK passenger rail service brand used by East Midlands Railway for its regional and local train operations across the East Midlands and surrounding areas.
  • E. Paradigm4
    Paradigm4 is a data analytics software company known for developing the SciDB array database system for large-scale scientific and complex data analysis.
  • F. None of above. chosen

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.