Triple

T8755568
Position Surface form Disambiguated ID Type / Status
Subject XUA E208064 entity
Predicate definedByOrganization P22595 FINISHED
Object Integrating the Healthcare Enterprise E38993 NE FINISHED

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: Integrating the Healthcare Enterprise | Statement: [XUA, definedByOrganization, Integrating the Healthcare Enterprise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Integrating the Healthcare Enterprise
Context triple: [XUA, definedByOrganization, Integrating the Healthcare Enterprise]
  • A. Integrating the Healthcare Enterprise chosen
    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.
  • B. Fast Healthcare Interoperability Resources
    Fast Healthcare Interoperability Resources (FHIR) is a modern, web-based standard for exchanging electronic healthcare information between systems in a consistent and interoperable way.
  • C. Centre for Collaboration with Systems for Health Meta-systems
    The Centre for Collaboration with Systems for Health Meta-systems is a research and coordination unit focused on systems-based approaches to improving public health and healthcare collaboration.
  • D. Centre for Collaboration with Systems for Health Information Networks
    The Centre for Collaboration with Systems for Health Information Networks is a specialized unit within Norway’s public health sector that focuses on coordinating and improving digital health information systems and data sharing for public health purposes.
  • E. Centre for Collaboration with Systems for Health Management Systems
    The Centre for Collaboration with Systems for Health Management Systems is a specialized unit within the Norwegian Institute of Public Health focused on improving health management through collaborative development and integration of health information systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69cc5dd95e9481909cc88e8d91601754 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1b953448190bac2c222fcc722bb completed April 3, 2026, 1:33 p.m.
Created at: March 30, 2026, 6:39 p.m.