Triple

T22813008
Position Surface form Disambiguated ID Type / Status
Subject IT for learning, education and training E565031 entity
Predicate relatesToStandard P19701 FINISHED
Object IMS Question and Test Interoperability
IMS Question and Test Interoperability is a widely used e-learning specification that defines a standard format for creating, sharing, and delivering assessment content such as questions, tests, and results across different educational systems.
E1555501 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: IMS Question and Test Interoperability | Statement: [IT for learning, education and training, relatesToStandard, IMS Question and Test Interoperability]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IMS Question and Test Interoperability
Context triple: [IT for learning, education and training, relatesToStandard, IMS Question and Test Interoperability]
  • A. IHE Cross-Community Access
    IHE Cross-Community Access (XCA) is an Integrating the Healthcare Enterprise profile that enables the discovery and retrieval of patients’ clinical documents across different healthcare communities and organizations.
  • B. International Standard for Testing and Investigations
    The International Standard for Testing and Investigations is a key technical document under the World Anti-Doping Code that sets out detailed rules and procedures for athlete testing and anti-doping investigations worldwide.
  • C. IHE Technical Framework
    The IHE Technical Framework is a set of detailed interoperability specifications and implementation guidelines developed by Integrating the Healthcare Enterprise to enable consistent, standards-based information exchange across healthcare systems.
  • D. IHE Connectathon
    IHE Connectathon is a large-scale, vendor-neutral testing event where healthcare IT systems are evaluated for interoperability using Integrating the Healthcare Enterprise (IHE) profiles.
  • E. 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.
  • 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: IMS Question and Test Interoperability
Triple: [IT for learning, education and training, relatesToStandard, IMS Question and Test Interoperability]
Generated description
IMS Question and Test Interoperability is a widely used e-learning specification that defines a standard format for creating, sharing, and delivering assessment content such as questions, tests, and results across different educational systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: IMS Question and Test Interoperability
Target entity description: IMS Question and Test Interoperability is a widely used e-learning specification that defines a standard format for creating, sharing, and delivering assessment content such as questions, tests, and results across different educational systems.
  • A. IHE Cross-Community Access
    IHE Cross-Community Access (XCA) is an Integrating the Healthcare Enterprise profile that enables the discovery and retrieval of patients’ clinical documents across different healthcare communities and organizations.
  • B. International Standard for Testing and Investigations
    The International Standard for Testing and Investigations is a key technical document under the World Anti-Doping Code that sets out detailed rules and procedures for athlete testing and anti-doping investigations worldwide.
  • C. IHE Technical Framework
    The IHE Technical Framework is a set of detailed interoperability specifications and implementation guidelines developed by Integrating the Healthcare Enterprise to enable consistent, standards-based information exchange across healthcare systems.
  • D. IHE Connectathon
    IHE Connectathon is a large-scale, vendor-neutral testing event where healthcare IT systems are evaluated for interoperability using Integrating the Healthcare Enterprise (IHE) profiles.
  • E. 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.
  • F. None of above. chosen

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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d61c6f081908d3911710b3aff51 completed April 29, 2026, 3:39 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9ea1d6308190bf37f8a37d5be5f6 completed May 18, 2026, 11:20 p.m.
NEDg Description generation batch_6a0ba0aa6b04819097d75601cb25c6ef completed May 18, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba149b79c8190abfd2b285f8e3e3c completed May 18, 2026, 11:31 p.m.
Created at: April 17, 2026, 3:32 p.m.