Triple

T10827714
Position Surface form Disambiguated ID Type / Status
Subject OpenMRS E255536 entity
Predicate hasComponent P35 FINISHED
Object OpenMRS Reference Application E255536 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: OpenMRS Reference Application | Statement: [OpenMRS, hasComponent, OpenMRS Reference Application]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenMRS Reference Application
Context triple: [OpenMRS, hasComponent, OpenMRS Reference Application]
  • A. OpenMRS chosen
    OpenMRS is an open-source medical record system platform widely used in resource-constrained settings to improve healthcare delivery and data management.
  • B. GNU Health
    GNU Health is a free, open-source health and hospital information system designed to support public health, primary care, and social medicine, particularly in resource-limited settings.
  • C. Regenstrief Medical Record System
    The Regenstrief Medical Record System is an early, pioneering electronic medical record platform that helped shape modern health informatics and clinical data management practices.
  • D. Flatiron Health
    Flatiron Health is a healthcare technology company that specializes in using real-world oncology data and software to improve cancer care and research.
  • E. FHIR
    FHIR (Fast Healthcare Interoperability Resources) is a standard for exchanging healthcare information electronically, designed to enable easy, secure, and interoperable data sharing between different health IT 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d2b9f88190b79a7b168d7836c8 completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb1096cbc81908f3eda562c2da042 completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:19 p.m.