Triple
T10827713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OpenMRS |
E255536
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | OpenMRS Platform |
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 Platform | Statement: [OpenMRS, hasComponent, OpenMRS Platform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OpenMRS Platform Context triple: [OpenMRS, hasComponent, OpenMRS Platform]
-
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.
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.
-
D.
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.
-
E.
MEDITECH
MEDITECH is a healthcare information technology company best known for providing electronic health record (EHR) and hospital information systems to healthcare organizations.
- 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_69de8592d8f08190ac577395ad7cc557 |
completed | April 14, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:19 p.m.