Triple
T7930954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flatiron Health |
E184186
|
entity |
| Predicate | offers |
P178
|
FINISHED |
| Object | OncoEMR |
E113253
|
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: OncoEMR | Statement: [Flatiron Health, offers, OncoEMR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OncoEMR Context triple: [Flatiron Health, offers, OncoEMR]
-
A.
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.
-
B.
Allscripts
chosen
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.
-
C.
Cloud Healthcare API
Cloud Healthcare API is a Google Cloud service that enables secure storage, management, and exchange of healthcare data using standard formats like HL7, FHIR, and DICOM.
-
D.
OpenMRS
OpenMRS is an open-source medical record system platform widely used in resource-constrained settings to improve healthcare delivery and data management.
-
E.
ClinicalKey
ClinicalKey is a comprehensive clinical search engine and decision-support platform for healthcare professionals, providing access to medical textbooks, journals, guidelines, and multimedia content.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3accc388819087065ebe7d5d9591 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c01602081908ea1af24785260ff |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:07 p.m.