Triple
T19436419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epic Beacon |
E486234
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | oncology information system |
C16823
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: oncology information system Context triple: [Epic Beacon, instanceOf, oncology information system]
-
A.
oncology prognostic index
An oncology prognostic index is a composite scoring system that integrates clinical, pathological, and sometimes molecular factors to estimate a cancer patient’s likely disease course and outcomes, such as survival or risk of recurrence.
-
B.
cancer statistics compendium
A cancer statistics compendium is a comprehensive, systematically organized collection of data and analyses on cancer incidence, prevalence, mortality, survival, and related epidemiological trends across populations and time.
-
C.
electronic health record system
chosen
An electronic health record system is a digital platform that securely collects, stores, manages, and shares patients’ health information to support clinical care, coordination, and decision-making.
-
D.
cancer treatment protocol
A cancer treatment protocol is a structured, evidence-based plan that outlines the specific therapies, dosages, schedules, and monitoring procedures used to treat a particular type and stage of cancer.
-
E.
healthcare analytics platform
A healthcare analytics platform is a system that aggregates, processes, and analyzes clinical, operational, and financial health data to generate insights that improve patient outcomes, optimize workflows, and support data-driven decision-making.
- F. None of above.
Provenance (1 batch)
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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
Created at: April 10, 2026, 1:38 p.m.