Triple
T38232371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASA Physical Status Classification System |
E1013522
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | preoperative health classification system |
C1782
|
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: preoperative health classification system Context triple: [ASA Physical Status Classification System, instanceOf, preoperative health classification system]
-
A.
health classification system
A health classification system is a structured framework used to categorize and code health-related conditions, statuses, and services for consistent recording, analysis, and decision-making.
-
B.
fell classification system
A fell classification system is a structured method for categorizing upland or mountainous terrain based on characteristics such as elevation, prominence, topography, and sometimes cultural or regional significance.
-
C.
medical classification system
chosen
A medical classification system is an organized framework that categorizes diseases, conditions, procedures, and related health information using standardized codes to support diagnosis, treatment, research, and healthcare administration.
-
D.
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.
-
E.
clinical reference classification
A clinical reference classification is a structured system that organizes medical concepts, diagnoses, procedures, or other health-related information into standardized categories to support consistent documentation, analysis, and communication in healthcare.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.