Triple
T1858436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harmonized Commodity Description and Coding System |
E41758
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | goods classification system |
C7799
|
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: goods classification system Context triple: [Harmonized Commodity Description and Coding System, instanceOf, goods 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.
recognition category
A recognition category is a mental grouping of stimuli or objects that are treated as equivalent for the purpose of identifying, classifying, or responding to them.
-
C.
plant classification system
A plant classification system is an organized framework that categorizes plants into hierarchical groups based on shared characteristics such as morphology, genetics, and evolutionary relationships.
-
D.
library cataloging standard
A library cataloging standard is a formal set of rules and guidelines that ensures consistent description, organization, and access to library materials across collections and systems.
-
E.
medical classification system
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.
- F. None of above. chosen
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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
Created at: March 4, 2026, 7:33 p.m.