Triple
T3900843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BC2 |
E90483
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | analytico-synthetic classification system |
C3598
|
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: analytico-synthetic classification system Context triple: [BC2, instanceOf, analytico-synthetic classification system]
-
A.
taxonomic system
chosen
A taxonomic system is an organized framework for classifying and naming entities—such as organisms, objects, or concepts—into hierarchical categories based on shared characteristics and relationships.
-
B.
survey-based classification system
A survey-based classification system is a framework that categorizes individuals, groups, or entities into defined segments based on their responses to structured questionnaires or assessments.
-
C.
angiosperm classification system
An angiosperm classification system is a structured framework used to organize and categorize flowering plants into hierarchical groups based on shared morphological, genetic, and evolutionary characteristics.
-
D.
goods classification system
A goods classification system is a structured framework for categorizing products based on shared characteristics, such as type, use, material, or regulatory requirements, to enable consistent identification, management, and analysis.
-
E.
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.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.