Triple
T36157601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flora of China |
E1045778
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | biodiversity of China |
C53671
|
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: biodiversity of China Context triple: [Flora of China, instanceOf, biodiversity of China]
-
A.
biodiversity component
chosen
A biodiversity component is a distinct element of biological diversity—such as genes, species, populations, habitats, or ecosystems—that contributes to the variety and functioning of life within a given area or system.
-
B.
biodiversity database
A biodiversity database is a structured digital repository that stores, organizes, and provides access to data on species, their distributions, traits, and ecological relationships to support research, conservation, and environmental management.
-
C.
biodiversity assessment
Biodiversity assessment is the systematic evaluation and measurement of the variety, abundance, and distribution of species, genes, and ecosystems within a defined area to understand ecological health and inform conservation decisions.
-
D.
biodiversity of Argentina
The biodiversity of Argentina encompasses a vast array of ecosystems—from subtropical rainforests and Andean highlands to Patagonian steppes and marine habitats—supporting an exceptional richness of plant and animal species, many of them endemic and of high conservation value.
-
E.
biodiversity hotspot
A biodiversity hotspot is a biogeographic region with exceptionally high levels of species richness and endemism that is under significant threat from human activities.
- 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_69f76e38903c8190a52887620f90aabe |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.