Triple
T25929078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madagascar dry deciduous forests |
E653385
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | dry deciduous forest |
C13445
|
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: dry deciduous forest Context triple: [Madagascar dry deciduous forests, instanceOf, dry deciduous forest]
-
A.
shrubland ecoregion
A shrubland ecoregion is a terrestrial area dominated by low-growing woody shrubs and sparse trees, shaped by specific climate, soil, and disturbance regimes that support adapted plant and animal communities.
-
B.
semi-arid region
A semi-arid region is a climatic zone characterized by low to moderate rainfall, high evaporation, and sparse vegetation, typically forming a transition between arid deserts and more humid environments.
-
C.
tropical moist broadleaf forest
A tropical moist broadleaf forest is a warm, year-round humid forest ecosystem dominated by dense, tall broadleaf trees, high biodiversity, and layered vegetation with minimal seasonal variation.
-
D.
woodland ecoregion
chosen
A woodland ecoregion is a terrestrial area characterized by a mosaic of trees, shrubs, and open spaces, supporting distinct plant and animal communities adapted to its specific climate, soils, and disturbance regimes.
-
E.
tropical rainforest
A tropical rainforest is a dense, biodiverse forest ecosystem found near the equator, characterized by high rainfall, warm temperatures year-round, and multiple layers of vegetation.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 22, 2026, 8:36 a.m.