Triple
T2909849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Tropics Hazards Outlook |
E63654
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | tropical climate outlook |
C3904
|
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: tropical climate outlook Context triple: [Global Tropics Hazards Outlook, instanceOf, tropical climate outlook]
-
A.
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.
-
B.
tropical fruit
A tropical fruit is an edible, often sweet and aromatic plant product that grows in warm, humid climates near the equator, such as mangoes, pineapples, and papayas.
-
C.
climate phenomenon
chosen
A climate phenomenon is a recurring or notable pattern or event in the Earth’s climate system, such as El Niño or monsoon cycles, that significantly influences weather and environmental conditions over large regions and timescales.
-
D.
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.
-
E.
meteorological organization
A meteorological organization is an entity responsible for observing, analyzing, and forecasting atmospheric conditions to support weather prediction, climate monitoring, and related public and scientific services.
- 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_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
Created at: March 6, 2026, 10:11 p.m.