Triple
T34835917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lingnan garden |
E1004195
|
entity |
| Predicate | hasRegionalClimateAdaptation |
—
|
GENERATED |
| Object | hot and humid climate |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionalClimateAdaptation Context triple: [Lingnan garden, hasRegionalClimateAdaptation, hot and humid climate]
-
A.
hasClimateAdaptation
chosen
Indicates that an entity possesses measures, features, or strategies designed to adjust to and cope with current or anticipated climate change impacts.
-
B.
hasClimateAdvantage
Indicates that one entity possesses a more favorable or beneficial climate condition compared to another entity or context.
-
C.
adaptationCountry
Indicates the country in which an adaptation (such as a remake, translation, or localized version) of an original work is produced or set.
-
D.
hasClimateContext
Indicates that something is associated with, influenced by, or relevant to climate-related conditions, factors, or considerations.
-
E.
nativeToClimate
Indicates that an entity naturally originates from or is originally adapted to a specified climate or climatic region.
- 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_69f76db7d1b4819093bd4912d80d845d |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4 p.m.