Triple
T35842329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Hamana |
E1036117
|
entity |
| Predicate | supportsAquacultureOf |
—
|
GENERATED |
| Object | Japanese eel |
—
|
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: supportsAquacultureOf Context triple: [Lake Hamana, supportsAquacultureOf, Japanese eel]
-
A.
supportsFishery
Indicates that one entity provides resources, conditions, or actions that maintain or enhance the viability of a fishery.
-
B.
aquacultureAdvantage
Indicates that engaging in aquaculture provides a benefit, improvement, or positive outcome relative to some alternative or baseline.
-
C.
isAquacultureSite
chosen
Indicates that a location or facility is used for breeding, rearing, or harvesting aquatic organisms under controlled conditions.
-
D.
aquacultureMethod
Indicates the method or technique used to cultivate aquatic organisms in controlled water environments.
-
E.
aquacultureImportance
Indicates the degree to which aquaculture plays a significant or critical role in or has impact on a given entity, system, or context.
- 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.