Triple
T35842329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Hamana |
E1036117
|
entity |
| Predicate | supportsAquacultureOf |
P164147
|
FINISHED |
| Object | Japanese eel |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Japanese eel | Statement: [Lake Hamana, supportsAquacultureOf, Japanese eel]
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 (3 batches)
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. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.