Triple
T19764592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumamoto oysters |
E474718
|
entity |
| Predicate | aquacultureMethod |
P137234
|
FINISHED |
| Object | suspended culture |
—
|
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: suspended culture | Statement: [Kumamoto oysters, aquacultureMethod, suspended culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aquacultureMethod Context triple: [Kumamoto oysters, aquacultureMethod, suspended culture]
-
A.
aquacultureAdvantage
Indicates that engaging in aquaculture provides a benefit, improvement, or positive outcome relative to some alternative or baseline.
-
B.
aquacultureProduct
Indicates that something is a product derived from aquaculture activities, such as the farming or cultivation of aquatic organisms.
-
C.
aquacultureImportance
Indicates the degree to which aquaculture plays a significant or critical role in or has impact on a given entity, system, or context.
-
D.
fisheryType
Indicates the specific category or kind of fishery associated with an entity, such as its operational or regulatory classification.
-
E.
fishTypeProduced
Indicates that one entity produces, yields, or is the source of a particular type of fish as an output or product.
- F. None of above. chosen
Provenance (4 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65321a35c819084556118ad4ef1ee |
completed | April 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:48 p.m.