Triple
T36463764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takifugu rubripes |
E898369
|
entity |
| Predicate | aquaculture |
P72915
|
FINISHED |
| Object | farmed species |
—
|
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: farmed species | Statement: [Takifugu rubripes, aquaculture, farmed species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aquaculture Context triple: [Takifugu rubripes, aquaculture, farmed species]
-
A.
aquacultureMethod
Indicates the method or technique used to cultivate aquatic organisms in controlled water environments.
-
B.
aquacultureAdvantage
Indicates that engaging in aquaculture provides a benefit, improvement, or positive outcome relative to some alternative or baseline.
-
C.
aquacultureProduct
chosen
Indicates that something is a product derived from aquaculture activities, such as the farming or cultivation of aquatic organisms.
-
D.
aquacultureImportance
Indicates the degree to which aquaculture plays a significant or critical role in or has impact on a given entity, system, or context.
-
E.
fisheries
Indicates that an entity is engaged in, associated with, or responsible for the activity, management, or industry of catching, raising, or harvesting fish and other aquatic organisms.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.