Triple
T1996644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nile tilapia |
E43373
|
entity |
| Predicate | aquacultureAdvantage |
P35346
|
FINISHED |
| Object | tolerant of low dissolved oxygen |
—
|
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: tolerant of low dissolved oxygen | Statement: [Nile tilapia, aquacultureAdvantage, tolerant of low dissolved oxygen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aquacultureAdvantage Context triple: [Nile tilapia, aquacultureAdvantage, tolerant of low dissolved oxygen]
-
A.
fisheryType
Indicates the specific category or kind of fishery associated with an entity, such as its operational or regulatory classification.
-
B.
aquariumSection
Indicates a specific section or area within an aquarium to which something (e.g., an exhibit, organism, or object) is assigned or located.
-
C.
marineLifeTrend
Indicates a change over time in the abundance, health, or distribution of marine life populations.
-
D.
aquariumName
Indicates that an entity has the specified name of an aquarium.
-
E.
fishFamily
Indicates that one entity is a member of the same biological family (taxonomic family) of fishes as the other entity.
- 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_69a88714cf2c819081644be450b8356e |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb79c97d48190b3147430ed39faa9 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb90ec7948190bbfb0329e9e67cca |
completed | March 7, 2026, 5:35 a.m. |
Created at: March 4, 2026, 7:37 p.m.