Triple
T33720801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madagascar rainbowfishes |
E864005
|
entity |
| Predicate | aquariumCare |
P95121
|
FINISHED |
| Object | prefer clean well-oxygenated water |
—
|
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: prefer clean well-oxygenated water | Statement: [Madagascar rainbowfishes, aquariumCare, prefer clean well-oxygenated water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aquariumCare Context triple: [Madagascar rainbowfishes, aquariumCare, prefer clean well-oxygenated water]
-
A.
aquariumSection
Indicates a specific section or area within an aquarium to which something (e.g., an exhibit, organism, or object) is assigned or located.
-
B.
aquariumTrade
Indicates that an entity is involved in the commercial trade or collection of organisms for keeping in aquariums.
-
C.
aquariumCareLevel
Indicates the level of difficulty or amount of effort required to properly care for and maintain an aquarium.
-
D.
aquariumRequirement
chosen
Indicates that an entity has specific needs or conditions related to being kept in an aquarium.
-
E.
aquariumBehavior
Indicates behavior or actions performed by an entity within the context of an aquarium environment.
- 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_69f34989871c81908682e22a2fe4b829 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6faeac9288190ac7ce78ea3cdb622 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.