Triple
T34668202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nototheniidae |
E890308
|
entity |
| Predicate | buoyancyStrategy |
P134318
|
FINISHED |
| Object | increased lipid content in some 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: increased lipid content in some species | Statement: [Nototheniidae, buoyancyStrategy, increased lipid content in some species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buoyancyStrategy Context triple: [Nototheniidae, buoyancyStrategy, increased lipid content in some species]
-
A.
buoyancyStructure
Indicates a structural relationship where one entity provides buoyant support or flotation capability for another.
-
B.
haveBuoyancyAdaptation
chosen
Indicates that an entity possesses adaptations or mechanisms that enable it to control or maintain its buoyancy in a fluid environment.
-
C.
freelyFloating
Indicates that an entity is not fixed or attached to anything and can move or remain suspended without constraint in a surrounding medium.
-
D.
usesLiftingGas
Indicates that an object or vehicle operates by employing a lighter-than-air lifting gas to generate buoyant lift.
-
E.
floatedOn
Indicates that one entity was supported by and moved on the surface of a liquid or fluid medium.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f722f904b0819091ffa4ea4621e8b4 |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.