Triple
T2270886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acipenseriformes |
E50653
|
entity |
| Predicate | feedingAdaptation |
P16676
|
FINISHED |
| Object | barbels around mouth in sturgeons |
—
|
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: barbels around mouth in sturgeons | Statement: [Acipenseriformes, feedingAdaptation, barbels around mouth in sturgeons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feedingAdaptation Context triple: [Acipenseriformes, feedingAdaptation, barbels around mouth in sturgeons]
-
A.
feedingType
Indicates the manner or method by which one entity provides nourishment or food to another.
-
B.
feedingStructure
chosen
Indicates a relationship where one entity serves as the anatomical or mechanical structure used by another entity to obtain or ingest food.
-
C.
feedConversionEfficiency
Indicates how efficiently input feed is converted into desired output (such as growth, product, or energy) in a biological or production system.
-
D.
includesFeedingType
Indicates that one entity encompasses or specifies a particular type or category of feeding associated with another entity.
-
E.
primaryFood
Indicates that one entity serves as the main or most important food source for another entity.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc39c6ff0819081a07696f1c29990 |
completed | March 7, 2026, 6:20 a.m. |
| PD | Predicate disambiguation | batch_69abbdb7719081909143efa8f48df4e4 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.