Triple
T30844530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helianthus tuberosus |
E785598
|
entity |
| Predicate | tuberStarchContent |
P165919
|
FINISHED |
| Object | low |
—
|
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: low | Statement: [Helianthus tuberosus, tuberStarchContent, low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tuberStarchContent Context triple: [Helianthus tuberosus, tuberStarchContent, low]
-
A.
hasAmyloseContent
Indicates that an entity (typically a food or plant material) possesses a specified amount or proportion of amylose in its starch content.
-
B.
starchStoredIn
chosen
Indicates that starch is kept, accumulated, or contained within a particular location or structure.
-
C.
sugarContentCategory
Indicates the classification of something based on how much sugar it contains (e.g., low, medium, or high sugar content).
-
D.
isThickenedWith
Indicates that one substance has been made more viscous or dense by adding another substance that serves as a thickening agent.
-
E.
hasPrimaryCarbohydrate
Indicates that one entity has another entity as its main or principal carbohydrate component.
- 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_69f224b850848190a4af4ccf8ddadcdf |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:46 p.m.