Triple
T1802424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oryza sativa |
E39749
|
entity |
| Predicate | carbohydrateContent |
P3602
|
FINISHED |
| Object | high starch content |
—
|
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: high starch content | Statement: [Oryza sativa, carbohydrateContent, high starch content]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: carbohydrateContent Context triple: [Oryza sativa, carbohydrateContent, high starch content]
-
A.
hasSugarContent
Indicates that one entity possesses or contains a specified amount or level of sugar.
-
B.
nutritionType
chosen
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
-
C.
typicalCelluloseContent
Indicates the usual or characteristic amount of cellulose present in or associated with an entity.
-
D.
hasMainIngredient
Indicates that one entity is the primary or most significant ingredient used to make another entity.
-
E.
fastingIncludes
Indicates that a period of fasting encompasses or contains a specified component, practice, or time interval as part of that fast.
- 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_69a88632aa588190ba3978fde0db5bbd |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d514c081908197ac1f7c7d7a88 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.