Triple
T10086095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phaseolus vulgaris |
E215223
|
entity |
| Predicate | antinutritionalFactor |
P91984
|
FINISHED |
| Object | lectins |
—
|
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: lectins | Statement: [Phaseolus vulgaris, antinutritionalFactor, lectins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antinutritionalFactor Context triple: [Phaseolus vulgaris, antinutritionalFactor, lectins]
-
A.
fattyAcid
Indicates a relationship where one entity is a fatty acid component, derivative, or participant in a process involving another entity.
-
B.
nutritionMode
Indicates the way an entity obtains or processes nutrients for sustenance or growth.
-
C.
nutritionType
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
-
D.
isAbundantInFood
Indicates that a particular nutrient, substance, or component is present in large quantities within a given food.
-
E.
nutritionComponent
Indicates that one entity is a nutritional constituent, ingredient, or component of another (typically a food, diet, or nutritional product).
- F. None of above. chosen
Provenance (4 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd04609748190987a9364a387fa61 |
completed | April 2, 2026, 2:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4b97870481908f7a89df10d58a9e |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 9:01 p.m.