Triple
T16542945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Down to Earth Organic & Natural |
E401865
|
entity |
| Predicate | dietaryEmphasis |
P3602
|
FINISHED |
| Object | vegetarian |
—
|
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: vegetarian | Statement: [Down to Earth Organic & Natural, dietaryEmphasis, vegetarian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dietaryEmphasis Context triple: [Down to Earth Organic & Natural, dietaryEmphasis, vegetarian]
-
A.
focusesOnNutrition
Indicates that the subject’s primary attention, activity, or content is centered on nutrition-related topics, practices, or goals.
-
B.
nutritionType
chosen
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
-
C.
dietAdvocated
Indicates that one entity promotes, recommends, or supports a particular diet for another entity or audience.
-
D.
diet
Indicates that an entity regularly consumes a particular type or range of food as its primary source of nutrition.
-
E.
nutritionStandard
Indicates that something complies with, or is evaluated against, a defined set of nutritional guidelines or requirements.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455fab34819086c77ff45b85f5db |
completed | April 18, 2026, 8:48 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:15 a.m.