Triple
T34488982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dubrow Diet |
E885413
|
entity |
| Predicate | recommendsEatingPattern |
P95772
|
FINISHED |
| Object | low-carb |
—
|
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-carb | Statement: [The Dubrow Diet, recommendsEatingPattern, low-carb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recommendsEatingPattern Context triple: [The Dubrow Diet, recommendsEatingPattern, low-carb]
-
A.
eatingHabit
Indicates a characteristic pattern or regularity in how an entity consumes food, such as what, when, or how it typically eats.
-
B.
dietAdvocated
chosen
Indicates that one entity promotes, recommends, or supports a particular diet for another entity or audience.
-
C.
nutritionType
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
-
D.
typicalMealStructure
Indicates the usual sequence and composition of courses or components that make up a standard meal.
-
E.
dietVersion
Indicates that one diet is a specific version, variant, or iteration of another diet.
- 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_69f349cafcec8190997b45b3fdc16c27 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:01 a.m.