Triple
T33841066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ensure Plus |
E867358
|
entity |
| Predicate | typicalProteinPerServing |
P206696
|
FINISHED |
| Object | about 13 grams per 8 fl oz (varies by market and formulation) |
—
|
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: about 13 grams per 8 fl oz (varies by market and formulation) | Statement: [Ensure Plus, typicalProteinPerServing, about 13 grams per 8 fl oz (varies by market and formulation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalProteinPerServing Context triple: [Ensure Plus, typicalProteinPerServing, about 13 grams per 8 fl oz (varies by market and formulation)]
-
A.
servingSizeStandard
Indicates that there is a standard or officially defined serving size associated with an item.
-
B.
commonServingSize
Indicates that two or more food items share the same standard or typical serving size used for comparison or labeling.
-
C.
hasProtein
Indicates that one entity contains, includes, or is associated with a specific protein.
-
D.
typicalCarbohydrateContent
Indicates the usual or characteristic amount of carbohydrates contained in something.
-
E.
typicalFatContent
Indicates the usual or characteristic amount of fat contained in something, such as a food or 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037e07fe4481909ca21eae7a941ee7 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:47 a.m.