Triple
T21401183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peptamen |
E527915
|
entity |
| Predicate | hasMacronutrientType |
P3602
|
FINISHED |
| Object | peptide-based protein |
—
|
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: peptide-based protein | Statement: [Peptamen, hasMacronutrientType, peptide-based protein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMacronutrientType Context triple: [Peptamen, hasMacronutrientType, peptide-based protein]
-
A.
hasNutrientStatus
Indicates that an entity possesses a particular nutritional condition or level, such as being deficient, sufficient, or excessive in specific nutrients.
-
B.
hasPrimaryCarbohydrate
Indicates that one entity has another entity as its main or principal carbohydrate component.
-
C.
hasNutrientContent
Indicates that one entity contains or provides a specified amount or type of nutrient relative to another entity or standard.
-
D.
hasKeyNutrientRole
Indicates that something plays an essential or primary role as a nutrient in supporting a biological function or process.
-
E.
nutritionType
chosen
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b16f7c5081909475eb5bb6177955 |
completed | April 22, 2026, 11:30 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:15 p.m.