Triple
T22461123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nutricia |
E555230
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Danone Specialized Nutrition |
—
|
NE NERFINISHED |
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: Danone Specialized Nutrition | Statement: [Nutricia, partOf, Danone Specialized Nutrition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danone Specialized Nutrition Context triple: [Nutricia, partOf, Danone Specialized Nutrition]
-
A.
Danone
chosen
Danone is a multinational French food-products corporation best known for its dairy, plant-based, and bottled water brands.
-
B.
Nestlé Health Science
Nestlé Health Science is a global business unit of Nestlé focused on developing science-based nutritional products and therapies for health management and medical nutrition.
-
C.
Abbott Nutrition
Abbott Nutrition is a global healthcare company division specializing in science-based nutritional products for infants, children, and adults.
-
D.
Nutricia
Nutricia is a Danone-owned brand specializing in medical and early life nutrition products.
-
E.
Nutren
Nutren is a Nestlé Health Science nutritional supplement brand offering specialized formulas for medical and dietary needs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b7f74948190beaf6ea24ba29276 |
completed | April 29, 2026, 1:14 a.m. |
Created at: April 16, 2026, 8:48 p.m.