Triple
T22662773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Actimel |
E559705
|
entity |
| Predicate | hasNutrientClaim |
P78374
|
FINISHED |
| Object | contains vitamins B6 and D (in many markets) |
—
|
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: contains vitamins B6 and D (in many markets) | Statement: [Actimel, hasNutrientClaim, contains vitamins B6 and D (in many markets)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNutrientClaim Context triple: [Actimel, hasNutrientClaim, contains vitamins B6 and D (in many markets)]
-
A.
hasNutrientContent
Indicates that one entity contains or provides a specified amount or type of nutrient relative to another entity or standard.
-
B.
hasNutrientStatus
Indicates that an entity possesses a particular nutritional condition or level, such as being deficient, sufficient, or excessive in specific nutrients.
-
C.
hasMarketingClaim
chosen
Indicates that an entity asserts or is associated with a specific marketing claim about a product, service, or brand.
-
D.
hasCalories
Indicates that an entity contains a specified amount of caloric energy.
-
E.
nutritionComponent
Indicates that one entity is a nutritional constituent, ingredient, or component of another (typically a food, diet, or nutritional product).
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17660c0c88190bed9fa8f6517eec4 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:08 p.m.