Triple
T22918497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quaker Oats |
E568793
|
entity |
| Predicate | primaryIngredientInCoreProducts |
P5291
|
FINISHED |
| Object | oats |
—
|
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: oats | Statement: [Quaker Oats, primaryIngredientInCoreProducts, oats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryIngredientInCoreProducts Context triple: [Quaker Oats, primaryIngredientInCoreProducts, oats]
-
A.
hasMainIngredient
chosen
Indicates that one entity is the primary or most significant ingredient used to make another entity.
-
B.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
C.
ingredientType
Indicates that one entity is classified as a specific type or category of ingredient in relation to another.
-
D.
primaryFlavor
Indicates the dominant or most characteristic taste associated with an item relative to other possible flavors.
-
E.
primaryFood
Indicates that one entity serves as the main or most important food source for another 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807b254c8190bb84596dcacaa35e |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.