Triple
T17564144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kendal Mint Cake |
E427763
|
entity |
| Predicate | nutritionalCharacteristic |
P3602
|
FINISHED |
| Object | high sugar content |
—
|
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: high sugar content | Statement: [Kendal Mint Cake, nutritionalCharacteristic, high sugar content]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nutritionalCharacteristic Context triple: [Kendal Mint Cake, nutritionalCharacteristic, high sugar content]
-
A.
nutritionType
chosen
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
-
B.
nutritionComponent
Indicates that one entity is a nutritional constituent, ingredient, or component of another (typically a food, diet, or nutritional product).
-
C.
hasNutrientContent
Indicates that one entity contains or provides a specified amount or type of nutrient relative to another entity or standard.
-
D.
nutritionalRequirement
Indicates that one entity has a need for certain nutrients or dietary conditions that must be met by another entity or resource.
-
E.
nutritionStandard
Indicates that something complies with, or is evaluated against, a defined set of nutritional guidelines or requirements.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592bde448190bf5ed2340440e2b7 |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.