Triple
T3889323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coca-Cola Zero Sugar |
E88019
|
entity |
| Predicate | sweetener |
P40800
|
FINISHED |
| Object | aspartame |
—
|
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: aspartame | Statement: [Coca-Cola Zero Sugar, sweetener, aspartame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sweetener Context triple: [Coca-Cola Zero Sugar, sweetener, aspartame]
-
A.
isSweeterThan
Indicates that one entity has a higher level of sweetness in taste compared to another entity.
-
B.
traditionalSweet
Indicates that something is a sweet food or dessert prepared according to long-established customs or cultural traditions.
-
C.
hasSugarContent
Indicates that one entity possesses or contains a specified amount or level of sugar.
-
D.
SugarOnAStickDescription
Indicates that the description text provided explains or characterizes the Sugar on a Stick item, concept, or resource.
-
E.
ingredientType
chosen
Indicates that one entity is classified as a specific type or category of ingredient in relation to another.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecaee7148190ada451ccfc6582ee |
completed | March 9, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:21 p.m.