Triple
T22919467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diet RC |
E568818
|
entity |
| Predicate | hasSweetenerType |
P65313
|
FINISHED |
| Object | artificial sweetener |
—
|
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: artificial sweetener | Statement: [Diet RC, hasSweetenerType, artificial sweetener]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSweetenerType Context triple: [Diet RC, hasSweetenerType, artificial sweetener]
-
A.
sweetenerType
chosen
Indicates the specific kind or category of sweetener associated with or used in relation to an entity.
-
B.
containsSweeteners
Indicates that something includes one or more sweetening substances as part of its composition or contents.
-
C.
hasSugarSource
Indicates that one entity serves as the source or provider of sugar for another entity.
-
D.
sweetenerVariant
Indicates that one sweetening agent is a specific type, version, or alternative form of another sweetening agent.
-
E.
isSweeterThan
Indicates that one entity has a higher level of sweetness in taste compared to 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_69f180d316188190901d9356c07110e3 |
completed | April 29, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:42 p.m.