Triple
T4068600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diet Coke |
E86588
|
entity |
| Predicate | calorieContent |
P51659
|
FINISHED |
| Object | low-calorie |
—
|
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: low-calorie | Statement: [Diet Coke, calorieContent, low-calorie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: calorieContent Context triple: [Diet Coke, calorieContent, low-calorie]
-
A.
hasCalories
chosen
Indicates that an entity contains a specified amount of caloric energy.
-
B.
nutritionType
Indicates the specific category or kind of nutritional characteristic or value associated with an entity.
-
C.
hasSugarContent
Indicates that one entity possesses or contains a specified amount or level of sugar.
-
D.
proteinContent
Indicates the amount or proportion of protein present in a given entity or substance.
-
E.
typicalFatUsed
Indicates that a particular type of fat is commonly or characteristically used in a given context or application.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbf8f33c8190a6afca1830f35485 |
completed | March 9, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.