Triple
T27729377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monster Energy |
E697388
|
entity |
| Predicate | hasLowCalorieVariant |
P99243
|
FINISHED |
| Object | Monster Energy Ultra series |
—
|
NE NERFINISHED |
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: Monster Energy Ultra series | Statement: [Monster Energy, hasLowCalorieVariant, Monster Energy Ultra series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowCalorieVariant Context triple: [Monster Energy, hasLowCalorieVariant, Monster Energy Ultra series]
-
A.
hasCalories
Indicates that an entity contains a specified amount of caloric energy.
-
B.
hasSugarFreeVariant
Indicates that an item has a corresponding version or option that is formulated without sugar.
-
C.
calorieLevel
chosen
Indicates the relationship between an entity and the amount of calories it contains or provides, typically categorized by intensity or range (e.g., low, medium, high).
-
D.
hasVariantIngredient
Indicates that one ingredient is an alternative or substitute form of another ingredient used in a product or formulation.
-
E.
hasLowPowerVariant
Indicates that an entity has a related version or configuration designed to operate with reduced power consumption compared to the standard one.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 27, 2026, 3:10 p.m.