Triple
T4193322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr Pepper |
E89085
|
entity |
| Predicate | hasFlavorDescription |
P2068
|
FINISHED |
| Object | unique blend of 23 flavors |
—
|
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: unique blend of 23 flavors | Statement: [Dr Pepper, hasFlavorDescription, unique blend of 23 flavors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlavorDescription Context triple: [Dr Pepper, hasFlavorDescription, unique blend of 23 flavors]
-
A.
hasVarietyOfFlavors
Indicates that one entity offers or contains multiple distinct flavors or taste options.
-
B.
typicalFlavor
chosen
Indicates that something characteristically has or is associated with a particular flavor.
-
C.
hasDescription
Indicates that an entity is associated with a textual description that explains or characterizes it.
-
D.
hasQuarkFlavors
Indicates that an entity (such as a particle) possesses specific types (flavors) of quarks as its constituents.
-
E.
hasSpice
Indicates that one entity contains, includes, or is characterized by a particular spice or set of spices.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af04b009dc8190abda3f149a5b16fa |
completed | March 9, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69af01935064819096b7619f42e164dd |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:46 p.m.