Triple
T22919567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Crown Company, Inc. |
E568821
|
entity |
| Predicate | hasColaBrand |
P40804
|
FINISHED |
| Object | RC Cola |
—
|
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: RC Cola | Statement: [Royal Crown Company, Inc., hasColaBrand, RC Cola]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColaBrand Context triple: [Royal Crown Company, Inc., hasColaBrand, RC Cola]
-
A.
isSoftDrinkVariantOf
Indicates that one soft drink is a specific version, flavor, or formulation derived from or based on another soft drink.
-
B.
isSoftDrink
Indicates that something is classified as a soft drink, typically a non-alcoholic, carbonated or sweetened beverage.
-
C.
hasCarbonatedWater
Indicates that an entity contains or is associated with carbonated (fizzy) water as a component or ingredient.
-
D.
hasCoBrand
Indicates that two brands are jointly associated or partnered in offering a product, service, or marketing initiative.
-
E.
hasBrandName
chosen
Indicates that an entity is associated with or identified by a specific brand name.
- 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.