Triple

T22919509
Position Surface form Disambiguated ID Type / Status
Subject RC Ten E568820 entity
Predicate brandOf P1500 FINISHED
Object RC Cola Company 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 Company | Statement: [RC Ten, brandOf, RC Cola Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RC Cola Company
Context triple: [RC Ten, brandOf, RC Cola Company]
  • A. RC Cola
    RC Cola is a long-standing American soft drink brand known as an alternative cola competitor to giants like Coca-Cola and Pepsi.
  • B. RC Global Beverages Inc.
    RC Global Beverages Inc. is the parent beverage company that owns and manages the RC Cola soft drink brand worldwide.
  • C. Royal Crown Cola Company chosen
    Royal Crown Cola Company is an American soft drink producer best known for creating and marketing the RC Cola brand as a major competitor to Coca-Cola and Pepsi.
  • D. P-Cola
    P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
  • E. Coca-Cola Japan
    Coca-Cola Japan is the Japanese subsidiary of The Coca-Cola Company, responsible for producing, marketing, and distributing Coca-Cola beverages and related drink brands within Japan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 17, 2026, 3:42 p.m.