Triple

T704121
Position Surface form Disambiguated ID Type / Status
Subject The Coca-Cola Company E14062 entity
Predicate brand P1500 FINISHED
Object Coca-Cola
Coca-Cola is a globally recognized carbonated soft drink, known for its distinctive cola flavor and iconic red-and-white branding.
E90215 NE FINISHED

How this triple was built (4 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: Coca-Cola | Statement: [The Coca-Cola Company, brand, Coca-Cola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coca-Cola
Context triple: [The Coca-Cola Company, brand, Coca-Cola]
  • A. The Coca-Cola Company
    The Coca-Cola Company is a multinational beverage corporation best known as the producer of the iconic soft drink Coca-Cola and a wide portfolio of nonalcoholic beverages sold worldwide.
  • B. Pepsi
    Pepsi is a globally recognized carbonated soft drink brand produced by PepsiCo and known as one of the main competitors to Coca-Cola.
  • C. P-Cola
    P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
  • D. Nestlé
    Nestlé is a Swiss multinational food and beverage conglomerate and one of the world’s largest consumer goods companies.
  • E. Coca-Cola Zero Sugar
    Coca-Cola Zero Sugar is a no-calorie soft drink introduced by The Coca-Cola Company as a sugar-free alternative that closely mimics the taste of original Coca-Cola.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Coca-Cola
Triple: [The Coca-Cola Company, brand, Coca-Cola]
Generated description
Coca-Cola is a globally recognized carbonated soft drink, known for its distinctive cola flavor and iconic red-and-white branding.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Coca-Cola
Target entity description: Coca-Cola is a globally recognized carbonated soft drink, known for its distinctive cola flavor and iconic red-and-white branding.
  • A. The Coca-Cola Company
    The Coca-Cola Company is a multinational beverage corporation best known as the producer of the iconic soft drink Coca-Cola and a wide portfolio of nonalcoholic beverages sold worldwide.
  • B. Pepsi
    Pepsi is a globally recognized carbonated soft drink brand produced by PepsiCo and known as one of the main competitors to Coca-Cola.
  • C. P-Cola
    P-Cola is a common shorthand nickname for the city of Pensacola in the Florida Panhandle.
  • D. Nestlé
    Nestlé is a Swiss multinational food and beverage conglomerate and one of the world’s largest consumer goods companies.
  • E. Coca-Cola Zero Sugar
    Coca-Cola Zero Sugar is a no-calorie soft drink introduced by The Coca-Cola Company as a sugar-free alternative that closely mimics the taste of original Coca-Cola.
  • F. None of above. chosen

Provenance (5 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a533fa788190bba0f55655469c46 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e39a2d4819086ef9b5fba62a725 completed March 3, 2026, 4:06 a.m.
NEDg Description generation batch_69a65ee094ec8190a9eccffa14bc7b9c completed March 3, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69a65f8b848c81908bd622b084813443 completed March 3, 2026, 4:11 a.m.
Created at: March 1, 2026, 7:36 p.m.