Triple

T18309721
Position Surface form Disambiguated ID Type / Status
Subject Santa Rosa, Laguna E438588 entity
Predicate hostsPlantOf P131282 FINISHED
Object Coca-Cola Beverages Philippines NE NERFINISHED

How this triple was built (3 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 Beverages Philippines | Statement: [Santa Rosa, Laguna, hostsPlantOf, Coca-Cola Beverages Philippines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coca-Cola Beverages Philippines
Context triple: [Santa Rosa, Laguna, hostsPlantOf, Coca-Cola Beverages Philippines]
  • A. San Miguel Corporation
    San Miguel Corporation is one of the Philippines’ largest and oldest conglomerates, with major interests in food and beverage, packaging, energy, infrastructure, and other industries.
  • B. 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.
  • C. Coca-Cola FEMSA
    Coca-Cola FEMSA is the largest franchise bottler of Coca-Cola products in the world, operating extensive beverage production and distribution networks across Latin America and parts of Asia.
  • D. Swire Coca-Cola
    Swire Coca-Cola is a major soft drink bottling and distribution company that serves as one of The Coca-Cola Company’s key franchise partners in Greater China and parts of the United States.
  • E. Coca-Cola (Korea bottling)
    Coca-Cola (Korea bottling) is the Korean bottling and distribution operation responsible for producing and supplying Coca-Cola beverages within South Korea.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Coca-Cola Beverages Philippines
Target entity description: Coca-Cola Beverages Philippines is the Philippine bottling and distribution arm of The Coca-Cola Company, responsible for producing and supplying Coca-Cola products across the country.
  • A. San Miguel Corporation
    San Miguel Corporation is one of the Philippines’ largest and oldest conglomerates, with major interests in food and beverage, packaging, energy, infrastructure, and other industries.
  • B. 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.
  • C. Coca-Cola FEMSA
    Coca-Cola FEMSA is the largest franchise bottler of Coca-Cola products in the world, operating extensive beverage production and distribution networks across Latin America and parts of Asia.
  • D. Swire Coca-Cola
    Swire Coca-Cola is a major soft drink bottling and distribution company that serves as one of The Coca-Cola Company’s key franchise partners in Greater China and parts of the United States.
  • E. Coca-Cola (Korea bottling)
    Coca-Cola (Korea bottling) is the Korean bottling and distribution operation responsible for producing and supplying Coca-Cola beverages within South Korea.
  • F. None of above. chosen

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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021709f88190a8047dd57edc2029 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:36 a.m.