Triple

T22460932
Position Surface form Disambiguated ID Type / Status
Subject Oikos E555226 entity
Predicate associatedWithCompany P629 FINISHED
Object Danone North America 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: Danone North America | Statement: [Oikos, associatedWithCompany, Danone North America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danone North America
Context triple: [Oikos, associatedWithCompany, Danone North America]
  • A. Danone chosen
    Danone is a multinational French food-products corporation best known for its dairy, plant-based, and bottled water brands.
  • B. National Dairy Products Corporation
    National Dairy Products Corporation was a major American dairy and food processing company that later became known as Kraft Foods, one of the world’s largest food and beverage conglomerates.
  • C. Tnuva
    Tnuva is Israel’s largest food manufacturer and leading dairy company, known for its wide range of milk and dairy products.
  • D. FrieslandCampina
    FrieslandCampina is a large Dutch multinational dairy cooperative that produces and markets a wide range of dairy products worldwide.
  • E. Casella Family Brands
    Casella Family Brands is a major Australian wine company best known globally for producing the Yellow Tail brand.
  • 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_69e11e51fdec8190adfdf9f8a6362221 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b7f74948190beaf6ea24ba29276 completed April 29, 2026, 1:14 a.m.
Created at: April 16, 2026, 8:48 p.m.