Triple

T5607320
Position Surface form Disambiguated ID Type / Status
Subject Nestlé Waters E147264 entity
Predicate hasParentOrganization P10 FINISHED
Object Nestlé Group E27582 NE FINISHED

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: Nestlé Group | Statement: [Nestlé Waters, hasParentOrganization, Nestlé Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nestlé Group
Context triple: [Nestlé Waters, hasParentOrganization, Nestlé Group]
  • A. Nestlé chosen
    Nestlé is a Swiss multinational food and beverage conglomerate and one of the world’s largest consumer goods companies.
  • B. Danone
    Danone is a multinational French food-products corporation best known for its dairy, plant-based, and bottled water brands.
  • C. Kraft Group
    Kraft Group is a privately held American conglomerate best known for its ownership of major New England sports franchises and extensive interests in paper, packaging, real estate, and private equity.
  • D. Unilever
    Unilever is a multinational consumer goods company known for its wide range of food, personal care, and household products sold globally.
  • E. Kraft Foods
    Kraft Foods is a major American food and beverage company known for producing a wide range of packaged grocery products and iconic brands such as Kraft cheese and Oscar Mayer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fd1b2c81908da154f7e11b90d8 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3158cfc8190b2f1a0eb40e8a440 completed March 23, 2026, 6:52 a.m.
Created at: March 22, 2026, 3:39 p.m.