Triple

T9575940
Position Surface form Disambiguated ID Type / Status
Subject The Land E231045 entity
Predicate formerSponsor P18226 FINISHED
Object Nestlé 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 | Statement: [The Land, formerSponsor, Nestlé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nestlé
Context triple: [The Land, formerSponsor, Nestlé]
  • 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. Mondelez International
    Mondelez International is a global snack and confectionery company known for brands like Oreo, Cadbury, and Toblerone.
  • D. 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.
  • E. 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.
  • 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_69ca848091c48190bc313d6620d09555 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99ac17a48190bb8448394f22b1e9 completed April 1, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16155b3288190ac135c3a1e58cc7e completed April 4, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:05 p.m.