Triple

T19555601
Position Surface form Disambiguated ID Type / Status
Subject Tyson Events Center E489300 entity
Predicate namedAfter P63 FINISHED
Object Tyson Foods 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: Tyson Foods | Statement: [Tyson Events Center, namedAfter, Tyson Foods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyson Foods
Context triple: [Tyson Events Center, namedAfter, Tyson Foods]
  • A. Tyson Foods chosen
    Tyson Foods is a major American multinational food company best known as one of the world’s largest processors and marketers of chicken, beef, and pork products.
  • B. Smithfield Foods
    Smithfield Foods is a major American pork processing and food manufacturing company known as one of the world’s largest producers of pork products.
  • C. Cargill
    Cargill is a large American privately held global food and agribusiness company involved in commodities trading, food production, and agricultural services.
  • D. Pilgrim’s Pride
    Pilgrim’s Pride is a major American poultry company known for producing and processing chicken products for retail, foodservice, and export markets.
  • E. ConAgra Foods
    ConAgra Foods is a major American packaged foods company known for producing and marketing a wide range of branded grocery and frozen food products.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d335f888190abfc5ba974d3c65e completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:42 p.m.