Triple

T9847835
Position Surface form Disambiguated ID Type / Status
Subject Cargill Protein E239386 entity
Predicate hasBusinessScope P68868 FINISHED
Object North American meat and poultry operations LITERAL 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: North American meat and poultry operations | Statement: [Cargill Protein, hasBusinessScope, North American meat and poultry operations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBusinessScope
Context triple: [Cargill Protein, hasBusinessScope, North American meat and poultry operations]
  • A. hasBusiness
    Indicates that one entity owns, operates, or is formally associated with a business entity.
  • B. hasBusinessTypeAlong
    Indicates that a business or commercial entity located along a route, corridor, or area is associated with a specific type or category of business activity.
  • C. hasBusinessNode
    Indicates that an entity is associated with, linked to, or represented by a specific business-related node within a business structure or network.
  • D. hasTypeOfBusinesses chosen
    Indicates that an entity is associated with or contains specific categories or kinds of businesses.
  • E. hasKeyBusiness
    Indicates that one entity possesses or is associated with a primary or strategically important business of another entity.
  • F. None of above.

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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb362d81081908f41cc25baca5fda completed April 2, 2026, 12:08 a.m.
PD Predicate disambiguation batch_69cd03e57cac8190914bb5ae608a6e0e completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:34 p.m.