Triple

T21812772
Position Surface form Disambiguated ID Type / Status
Subject International Bovine Meat Agreement E538517 entity
Predicate hasCommodityScope P16090 FINISHED
Object bovine animals 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: bovine animals | Statement: [International Bovine Meat Agreement, hasCommodityScope, bovine animals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommodityScope
Context triple: [International Bovine Meat Agreement, hasCommodityScope, bovine animals]
  • A. hasMarketCommodity
    Indicates that an entity is associated with or trades in a particular commodity within a market context.
  • B. scopeOfSales
    Indicates the range, extent, or boundaries within which sales activities, rights, or transactions are valid or permitted.
  • C. scopeOfProducts chosen
    Indicates the range or extent of products that fall under a particular category, responsibility, or context.
  • D. hasRegulationScope
    Indicates that a regulation applies to, or governs, a specified scope, domain, or area of relevance.
  • E. acquisitionScope
    Indicates the extent, boundaries, or coverage of what is obtained or brought under control through an acquisition.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc7ec1c8190a5420b44a49ae32f completed April 28, 2026, 9:24 a.m.
PD Predicate disambiguation batch_69e6be815a108190be81d7c987d0c0d6 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 6:53 p.m.