Triple

T1620586
Position Surface form Disambiguated ID Type / Status
Subject Agricultural Marketing Service E35020 entity
Predicate operatesInTheFieldOf P7505 FINISHED
Object agricultural policy 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: agricultural policy | Statement: [Agricultural Marketing Service, operatesInTheFieldOf, agricultural policy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: operatesInTheFieldOf
Context triple: [Agricultural Marketing Service, operatesInTheFieldOf, agricultural policy]
  • A. fieldOfWork
    Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
  • B. fieldOfOperation chosen
    Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
  • C. developedInField
    Indicates that an entity (such as a method, theory, or technology) was created, formulated, or advanced within a particular academic or professional field.
  • D. operatesWithin
    Indicates that one entity carries out its activities, functions, or operations inside the scope, boundaries, or jurisdiction defined by another entity.
  • E. alsoOperatesIn
    Indicates that an entity, in addition to its primary location or domain, conducts operations or activities in another specified place or context.
  • 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_69a886023194819080a3fccd6e325d0e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aaf4a0ef748190ae52b9656474c0ef completed March 6, 2026, 3:37 p.m.
PD Predicate disambiguation batch_69a907c731808190a1d998155041b3c1 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.