Triple

T21541
Position Surface form Disambiguated ID Type / Status
Subject Federal Reserve Board of Governors E427 entity
Predicate policyGoal P79 FINISHED
Object maximum employment 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: maximum employment | Statement: [Federal Reserve Board of Governors, policyGoal, maximum employment]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: policyGoal
Context triple: [Federal Reserve Board of Governors, policyGoal, maximum employment]
  • A. purpose chosen
    Indicates that one entity exists, is done, or is used in order to achieve, support, or serve the goal, function, or intended outcome of another entity.
  • B. objectiveOfUnitedStates
    Indicates that something is an official objective or goal pursued by the United States.
  • C. governingPolicy
    Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
  • D. mission
    Indicates that an entity is assigned or engaged in a specific task, operation, or purpose-directed undertaking.
  • E. governance
    Indicates the relationship in which one entity exercises authority, control, or decision-making power over the policies, actions, or direction of another entity or system.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a246e94ca881908f7a7d2c0b293033 completed Feb. 28, 2026, 1:37 a.m.
PD Predicate disambiguation batch_69a24654724481909ba14b7f68d2a472 completed Feb. 28, 2026, 1:35 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.