Triple

T11269942
Position Surface form Disambiguated ID Type / Status
Subject Monetary Policy, Inflation, and the Business Cycle E266784 entity
Predicate usesModelType P37433 FINISHED
Object dynamic stochastic general equilibrium models 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: dynamic stochastic general equilibrium models | Statement: [Monetary Policy, Inflation, and the Business Cycle, usesModelType, dynamic stochastic general equilibrium models]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesModelType
Context triple: [Monetary Policy, Inflation, and the Business Cycle, usesModelType, dynamic stochastic general equilibrium models]
  • A. useOfModel chosen
    Indicates that one entity employs, applies, or relies on a particular model for a specific purpose or task.
  • B. usedByModel
    Indicates that something (such as a resource, method, or component) is utilized or consumed by a particular model.
  • C. usedToModel
    Indicates that one entity serves as a model or representation for another entity, typically for purposes of analysis, simulation, or understanding.
  • D. usesProductionModel
    Indicates that one entity employs or relies on another entity as its primary or official production model in practice.
  • E. supportsModelType
    Indicates that an entity is compatible with, or can operate using, a specified model type.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9506204819089dc0827483bd948 completed April 9, 2026, 6 p.m.
PD Predicate disambiguation batch_69d7879bc56c8190b2e8d2193f29de05 completed April 9, 2026, 11:03 a.m.
Created at: April 8, 2026, 9:31 p.m.