Triple

T2493880
Position Surface form Disambiguated ID Type / Status
Subject Ricardian equivalence E52108 entity
Predicate typicalModelEnvironment P853 FINISHED
Object representative agent intertemporal optimization model 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: representative agent intertemporal optimization model | Statement: [Ricardian equivalence, typicalModelEnvironment, representative agent intertemporal optimization model]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalModelEnvironment
Context triple: [Ricardian equivalence, typicalModelEnvironment, representative agent intertemporal optimization model]
  • A. environmentType chosen
    Indicates the kind or category of environment associated with an entity or situation.
  • B. typicalSetup
    Indicates that an entity is arranged, configured, or organized in its standard or commonly used setup relative to another entity or context.
  • C. typicalEngine
    Indicates that an entity is the standard or commonly used engine for another entity (such as a vehicle, device, or system).
  • D. typicalIn
    Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
  • E. typicalPerformanceMode
    Indicates the usual or most common way in which an entity performs an action or operates.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd193fe7881909b08768c44b15049 completed March 7, 2026, 7:19 a.m.
PD Predicate disambiguation batch_69abd0b980b481908d4932bcea4a6167 completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:45 p.m.