Triple

T84985
Position Surface form Disambiguated ID Type / Status
Subject Hundred Days (FDR) E1709 entity
Predicate economicContext P2313 FINISHED
Object banking crisis in the United States 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: banking crisis in the United States | Statement: [Hundred Days (FDR), economicContext, banking crisis in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: economicContext
Context triple: [Hundred Days (FDR), economicContext, banking crisis in the United States]
  • A. economicAspect chosen
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • B. economicSystem
    Indicates the type or structure of the economic organization or system under which an entity operates or to which it belongs.
  • C. economicStatus
    Indicates the financial or socioeconomic condition or standing of an entity relative to others or to defined economic criteria.
  • D. economicClassification
    Indicates how an entity is categorized based on its economic characteristics, status, or role within an economic system.
  • E. hasEconomicRole
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a250e401288190ba12322c9c5f07c9 completed Feb. 28, 2026, 2:20 a.m.
PD Predicate disambiguation batch_69a24eb59e808190811c20518f39b1cc completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.