Triple

T48657
Position Surface form Disambiguated ID Type / Status
Subject Emergency Relief Appropriation Act of 1935 E955 entity
Predicate typeOfSpending P87 FINISHED
Object emergency relief appropriations 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: emergency relief appropriations | Statement: [Emergency Relief Appropriation Act of 1935, typeOfSpending, emergency relief appropriations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfSpending
Context triple: [Emergency Relief Appropriation Act of 1935, typeOfSpending, emergency relief appropriations]
  • A. budgetType
    Indicates the classification or category of a budget associated with an entity or financial activity.
  • B. category chosen
    Indicates that one entity is classified as a member or type within the grouping or class defined by another entity.
  • C. budgetFunction
    Indicates a relationship where a specific budgeting rule or formula determines how resources or funds are allocated or constrained for an entity or activity.
  • D. budget
    Indicates that an entity allocates, plans, or assigns specific financial resources for another entity, activity, or time period.
  • E. economicAspect
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24c1a5c14819088748317a3f262c8 completed Feb. 28, 2026, 1:59 a.m.
PD Predicate disambiguation batch_69a24abe7cb481908d969e54032f6c75 completed Feb. 28, 2026, 1:54 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.