Triple

T84962
Position Surface form Disambiguated ID Type / Status
Subject Hundred Days (FDR) E1709 entity
Predicate legislativeOutput P4298 FINISHED
Object large volume of federal legislation 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: large volume of federal legislation | Statement: [Hundred Days (FDR), legislativeOutput, large volume of federal legislation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legislativeOutput
Context triple: [Hundred Days (FDR), legislativeOutput, large volume of federal legislation]
  • A. legislature
    Indicates that an entity serves as, or is part of, a law-making body or assembly responsible for creating or amending laws for a political unit.
  • B. relatedLegislation
    Indicates that there exists a legislative document that is connected to, affects, or is otherwise relevant to the subject entity.
  • C. legislativeSession
    Indicates that an entity is a formal meeting period of a legislative body during which it conducts its official business, such as debating and passing laws.
  • D. typeOfLegislation
    Indicates the specific category or kind of legislation that a given legal act or measure belongs to.
  • E. hasLegislativeProcess
    Indicates that there exists a specific legislative procedure or set of steps governing how laws or regulations are proposed, debated, and enacted for the related entity.
  • F. None of above. chosen

Provenance (4 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.
PDg Predicate description generation batch_69a250e2a80881909e5a653260e6f8e0 completed Feb. 28, 2026, 2:20 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.