Triple

T439844
Position Surface form Disambiguated ID Type / Status
Subject Espionage Act of 1917 E10089 entity
Predicate sectionFocus P3120 FINISHED
Object Section 3 on interference with the draft 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: Section 3 on interference with the draft | Statement: [Espionage Act of 1917, sectionFocus, Section 3 on interference with the draft]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sectionFocus
Context triple: [Espionage Act of 1917, sectionFocus, Section 3 on interference with the draft]
  • A. section chosen
    Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
  • B. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • C. section7Provides
    Indicates that Section 7 serves as the source or provider of something (such as rights, obligations, benefits, or content) to another party or element.
  • D. titleIIFocus
    Indicates that the primary focus or subject of a Title II–related provision, requirement, or classification is the referenced entity.
  • E. notableSection
    Indicates that a particular part or segment of something is especially important, prominent, or worthy of attention within the whole.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef2977888190a0590b2c1bd2f5da completed Feb. 28, 2026, 1:35 p.m.
PD Predicate disambiguation batch_69a2eddcf50c8190bfa0d1f8ee9f604a completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.