Triple

T10624916
Position Surface form Disambiguated ID Type / Status
Subject Gramm–Rudman–Hollings Balanced Budget and Emergency Deficit Control Act of 1985 E250297 entity
Predicate enforcementStyle P79850 FINISHED
Object automatic across-the-board cuts rather than targeted cuts 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: automatic across-the-board cuts rather than targeted cuts | Statement: [Gramm–Rudman–Hollings Balanced Budget and Emergency Deficit Control Act of 1985, enforcementStyle, automatic across-the-board cuts rather than targeted cuts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: enforcementStyle
Context triple: [Gramm–Rudman–Hollings Balanced Budget and Emergency Deficit Control Act of 1985, enforcementStyle, automatic across-the-board cuts rather than targeted cuts]
  • A. enforcementStrength
    Indicates the degree or intensity with which rules, laws, or policies are applied and enforced in a given context.
  • B. enforcement
    Indicates the act of compelling compliance with rules, laws, or agreements through monitoring, pressure, or sanctions.
  • C. enforcementModel chosen
    Indicates the method or framework by which rules, policies, or constraints are applied, monitored, and enforced within a system or interaction.
  • D. styleOfRule
    Indicates the stylistic or formatting convention that a particular rule follows or is expressed in.
  • E. enforcedLaw
    Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df7fe9fc81908b3b8d1dc06a829c completed April 8, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69d6dd7fae088190973f70c69738af49 completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 8:53 p.m.