Triple

T1717159
Position Surface form Disambiguated ID Type / Status
Subject Reagan administration E37314 entity
Predicate drugPolicy P31886 FINISHED
Object support for mandatory minimum sentencing for drug offenses 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: support for mandatory minimum sentencing for drug offenses | Statement: [Reagan administration, drugPolicy, support for mandatory minimum sentencing for drug offenses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: drugPolicy
Context triple: [Reagan administration, drugPolicy, support for mandatory minimum sentencing for drug offenses]
  • A. legalAbolition
    Indicates that a law, practice, or legal status has been formally ended or revoked through an official legal process.
  • B. legalizedInstitution
    Indicates that an authority has formally granted legal status or approval for an institution to exist or operate.
  • C. isCriminalizedIn
    Indicates that a specific behavior, action, or condition is prohibited and subject to legal penalties within a particular jurisdiction or legal system.
  • D. addiction
    Indicates a compulsive dependence of one entity on a substance, activity, or behavior, typically despite negative consequences and difficulty stopping.
  • E. smokeUse
    Indicates that an entity uses or consumes tobacco or other substances by smoking.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69ab5c96db6c8190a745d6fef7bf2cdb completed March 6, 2026, 11 p.m.
PD Predicate disambiguation batch_69aa61bed2fc819086d912cd34285978 completed March 6, 2026, 5:10 a.m.
PDg Predicate description generation batch_69ab5c7780bc81909fc6e173a216cb0b completed March 6, 2026, 11 p.m.
Created at: March 4, 2026, 7:30 p.m.