Triple

T699465
Position Surface form Disambiguated ID Type / Status
Subject Printz v. United States E13965 entity
Predicate reinforces P3261 FINISHED
Object New York v. United States (1992) anti-commandeering principle 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: New York v. United States (1992) anti-commandeering principle | Statement: [Printz v. United States, reinforces, New York v. United States (1992) anti-commandeering principle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reinforces
Context triple: [Printz v. United States, reinforces, New York v. United States (1992) anti-commandeering principle]
  • A. strengthens chosen
    Indicates that one entity increases the power, effectiveness, or resilience of another.
  • B. strengthensFrom
    Indicates that one entity becomes stronger, more effective, or more intense as a result of influence, support, or input from another entity.
  • C. encourages
    Indicates actively motivating, supporting, or giving confidence to another entity to pursue an action, behavior, or state.
  • D. ensures
    Indicates that one entity guarantees or makes certain that a particular condition, outcome, or state holds for another entity or situation.
  • E. reduces
    Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0dd4afc81909e4e869356006f33 completed March 1, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69a49d2586b081908e052cc5ba1d2685 completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.