Triple

T345343
Position Surface form Disambiguated ID Type / Status
Subject New York Court of Appeals E6927 entity
Predicate hearsCases P808 FINISHED
Object appeals from the Appellate Division of the New York Supreme Court 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: appeals from the Appellate Division of the New York Supreme Court | Statement: [New York Court of Appeals, hearsCases, appeals from the Appellate Division of the New York Supreme Court]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hearsCases
Context triple: [New York Court of Appeals, hearsCases, appeals from the Appellate Division of the New York Supreme Court]
  • A. cannotHearCasesFrom
    Indicates that one entity lacks the authority or ability to hear, consider, or adjudicate cases originating from another entity.
  • B. hasJurisdictionOver chosen
    Indicates that one authority or governing body holds legal power or control to make and enforce decisions over another entity, area, or matter.
  • C. hears
    Indicates that one entity perceives or detects sounds produced by another entity or source.
  • D. legalCase
    Indicates a relationship where a formal legal dispute or proceeding exists between parties, typically adjudicated by a court or similar authority.
  • E. hasCase
    Indicates that one entity is involved in, associated with, or characterized by a particular case, instance, or occurrence represented by 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb01261c81909280128b5ce75eff completed Feb. 28, 2026, 1:17 p.m.
PD Predicate disambiguation batch_69a2e95451a4819090f4e4fb9b21a493 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.