Triple

T1966462
Position Surface form Disambiguated ID Type / Status
Subject Evarts Act E42697 entity
Predicate impactOnCaseFlow P33298 FINISHED
Object shifted most routine appeals to intermediate courts 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: shifted most routine appeals to intermediate courts | Statement: [Evarts Act, impactOnCaseFlow, shifted most routine appeals to intermediate courts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: impactOnCaseFlow
Context triple: [Evarts Act, impactOnCaseFlow, shifted most routine appeals to intermediate courts]
  • A. impactOnPerformance
    Indicates that one entity has an effect, influence, or consequence on the performance level or effectiveness of another entity.
  • B. affectedCourt
    Indicates that a particular court is impacted or influenced by a specified action, decision, or legal matter.
  • C. courtInfluence
    Indicates that one party exerts or holds influence over decisions, outcomes, or behavior within a court or judicial setting.
  • D. usesCaseManagementSystem
    Indicates that an entity makes use of a case management system to organize, track, or handle cases or workflows.
  • E. influencedCourtDecision
    Indicates that one entity had an effect on or contributed to the outcome of a court’s decision regarding another entity or matter.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3cd47388190998b5f6800141c92 completed March 7, 2026, 5:12 a.m.
PD Predicate disambiguation batch_69abaff7d4a48190ab0d51aefb1c4e31 completed March 7, 2026, 4:56 a.m.
PDg Predicate description generation batch_69abb16a6db48190af04012e8ed2269f completed March 7, 2026, 5:02 a.m.
Created at: March 4, 2026, 7:36 p.m.