Triple

T11022786
Position Surface form Disambiguated ID Type / Status
Subject Third Judicial District (Illinois) E260531 entity
Predicate governsTypeOfCases P16126 FINISHED
Object appeals in civil cases 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 in civil cases | Statement: [Third Judicial District (Illinois), governsTypeOfCases, appeals in civil cases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governsTypeOfCases
Context triple: [Third Judicial District (Illinois), governsTypeOfCases, appeals in civil cases]
  • A. typeOfCasesHandled
    Indicates the categories or kinds of cases that an entity (such as a person, organization, or system) is responsible for managing or processing.
  • B. hearsCasesUnder chosen
    Indicates that a judicial body or authority has the responsibility and power to adjudicate legal cases falling within a specified jurisdiction, category, or scope.
  • C. caseTypes
    Indicates the types or categories of cases associated with or applicable to an entity or situation.
  • D. governs
    Indicates that one entity exercises authoritative control, direction, or rule over another entity or domain.
  • E. governingClassification
    Indicates the classification system or category framework that determines how an entity is organized, labeled, or regulated.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797bd88188190a644adc9283cabb8 completed April 9, 2026, 12:12 p.m.
PD Predicate disambiguation batch_69d72e995e008190bbffb314129ed0cd completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:25 p.m.