Triple

T29483040
Position Surface form Disambiguated ID Type / Status
Subject Specialized courts of Sudan E747842 entity
Predicate overseesCasesIn P151878 FINISHED
Object urban areas of Sudan 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: urban areas of Sudan | Statement: [Specialized courts of Sudan, overseesCasesIn, urban areas of Sudan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: overseesCasesIn
Context triple: [Specialized courts of Sudan, overseesCasesIn, urban areas of Sudan]
  • A. overseesCasesArisingIn chosen
    Indicates that an authority or entity has responsibility for supervising, managing, or adjudicating cases that originate within a particular area, jurisdiction, or context.
  • B. typeOfCasesHandled
    Indicates the categories or kinds of cases that an entity (such as a person, organization, or system) is responsible for managing or processing.
  • C. hearsCasesOnBehalfOf
    Indicates that one party conducts hearings or adjudicates cases in place of, or as a representative for, another party.
  • D. hearsCasesWith
    Indicates that one judicial body or judge conducts proceedings together with another judicial body or judge in hearing the same cases.
  • E. hearsCasesAs
    Indicates that one judicial body or judge reviews and adjudicates cases originating from another court or jurisdiction.
  • 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_69f0bd43ba30819095eb1cfc3adf525c completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 28, 2026, 4:05 p.m.