Triple

T18983794
Position Surface form Disambiguated ID Type / Status
Subject Cantonal Court of Bern E464497 entity
Predicate hasOrganisationalUnit P3892 FINISHED
Object commercial law division NE NERFINISHED

How this triple was built (3 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: commercial law division | Statement: [Cantonal Court of Bern, hasOrganisationalUnit, commercial law division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: commercial law division
Context triple: [Cantonal Court of Bern, hasOrganisationalUnit, commercial law division]
  • A. commercial law division
    The commercial law division is a specialized chamber of the Supreme Court of the Slovak Republic that handles high-level disputes and legal issues related to business and commercial matters.
  • B. Commercial Division
    The Commercial Division is a unit within the Office of the Attorney General for the District of Columbia that handles legal matters related to the District’s commercial, financial, and business interests.
  • C. Commercial Division
    The Commercial Division is a specialized branch of the Supreme Court of the Bahamas that handles complex business and commercial disputes.
  • D. Department of Commercial Law
    The Department of Commercial Law is an academic unit specializing in business and commercial legal studies within the Faculty of Law at the University of Cape Town.
  • E. Department of Commercial Law
    The Department of Commercial Law is an academic unit specializing in business and commercial legal studies within Istanbul University’s Faculty of Law.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: commercial law division
Target entity description: The commercial law division is a specialized unit of the Cantonal Court of Bern that handles disputes and legal matters related to business and commercial activities.
  • A. commercial law division
    The commercial law division is a specialized chamber of the Supreme Court of the Slovak Republic that handles high-level disputes and legal issues related to business and commercial matters.
  • B. Commercial Division
    The Commercial Division is a unit within the Office of the Attorney General for the District of Columbia that handles legal matters related to the District’s commercial, financial, and business interests.
  • C. Commercial Division
    The Commercial Division is a specialized branch of the Supreme Court of the Bahamas that handles complex business and commercial disputes.
  • D. Department of Commercial Law
    The Department of Commercial Law is an academic unit specializing in business and commercial legal studies within Istanbul University’s Faculty of Law.
  • E. Department of Commercial Law
    The Department of Commercial Law is an academic unit specializing in business and commercial legal studies within the Faculty of Law at the University of Cape Town.
  • F. None of above. chosen

Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65de6288190a53a3fdd59013d2d completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.