Triple

T23285198
Position Surface form Disambiguated ID Type / Status
Subject Roer Department E588966 entity
Predicate borders P224 FINISHED
Object Ourthe Department NE NERFINISHED

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: Ourthe Department | Statement: [Roer Department, borders, Ourthe Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ourthe Department
Context triple: [Roer Department, borders, Ourthe Department]
  • A. Department of Ourthe chosen
    The Department of Ourthe was an administrative division of the First French Empire, centered on the city of Liège in present-day Belgium.
  • B. Home Department
    The Home Department was a former British government ministry responsible for domestic affairs, which was later reorganized and succeeded by the Home Office.
  • C. Var department
    Var department is an administrative division in the Provence-Alpes-Côte d'Azur region of southeastern France, known for its Mediterranean coastline, resorts, and historic towns.
  • D. Acting Department
    The Acting Department is a specialized faculty within the Beijing Film Academy dedicated to training professional actors for film, television, and stage.
  • E. Acting Department
    The Acting Department is a specialized faculty within the Łódź Film School that trains actors for film, television, and theater through intensive practical and theoretical instruction.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1964600888190b40ecbefdc8aec64 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:59 p.m.