Triple

T22152253
Position Surface form Disambiguated ID Type / Status
Subject Fortifications of Toulon E547442 entity
Predicate locatedIn P40 FINISHED
Object Var 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: Var department | Statement: [Fortifications of Toulon, locatedIn, Var department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Var department
Context triple: [Fortifications of Toulon, locatedIn, Var department]
  • A. Var department chosen
    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.
  • B. Department 1
    Department 1 is an academic unit focused on research and education in algorithms and computational complexity theory.
  • C. 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.
  • D. Department T
    Department T was a specialized technical and scientific intelligence unit within the Soviet KGB’s foreign intelligence apparatus.
  • E. Department K
    Department K was a specialized counterintelligence unit within the First Chief Directorate of the KGB, focused primarily on monitoring and combating foreign intelligence activities.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f4b05c8190a824f55804f6d4d5 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.