Triple

T16545033
Position Surface form Disambiguated ID Type / Status
Subject Var River E401919 entity
Predicate namedAfter P63 FINISHED
Object Var department E179574 NE 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: Var department | Statement: [Var River, namedAfter, Var department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Var department
Context triple: [Var River, namedAfter, 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. 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. Department T
    Department T was a specialized technical and scientific intelligence unit within the Soviet KGB’s foreign intelligence apparatus.
  • D. 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.
  • E. Department S
    Department S is a late-1960s British television crime drama series centered on an Interpol special unit that tackles unusual and complex international cases.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34560daf08190b353b415d8ab280d completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b3248c8190b63793bfc072aa4f completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.