Triple

T10337891
Position Surface form Disambiguated ID Type / Status
Subject Jean-François Champollion E243053 entity
Predicate birthPlace P1 FINISHED
Object Lot department E163090 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: Lot department | Statement: [Jean-François Champollion, birthPlace, Lot department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lot department
Context triple: [Jean-François Champollion, birthPlace, Lot department]
  • A. Lot department chosen
    The Lot department is an administrative region in southwestern France known for its rugged limestone landscapes, medieval villages, and prehistoric cave art.
  • B. 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.
  • 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 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 T
    Department T was a specialized technical and scientific intelligence unit within the Soviet KGB’s foreign intelligence apparatus.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e0a3a8e4819097268ce101dec2d1 completed April 7, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7506278f881908b090b13706e5d4e completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:54 a.m.