Triple

T19795692
Position Surface form Disambiguated ID Type / Status
Subject Austrian Army in Italy E475533 entity
Predicate recruitmentArea P4145 FINISHED
Object Bohemian lands 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: Bohemian lands | Statement: [Austrian Army in Italy, recruitmentArea, Bohemian lands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bohemian lands
Context triple: [Austrian Army in Italy, recruitmentArea, Bohemian lands]
  • A. Czech lands chosen
    The Czech lands are the historical regions of Bohemia, Moravia, and Czech Silesia that form the core territory of today’s Czech Republic.
  • B. Bohemia
    Bohemia is a historical region in the western part of the modern Czech Republic, long a cultural and political center of Central Europe.
  • C. Bohemia
    Bohemia is a hamlet in Suffolk County, New York, known for its residential character and proximity to Long Island’s south shore communities.
  • D. Moravia
    Moravia is a historical region in the eastern part of the Czech Republic, known for its distinct cultural heritage, wine production, and major cities such as Brno and Olomouc.
  • E. Moravia
    Moravia is a canton in Costa Rica known for its suburban character and proximity to the capital city of San José.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c659088190928fa4c9264135d3 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.