Triple

T3866192
Position Surface form Disambiguated ID Type / Status
Subject Czech lands E91859 entity
Predicate historicalNameInGerman P22792 FINISHED
Object Die böhmischen Länder E91859 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: Die böhmischen Länder | Statement: [Czech lands, historicalNameInGerman, Die böhmischen Länder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Die böhmischen Länder
Context triple: [Czech lands, historicalNameInGerman, Die böhmischen Länder]
  • A. Bohemia
    Bohemia is a historical region in the western part of the modern Czech Republic, long a cultural and political center of Central Europe.
  • B. 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.
  • C. 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.
  • D. Bohemia region
    Bohemia region is a historical region in the western part of the modern Czech Republic, known for its central role in Czech history and culture.
  • E. Kralupy nad Vltavou
    Kralupy nad Vltavou is a town in the Czech Republic situated on the Vltava River, known for its chemical industry and role as a regional transport hub.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3b8d988190b56d42ac1521e19c completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512410f38819089adccf0a476dd8f completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:19 p.m.