Triple

T12138835
Position Surface form Disambiguated ID Type / Status
Subject Berounka E289129 entity
Predicate region P40 FINISHED
Object Czech lands 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: Czech lands | Statement: [Berounka, region, Czech lands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Czech lands
Context triple: [Berounka, region, Czech 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. Czech state
    The Czech state is the sovereign national government of the Czech Republic, responsible for administering the country’s public institutions, laws, and cultural heritage.
  • C. Bohemia
    Bohemia is a historical region in the western part of the modern Czech Republic, long a cultural and political center of Central Europe.
  • D. Bohemia
    Bohemia is a hamlet in Suffolk County, New York, known for its residential character and proximity to Long Island’s south shore communities.
  • E. Kingdom of Bohemia
    The Kingdom of Bohemia was a medieval and early modern Central European monarchy centered on Prague that became a key state within the Holy Roman Empire and later the Habsburg Monarchy.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158eef48819083bdce283a363414 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63458b22c8190b2a7d4a9cd25dfe1 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:49 p.m.