Triple

T7296139
Position Surface form Disambiguated ID Type / Status
Subject House of Kaunitz E164525 entity
Predicate hasSeat P3522 FINISHED
Object Moravia E35412 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: Moravia | Statement: [House of Kaunitz, hasSeat, Moravia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moravia
Context triple: [House of Kaunitz, hasSeat, Moravia]
  • A. Moravia chosen
    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.
  • B. Moravia
    Moravia is a canton in Costa Rica known for its suburban character and proximity to the capital city of San José.
  • 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. North Moravia
    North Moravia is the northern part of the historical Moravia region in the eastern Czech Republic, known for its industrial cities and proximity to the Jeseníky Mountains.
  • E. South Moravia
    South Moravia is a region in the southeastern part of the Czech Republic known for its historic cities, wine production, and cultural heritage.
  • 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_69c6887a499881909dd23341399c59d8 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6eb8d0c6c8190b32cd08b9a5d96cc completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eee330e08190b39bdf3f5071cace completed March 28, 2026, 3:08 p.m.
Created at: March 27, 2026, 3 p.m.