Triple

T20944192
Position Surface form Disambiguated ID Type / Status
Subject Český Krumlov E515801 entity
Predicate nearbyCity P350 FINISHED
Object České Budějovice 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: České Budějovice | Statement: [Český Krumlov, nearbyCity, České Budějovice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: České Budějovice
Context triple: [Český Krumlov, nearbyCity, České Budějovice]
  • A. České Budějovice chosen
    České Budějovice is a historic city in the Czech Republic known for its medieval architecture and as the original home of Budweiser Budvar beer.
  • B. Moravské Budějovice
    Moravské Budějovice is a small historic town in the Czech Republic known for its traditional architecture and regional cultural heritage.
  • C. Žatec
    Žatec is a historic Czech town in the Ústí nad Labem Region renowned for its long-standing hop-growing tradition and beer production.
  • D. Plzeň
    Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
  • E. Jihlava
    Jihlava is a historic city in the Czech Republic, known as one of the country’s oldest mining towns and a regional cultural and administrative center.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fad705e481909da0098d7c73cd02 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 12:52 p.m.