Triple

T17717238
Position Surface form Disambiguated ID Type / Status
Subject Karlovy Vary District E442230 entity
Predicate containsTown P847 FINISHED
Object Žlutice 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: Žlutice | Statement: [Karlovy Vary District, containsTown, Žlutice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Žlutice
Context triple: [Karlovy Vary District, containsTown, Žlutice]
  • A. Žlutice chosen
    Žlutice is a small historic town in the Karlovy Vary Region of the Czech Republic that serves as a local administrative and service center for surrounding communities.
  • B. Žužemberk
    Žužemberk is a small historic town in southeastern Slovenia, known for its medieval castle and picturesque setting along the Krka River.
  • C. Sudylkiv
    Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
  • D. Kolinec
    Kolinec is a small market town in the Plzeň Region of the Czech Republic, known for its historic architecture and rural setting in the Bohemian countryside.
  • E. Kcyninka
    Kcyninka is a small river in Poland that serves as a tributary of the Noteć River.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47481663c8190a1110385e5596ab0 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.