Triple

T17763209
Position Surface form Disambiguated ID Type / Status
Subject Sokolov District E443431 entity
Predicate contains P35 FINISHED
Object town of Kraslice 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: town of Kraslice | Statement: [Sokolov District, contains, town of Kraslice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Kraslice
Context triple: [Sokolov District, contains, town of Kraslice]
  • A. Kraslice chosen
    Kraslice is a town in the Karlovy Vary Region of the Czech Republic, known historically for its musical instrument manufacturing.
  • B. Kralovice
    Kralovice is a small town in the western Czech Republic known for its historical architecture and role as a local administrative center.
  • C. Kralice nad Oslavou
    Kralice nad Oslavou is a small historic town in the Czech Republic best known as the place where the influential Czech translation known as the Bible of Kralice was produced and published.
  • D. Domažlice
    Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
  • E. Kraslava
    Kraslava is a small town in southeastern Latvia known for its historic architecture and scenic location near the borders with Belarus and Lithuania.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485f9fa188190aef5ffeb0b628632 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.