Triple

T4456544
Position Surface form Disambiguated ID Type / Status
Subject Karlovy Vary Region E97738 entity
Predicate hasCityStatusFor P30949 FINISHED
Object Sokolov E394625 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: Sokolov | Statement: [Karlovy Vary Region, hasCityStatusFor, Sokolov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sokolov
Context triple: [Karlovy Vary Region, hasCityStatusFor, Sokolov]
  • A. Sokolov chosen
    Sokolov is a town in the Karlovy Vary Region of the Czech Republic, known for its historical center and location in the Ohře River valley.
  • B. Gottwaldov
    Gottwaldov is the former name (1949–1990) of the Czech industrial city now known as Zlín, historically associated with the Baťa shoe company.
  • C. Mikulov
    Mikulov is a historic wine-producing town in the South Moravian region of the Czech Republic, known for its chateau, picturesque old town, and proximity to the Pálava Hills.
  • D. Osek
    Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
  • E. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356434e9481908f883c09e0908f6b completed March 13, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69b67bae950c8190a9ef8a812d47bf8d completed March 15, 2026, 9:28 a.m.
Created at: March 12, 2026, 11:33 p.m.