Triple

T8978601
Position Surface form Disambiguated ID Type / Status
Subject Ostravice E214462 entity
Predicate hasNameInLanguage P15 FINISHED
Object Ostravice@cs E214462 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: Ostravice@cs | Statement: [Ostravice, hasNameInLanguage, Ostravice@cs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostravice@cs
Context triple: [Ostravice, hasNameInLanguage, Ostravice@cs]
  • A. VSB – Technical University of Ostrava
    VSB – Technical University of Ostrava is a major Czech public university known for its strong focus on engineering, technology, and applied sciences.
  • B. Ostravice chosen
    Ostravice is a river in the Czech Republic that flows through the Moravian-Silesian region and gives its name to the town of Ostravice and partly to the city of Ostrava.
  • C. University of Ostrava
    The University of Ostrava is a public higher education institution in Ostrava, Czech Republic, known for its focus on humanities, natural sciences, health studies, and social sciences.
  • D. Ostrava city campus
    Ostrava city campus is the main urban campus of the University of Ostrava, housing its key faculties and facilities in the center of Ostrava, Czech Republic.
  • E. O2 Czech Republic
    O2 Czech Republic is a major telecommunications company in the Czech Republic providing mobile, fixed-line, and internet services.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a4b3e88190b778a9b5589cab6d completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96e7eb48190a3df410b1544b997 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:03 p.m.