Triple

T17717235
Position Surface form Disambiguated ID Type / Status
Subject Karlovy Vary District E442230 entity
Predicate containsTown P847 FINISHED
Object Ostrov 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: Ostrov | Statement: [Karlovy Vary District, containsTown, Ostrov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ostrov
Context triple: [Karlovy Vary District, containsTown, Ostrov]
  • A. Ostrov
    Ostrov is a historic town in Pskov Oblast, Russia, known for its medieval architecture and role as a regional administrative and cultural center.
  • B. Ostrov chosen
    Ostrov is a town in the Karlovy Vary Region of the Czech Republic known for its historical architecture and proximity to the spa city of Karlovy Vary.
  • C. Nilova Island
    Nilova Island is a small island in Russia’s Lake Seliger best known for the historic Nilov Monastery located on it.
  • D. Isola
    Isola is a small alpine commune in southeastern France known for its ski resort Isola 2000 and proximity to the Italian border.
  • E. Isola
    Isola is a small island located within Lake Sils in the Upper Engadine region of the Swiss Alps.
  • 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.