Triple

T22859643
Position Surface form Disambiguated ID Type / Status
Subject Korsun-Shevchenkivskyi E566878 entity
Predicate hasAlternativeName P39 FINISHED
Object Korsun-Shevchenkivsky 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: Korsun-Shevchenkivsky | Statement: [Korsun-Shevchenkivskyi, hasAlternativeName, Korsun-Shevchenkivsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korsun-Shevchenkivsky
Context triple: [Korsun-Shevchenkivskyi, hasAlternativeName, Korsun-Shevchenkivsky]
  • A. Korsun-Shevchenkivskyi chosen
    Korsun-Shevchenkivskyi is a town in central Ukraine known as the site of a major World War II battle during the Korsun–Shevchenkivsky Offensive.
  • B. Orikhiv
    Orikhiv is a frontline town in Ukraine’s Zaporizhzhia region that has become strategically important in the Russo-Ukrainian war.
  • C. Kostiantynivka
    Kostiantynivka is an industrial city in eastern Ukraine known for its metallurgical and glass production and its strategic location within Donetsk Oblast.
  • D. Kupiansk
    Kupiansk is a strategically important city in Ukraine’s Kharkiv Oblast, serving as a key railway and logistics hub near the front lines of the Russo-Ukrainian War.
  • E. Khmilnyk
    Khmilnyk is a spa and resort town in central Ukraine known for its radon mineral waters and therapeutic health facilities.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17ec082c08190943e6cfc2e25c5cc completed April 29, 2026, 3:45 a.m.
Created at: April 17, 2026, 3:37 p.m.