Triple

T19332674
Position Surface form Disambiguated ID Type / Status
Subject Южный федеральный округ E483534 entity
Predicate hasMajorCity P316 FINISHED
Object Севастополь 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: Севастополь | Statement: [Южный федеральный округ, hasMajorCity, Севастополь]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Севастополь
Context triple: [Южный федеральный округ, hasMajorCity, Севастополь]
  • A. Sevastopol chosen
    Sevastopol is a major port city on the Black Sea, historically significant as a naval base and the site of key military conflicts.
  • B. Simferopol
    Simferopol is the administrative and cultural center of Crimea, known as a key regional hub for transportation, education, and industry.
  • C. Yevpatoria
    Yevpatoria is a historic resort and port city on the western coast of Crimea, known for its beaches, therapeutic mud treatments, and diverse cultural heritage.
  • D. Feodosia Solovaya
    Feodosia Solovaya was a Russian noblewoman best known as the first wife of Ivan Ivanovich, the son and heir of Tsar Ivan the Terrible.
  • E. Kherson
    Kherson is a port city in southern Ukraine near the Black Sea, historically significant as a shipbuilding and industrial center and strategically important due to its location on the Dnieper River.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61642f49c81909226cfd701f7c139 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.