Triple

T7750603
Position Surface form Disambiguated ID Type / Status
Subject Kiev, Russian Empire E175748 entity
Predicate followedBy P78 FINISHED
Object Kyiv, Ukrainian Soviet Socialist Republic E17733 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: Kyiv, Ukrainian Soviet Socialist Republic | Statement: [Kiev, Russian Empire, followedBy, Kyiv, Ukrainian Soviet Socialist Republic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyiv, Ukrainian Soviet Socialist Republic
Context triple: [Kiev, Russian Empire, followedBy, Kyiv, Ukrainian Soviet Socialist Republic]
  • A. Kiev, Russian Empire
    Kiev, Russian Empire was a major city of the Russian Empire, now known as Kyiv, the capital of modern-day Ukraine.
  • B. Kyiv chosen
    Kyiv is the capital and largest city of Ukraine, serving as its political, cultural, and economic center.
  • C. Dnipropetrovsk, Ukrainian SSR, Soviet Union
    Dnipropetrovsk, Ukrainian SSR, Soviet Union was a major industrial city in the Ukrainian Soviet Socialist Republic, known today as Dnipro in independent Ukraine.
  • D. Khmelnytskyi, Ukraine
    Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and transportation center.
  • E. Kharkiv
    Kharkiv is Ukraine’s second-largest city and a major industrial, cultural, and educational center in the northeast of the country.
  • 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_69c69960b3588190a53aa590d31d9544 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b264c0819095c37534a676531d completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7c89e4c81909196638c159605b8 completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:08 p.m.