Triple

T15579775
Position Surface form Disambiguated ID Type / Status
Subject Bogomolets National Medical University E374462 entity
Predicate region P40 FINISHED
Object Kyiv city municipality 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 city municipality | Statement: [Bogomolets National Medical University, region, Kyiv city municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyiv city municipality
Context triple: [Bogomolets National Medical University, region, Kyiv city municipality]
  • A. Kyiv Metropolis
    Kyiv Metropolis was the principal ecclesiastical jurisdiction of the Eastern Orthodox Church in medieval Rus', centered in Kyiv and serving as the spiritual and administrative hub for the region’s Christian communities.
  • B. Kyiv chosen
    Kyiv is the capital and largest city of Ukraine, serving as its political, cultural, and economic center.
  • C. Oleksandriia
    Oleksandriia is a city in central Ukraine known as an industrial and transport hub within the Kirovohrad region.
  • D. Kharkiv
    Kharkiv is Ukraine’s second-largest city and a major industrial, cultural, and educational center in the northeast of the country.
  • E. Kiev Governorate
    Kiev Governorate was an administrative division of the Russian Empire centered on the city of Kiev, encompassing much of central Ukraine in the 18th–early 20th centuries.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e24064c8190b132c3092877fbfa completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f30e48881908b30a71796fe0d72 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:11 a.m.