Triple

T18652564
Position Surface form Disambiguated ID Type / Status
Subject Zhuliany Airport E455977 entity
Predicate hasOwner P347 FINISHED
Object City of Kyiv 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: City of Kyiv | Statement: [Zhuliany Airport, hasOwner, City of Kyiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Kyiv
Context triple: [Zhuliany Airport, hasOwner, City of Kyiv]
  • 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. Old Kyiv
    Old Kyiv is the historic core of Ukraine’s capital, encompassing its earliest urban settlement, ancient churches, and key medieval political and religious centers.
  • C. Kyiv chosen
    Kyiv is the capital and largest city of Ukraine, serving as its political, cultural, and economic center.
  • D. Okhtyrka
    Okhtyrka is a historic city in northeastern Ukraine known as one of the principal centers of the Sloboda Ukraine region.
  • E. Kievskaya
    Kievskaya is a prominent Moscow Metro station complex known for its ornate, Ukrainian-themed architecture and role as a major transfer hub.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5501279d08190aeca36df89fee2b2 completed April 19, 2026, 9:58 p.m.
Created at: April 10, 2026, 11:47 a.m.