Triple

T18592845
Position Surface form Disambiguated ID Type / Status
Subject Pecherskyi District E454412 entity
Predicate locatedIn P40 FINISHED
Object central 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: central Kyiv | Statement: [Pecherskyi District, locatedIn, central Kyiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Kyiv
Context triple: [Pecherskyi District, locatedIn, central Kyiv]
  • A. Kyiv
    Kyiv is the capital and largest city of Ukraine, serving as its political, cultural, and economic center.
  • B. 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.
  • C. government quarter of Kyiv chosen
    The government quarter of Kyiv is the central administrative district of Ukraine’s capital where key national institutions, ministries, and executive bodies are concentrated.
  • D. Khmelnytskyi, Ukraine
    Khmelnytskyi is a regional city in western Ukraine known as an important administrative, economic, and transportation center.
  • E. Okhtyrka
    Okhtyrka is a historic city in northeastern Ukraine known as one of the principal centers of the Sloboda Ukraine region.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b7ce3881908302ee27a2cf80d6 completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.