Triple

T17709484
Position Surface form Disambiguated ID Type / Status
Subject Hotel Ukraine E441524 entity
Predicate locatedIn P40 FINISHED
Object Pecherskyi District 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: Pecherskyi District | Statement: [Hotel Ukraine, locatedIn, Pecherskyi District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pecherskyi District
Context triple: [Hotel Ukraine, locatedIn, Pecherskyi District]
  • A. Pecherskyi District chosen
    Pecherskyi District is a central administrative district of Kyiv, Ukraine, known for housing key government institutions, historic landmarks, and political centers.
  • B. Darnytskyi District
    Darnytskyi District is an administrative district on the left bank of Kyiv, Ukraine, known for its residential neighborhoods and significant religious and cultural landmarks.
  • C. Dnipro Raion
    Dnipro Raion is an administrative district in Dnipropetrovsk Oblast, Ukraine, centered around the city of Dnipro.
  • D. Chernihiv Raion
    Chernihiv Raion is an administrative district in northern Ukraine that encompasses the city of Chernihiv and surrounding rural areas.
  • E. Shakhtarsk Raion
    Shakhtarsk Raion was an administrative district in Donetsk Oblast in eastern Ukraine, known for encompassing several industrial and mining settlements.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47299cd7881908aac13b84acb61f7 completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:05 a.m.