Triple

T21327615
Position Surface form Disambiguated ID Type / Status
Subject Bucha E525801 entity
Predicate hasOfficialName P66 FINISHED
Object Буча
Буча — це місто в Київській області України, яке стало всесвітньо відомим через масові вбивства та воєнні злочини, скоєні там під час російського вторгнення у 2022 році.
 E1478661 NE FINISHED

How this triple was built (4 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: Буча | Statement: [Bucha, hasOfficialName, Буча]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Буча
Context triple: [Bucha, hasOfficialName, Буча]
  • A. Baturyn
    Baturyn is a historic town in northern Ukraine that served as a major political and military center of the Cossack Hetmanate in the 17th–18th centuries.
  • B. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • C. Luzhitsy
    Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
  • D. Bezhitsa
    Bezhitsa is a district of Bryansk in western Russia, historically known as an industrial town and railway hub.
  • E. Zhmerynka
    Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Буча
Triple: [Bucha, hasOfficialName, Буча]
Generated description
Буча — це місто в Київській області України, яке стало всесвітньо відомим через масові вбивства та воєнні злочини, скоєні там під час російського вторгнення у 2022 році.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Буча
Target entity description: Буча — це місто в Київській області України, яке стало всесвітньо відомим через масові вбивства та воєнні злочини, скоєні там під час російського вторгнення у 2022 році.
  • A. Baturyn
    Baturyn is a historic town in northern Ukraine that served as a major political and military center of the Cossack Hetmanate in the 17th–18th centuries.
  • B. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • C. Luzhitsy
    Luzhitsy is a rural village in northwestern Russia historically associated with the Votic people and their traditional language and culture.
  • D. Bezhitsa
    Bezhitsa is a district of Bryansk in western Russia, historically known as an industrial town and railway hub.
  • E. Zhmerynka
    Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
  • F. None of above. chosen

Provenance (5 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab4d69b4819088649e34213d0b67 completed April 21, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5ba86c08190b1193cb403e2edda completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a653f0108190ac0881f63865222e completed May 17, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_6a09a6e82b3881908bb85f0d7fe3d6d9 completed May 17, 2026, 11:30 a.m.
Created at: April 16, 2026, 4:41 p.m.