Triple

T7781966
Position Surface form Disambiguated ID Type / Status
Subject Vinnytsia Oblast E221541 entity
Predicate containsCity P294 FINISHED
Object Zhmerynka
Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
E693341 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: Zhmerynka | Statement: [Vinnytsia Oblast, containsCity, Zhmerynka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhmerynka
Context triple: [Vinnytsia Oblast, containsCity, Zhmerynka]
  • A. Demänovka
    Demänovka is a river in the Liptov region of northern Slovakia, known for flowing through the Demänovská Valley in the Low Tatras.
  • B. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • C. Dzyatlava
    Dzyatlava is a small historic town in present-day Belarus, known for its Jewish heritage and as the birthplace of the influential rabbi and ethicist Yisrael Meir Kagan (the Chofetz Chaim).
  • D. Makiyivka
    Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
  • E. Dzyarzhynskaya Hara
    Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
  • 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: Zhmerynka
Triple: [Vinnytsia Oblast, containsCity, Zhmerynka]
Generated description
Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zhmerynka
Target entity description: Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
  • A. Demänovka
    Demänovka is a river in the Liptov region of northern Slovakia, known for flowing through the Demänovská Valley in the Low Tatras.
  • B. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • C. Dzyatlava
    Dzyatlava is a small historic town in present-day Belarus, known for its Jewish heritage and as the birthplace of the influential rabbi and ethicist Yisrael Meir Kagan (the Chofetz Chaim).
  • D. Makiyivka
    Makiyivka is a major industrial city in eastern Ukraine’s Donetsk region, historically known for its coal mining and heavy industry.
  • E. Dzyarzhynskaya Hara
    Dzyarzhynskaya Hara is the tallest hill in Belarus, known as the country’s highest natural elevation.
  • 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cadf1dcc6c8190b3c6ee4ff7808e02 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5d30c748190bbb71534cfdf4f75 completed March 30, 2026, 10:14 p.m.
NEDg Description generation batch_69caf81ebde881909bd131da8987b449 completed March 30, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69cafa013f348190a2067dee4a0c8c40 completed March 30, 2026, 10:32 p.m.
Created at: March 30, 2026, 4:21 p.m.