Triple

T10083130
Position Surface form Disambiguated ID Type / Status
Subject Cherkasy Oblast E213950 entity
Predicate contains P35 FINISHED
Object Shpola
Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
E841412 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: Shpola | Statement: [Cherkasy Oblast, contains, Shpola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shpola
Context triple: [Cherkasy Oblast, contains, Shpola]
  • A. Kremenets
    Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
  • B. Pavlohrad
    Pavlohrad is an industrial city in central-eastern Ukraine known for its coal mining, chemical industry, and role as a regional transport hub.
  • C. Krasny Kut
    Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
  • D. Medgidia
    Medgidia is a city in southeastern Romania, situated in the historical region of Dobruja and known as an important local industrial and transportation hub.
  • E. Horlivka
    Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
  • 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: Shpola
Triple: [Cherkasy Oblast, contains, Shpola]
Generated description
Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shpola
Target entity description: Shpola is a small town in central Ukraine that serves as an administrative center within Cherkasy Oblast.
  • A. Kremenets
    Kremenets is a historic town in western Ukraine known for its rich cultural heritage and once-significant Jewish community.
  • B. Pavlohrad
    Pavlohrad is an industrial city in central-eastern Ukraine known for its coal mining, chemical industry, and role as a regional transport hub.
  • C. Krasny Kut
    Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
  • D. Medgidia
    Medgidia is a city in southeastern Romania, situated in the historical region of Dobruja and known as an important local industrial and transportation hub.
  • E. Horlivka
    Horlivka is an industrial city in eastern Ukraine’s Donetsk region, known for its coal mining and chemical industries and its location within the contested Donbas area.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04352d081908f676444cd2d2578 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b675f4b08190bd8285f210191b93 completed April 5, 2026, 7:22 p.m.
NEDg Description generation batch_69d2ba645ec08190b33388a40ca7582e completed April 5, 2026, 7:39 p.m.
NED2 Entity disambiguation (via description) batch_69d2babd01908190b5c9f9c3541361ee completed April 5, 2026, 7:40 p.m.
Created at: March 30, 2026, 9 p.m.