Triple

T10083137
Position Surface form Disambiguated ID Type / Status
Subject Cherkasy Oblast E213950 entity
Predicate contains P35 FINISHED
Object Mankivka
Mankivka is an urban-type settlement in central Ukraine known as a local administrative and cultural center within the Cherkasy region.
 E841415 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: Mankivka | Statement: [Cherkasy Oblast, contains, Mankivka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mankivka
Context triple: [Cherkasy Oblast, contains, Mankivka]
  • A. Makiivka
    Makiivka is a large industrial city in eastern Ukraine known for its coal mining and heavy industry, located near Donetsk in the Donbas region.
  • B. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • C. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • D. Olenka
    Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
  • E. Vishkanya
    Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
  • 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: Mankivka
Triple: [Cherkasy Oblast, contains, Mankivka]
Generated description
Mankivka is an urban-type settlement in central Ukraine known as a local administrative and cultural center within the Cherkasy region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mankivka
Target entity description: Mankivka is an urban-type settlement in central Ukraine known as a local administrative and cultural center within the Cherkasy region.
  • A. Makiivka
    Makiivka is a large industrial city in eastern Ukraine known for its coal mining and heavy industry, located near Donetsk in the Donbas region.
  • B. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • C. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • D. Olenka
    Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
  • E. Vishkanya
    Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
  • 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.