Triple

T11999990
Position Surface form Disambiguated ID Type / Status
Subject Mogilev Region E285632 entity
Predicate containsCity P294 FINISHED
Object Krasnapolle
Krasnapolle is a small urban-type settlement in eastern Belarus known as a local administrative and cultural center within the Mogilev Region.
E959316 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: Krasnapolle | Statement: [Mogilev Region, containsCity, Krasnapolle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krasnapolle
Context triple: [Mogilev Region, containsCity, Krasnapolle]
  • A. Ignatyev
    Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
  • B. Kalininsk
    Kalininsk is a small town in southwestern Russia known for its agricultural surroundings and location within Saratov Oblast on the Volga River region.
  • C. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • D. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • E. Khoyski
    Khoyski is the surname of an Azerbaijani noble and political family best known for Fatali Khan Khoyski, the first Prime Minister of the Azerbaijan Democratic Republic.
  • 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: Krasnapolle
Triple: [Mogilev Region, containsCity, Krasnapolle]
Generated description
Krasnapolle is a small urban-type settlement in eastern Belarus known as a local administrative and cultural center within the Mogilev Region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krasnapolle
Target entity description: Krasnapolle is a small urban-type settlement in eastern Belarus known as a local administrative and cultural center within the Mogilev Region.
  • A. Ignatyev
    Ignatyev is a Russian surname borne by various notable figures in politics, military, sports, and the arts.
  • B. Kalininsk
    Kalininsk is a small town in southwestern Russia known for its agricultural surroundings and location within Saratov Oblast on the Volga River region.
  • C. Arapov
    Arapov is a Slavic masculine surname commonly found in Russian-speaking countries.
  • D. Tolbukhin
    Tolbukhin is a Russian surname most notably associated with Soviet military commander Fyodor Tolbukhin, a prominent general during World War II.
  • E. Khoyski
    Khoyski is the surname of an Azerbaijani noble and political family best known for Fatali Khan Khoyski, the first Prime Minister of the Azerbaijan Democratic Republic.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ae4733c81909956cc8d6bae343a completed May 1, 2026, 11:13 a.m.
NEDg Description generation batch_69f48df7790c8190a8e79466f032e86d completed May 1, 2026, 11:26 a.m.
NED2 Entity disambiguation (via description) batch_69f490dfe4e4819092d7494ba9b807db completed May 1, 2026, 11:39 a.m.
Created at: April 8, 2026, 9:46 p.m.