Triple

T9603962
Position Surface form Disambiguated ID Type / Status
Subject Kuzminki E231921 entity
Predicate hasRussianName P20560 FINISHED
Object Кузьминки
Кузьминки — это район и одноимённый парк на юго-востоке Москвы, известный своей обширной зелёной зоной и исторической усадьбой.
 E824547 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: Кузьминки | Statement: [Kuzminki, hasRussianName, Кузьминки]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Кузьминки
Context triple: [Kuzminki, hasRussianName, Кузьминки]
  • A. Romashkovo
    Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
  • B. Ramenskoye
    Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
  • C. Klushino
    Klushino is a rural village in western Russia best known as the birthplace of cosmonaut Yuri Gagarin.
  • D. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • E. Pirogovo
    Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational 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: Кузьминки
Triple: [Kuzminki, hasRussianName, Кузьминки]
Generated description
Кузьминки — это район и одноимённый парк на юго-востоке Москвы, известный своей обширной зелёной зоной и исторической усадьбой.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Кузьминки
Target entity description: Кузьминки — это район и одноимённый парк на юго-востоке Москвы, известный своей обширной зелёной зоной и исторической усадьбой.
  • A. Romashkovo
    Romashkovo is a rural locality in Moscow Oblast, Russia, known as a suburban settlement within the Odintsovsky District near Moscow.
  • B. Ramenskoye
    Ramenskoye is a town in Moscow Oblast, Russia, located southeast of Moscow and known for its industrial base and proximity to major Moscow airports.
  • C. Klushino
    Klushino is a rural village in western Russia best known as the birthplace of cosmonaut Yuri Gagarin.
  • D. Astapovo
    Astapovo is a small Russian railway station village historically known as the place where the writer Leo Tolstoy died in 1910.
  • E. Pirogovo
    Pirogovo is a settlement located near the Pirogovskoye Reservoir, known as a local residential and recreational 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a5cddf481909aa6b589bcb3e71a completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1d597224481908154e5db47ae52f9 completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d6463fe481908e5d3f3fd22cffa4 completed April 5, 2026, 3:25 a.m.
NED2 Entity disambiguation (via description) batch_69d1d6dc0bd8819082a5ad417ca87a76 completed April 5, 2026, 3:28 a.m.
Created at: March 30, 2026, 8:08 p.m.