Triple

T1947050
Position Surface form Disambiguated ID Type / Status
Subject Gorki, Moscow Oblast E42078 entity
Predicate hasNameInRussian P20560 FINISHED
Object Горки
Горки — это населённый пункт в Московской области России, известный как один из подмосковных посёлков с дачными и жилыми зонами.
 E218161 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: Горки | Statement: [Gorki, Moscow Oblast, hasNameInRussian, Горки]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Горки
Context triple: [Gorki, Moscow Oblast, hasNameInRussian, Горки]
  • A. Андреевский скит
    Андреевский скит — это православный монастырский скит, посвящённый апостолу Андрею, расположенный на Афоне и относящийся к русской монашеской традиции.
  • B. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • C. Chernyakhovsky
    Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
  • D. Taras Bulba
    Taras Bulba is a historical novella by Nikolai Gogol that portrays the fierce, tragic lives and battles of Ukrainian Cossacks in the 16th–17th centuries.
  • E. Tolstaya
    Tolstaya is a Russian noble family name most famously borne by Sophia Tolstaya, the wife and muse of writer Leo Tolstoy.
  • 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: Горки
Triple: [Gorki, Moscow Oblast, hasNameInRussian, Горки]
Generated description
Горки — это населённый пункт в Московской области России, известный как один из подмосковных посёлков с дачными и жилыми зонами.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Горки
Target entity description: Горки — это населённый пункт в Московской области России, известный как один из подмосковных посёлков с дачными и жилыми зонами.
  • A. Андреевский скит
    Андреевский скит — это православный монастырский скит, посвящённый апостолу Андрею, расположенный на Афоне и относящийся к русской монашеской традиции.
  • B. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • C. Chernyakhovsky
    Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
  • D. Taras Bulba
    Taras Bulba is a historical novella by Nikolai Gogol that portrays the fierce, tragic lives and battles of Ukrainian Cossacks in the 16th–17th centuries.
  • E. Tolstaya
    Tolstaya is a Russian noble family name most famously borne by Sophia Tolstaya, the wife and muse of writer Leo Tolstoy.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb32ebae881908f7541301f0198ae completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbbf724081909b24680d483edbd1 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc6aa96c81909ae3cff6c7ab7f79 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfcebbc808190a74f9082636bce11 completed March 8, 2026, 10:49 p.m.
Created at: March 4, 2026, 7:36 p.m.