Triple

T14267806
Position Surface form Disambiguated ID Type / Status
Subject Bolshoy Kinel River E353695 entity
Predicate hasNameInLanguage P15 FINISHED
Object Большой Кинель
Большой Кинель — река в России, являющаяся притоком Самары и протекающая по территории Самарской области.
 E1090332 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: Большой Кинель | Statement: [Bolshoy Kinel River, hasNameInLanguage, Большой Кинель]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Большой Кинель
Context triple: [Bolshoy Kinel River, hasNameInLanguage, Большой Кинель]
  • A. Pavlovsk
    Pavlovsk is a town in southwestern Russia known as a local administrative and cultural center within Voronezh Oblast.
  • B. Pavlovsk
    Pavlovsk is a historic Russian town near Saint Petersburg, best known for its imperial palace and landscaped park that exemplify neoclassical architecture and design.
  • C. Karlino
    Karlino is a small town in northwestern Poland known for its location in the historical region of Pomerania.
  • D. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • E. Mikhaylovskoye
    Mikhaylovskoye is a rural estate and museum complex in Russia best known as the family estate and place of exile of the poet Alexander Pushkin.
  • 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: Большой Кинель
Triple: [Bolshoy Kinel River, hasNameInLanguage, Большой Кинель]
Generated description
Большой Кинель — река в России, являющаяся притоком Самары и протекающая по территории Самарской области.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Большой Кинель
Target entity description: Большой Кинель — река в России, являющаяся притоком Самары и протекающая по территории Самарской области.
  • A. Pavlovsk
    Pavlovsk is a town in southwestern Russia known as a local administrative and cultural center within Voronezh Oblast.
  • B. Pavlovsk
    Pavlovsk is a historic Russian town near Saint Petersburg, best known for its imperial palace and landscaped park that exemplify neoclassical architecture and design.
  • C. Karlino
    Karlino is a small town in northwestern Poland known for its location in the historical region of Pomerania.
  • D. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • E. Mikhaylovskoye
    Mikhaylovskoye is a rural estate and museum complex in Russia best known as the family estate and place of exile of the poet Alexander Pushkin.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6358c2288190ac1fd26e688a605d completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326551b08190ae8fe220a6422339 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd3417e8e88190b099bfe4ba30f364 completed May 8, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_69fd37df3dfc8190a594abb2c14e11bb completed May 8, 2026, 1:09 a.m.
Created at: April 10, 2026, 1:10 a.m.