Triple

T18714416
Position Surface form Disambiguated ID Type / Status
Subject Терек E457597 entity
Predicate hasTributary P415 FINISHED
Object Аргун
Аргун — река на Северном Кавказе, протекающая в Чечне и Ингушетии и известная своим горным характером и глубокими ущельями.
 E1338694 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: Аргун | Statement: [Терек, hasTributary, Аргун]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Аргун
Context triple: [Терек, hasTributary, Аргун]
  • A. Argun
    Argun is a small city in the Chechen Republic of Russia, located just southeast of the regional capital Grozny.
  • B. Alma River
    The Alma River is a watercourse on the Crimean Peninsula known for flowing through the Crimean Mountains and for being the site of the 1854 Battle of Alma during the Crimean War.
  • C. Ala-Archa River
    The Ala-Archa River is a mountain river in northern Kyrgyzstan that flows through the Ala-Archa Gorge and the capital region near Bishkek, known for its scenic landscapes and role in local recreation and water supply.
  • D. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • E. Yelshanka
    Yelshanka is a locality in Russia best known as the namesake of Yelshanka railway station.
  • 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: Аргун
Triple: [Терек, hasTributary, Аргун]
Generated description
Аргун — река на Северном Кавказе, протекающая в Чечне и Ингушетии и известная своим горным характером и глубокими ущельями.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Аргун
Target entity description: Аргун — река на Северном Кавказе, протекающая в Чечне и Ингушетии и известная своим горным характером и глубокими ущельями.
  • A. Argun
    Argun is a small city in the Chechen Republic of Russia, located just southeast of the regional capital Grozny.
  • B. Alma River
    The Alma River is a watercourse on the Crimean Peninsula known for flowing through the Crimean Mountains and for being the site of the 1854 Battle of Alma during the Crimean War.
  • C. Ala-Archa River
    The Ala-Archa River is a mountain river in northern Kyrgyzstan that flows through the Ala-Archa Gorge and the capital region near Bishkek, known for its scenic landscapes and role in local recreation and water supply.
  • D. Yura
    Yura is a common Slavic diminutive form of the male given name Yuri (or Yuriy), often used as a familiar or affectionate nickname.
  • E. Yelshanka
    Yelshanka is a locality in Russia best known as the namesake of Yelshanka railway station.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab4ee6881908f19558937cbb078 completed April 19, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b413d348190b34e236d44fb541a completed May 14, 2026, 1:54 a.m.
NEDg Description generation batch_6a052c40cd04819096757952a275ddcf completed May 14, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_6a052d1122ac819081c664d90d784a82 completed May 14, 2026, 2:01 a.m.
Created at: April 10, 2026, 11:50 a.m.