Triple

T21381824
Position Surface form Disambiguated ID Type / Status
Subject Kovzha River E527376 entity
Predicate hasNameInRussian P20560 FINISHED
Object Ковжа
Ковжа — это река в Вологодской области России, являющаяся притоком реки Андоги и частью водной системы региона.
 E1481304 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: Ковжа | Statement: [Kovzha River, hasNameInRussian, Ковжа]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ковжа
Context triple: [Kovzha River, hasNameInRussian, Ковжа]
  • A. Makrinitsa
    Makrinitsa is a traditional mountain village in Greece known for its preserved stone architecture, panoramic views over Volos, and location on the slopes of Mount Pelion.
  • B. Свислочь
    Свислочь — река в Беларуси, протекающая через Минск и являющаяся одним из заметных водных объектов столицы.
  • C. Yurka
    Yurka is the surname of Blanche Yurka, an American actress and director known for her work on stage and in early cinema.
  • D. Bekhovo
    Bekhovo is a small Russian village on the Oka River, best known for its picturesque landscapes and association with the painter Vasily Polenov.
  • E. Koshovyi
    Koshovyi is a Ukrainian surname most notably associated with comedian and actor Yevhen Koshovyi.
  • 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: Ковжа
Triple: [Kovzha River, hasNameInRussian, Ковжа]
Generated description
Ковжа — это река в Вологодской области России, являющаяся притоком реки Андоги и частью водной системы региона.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ковжа
Target entity description: Ковжа — это река в Вологодской области России, являющаяся притоком реки Андоги и частью водной системы региона.
  • A. Makrinitsa
    Makrinitsa is a traditional mountain village in Greece known for its preserved stone architecture, panoramic views over Volos, and location on the slopes of Mount Pelion.
  • B. Свислочь
    Свислочь — река в Беларуси, протекающая через Минск и являющаяся одним из заметных водных объектов столицы.
  • C. Yurka
    Yurka is the surname of Blanche Yurka, an American actress and director known for her work on stage and in early cinema.
  • D. Bekhovo
    Bekhovo is a small Russian village on the Oka River, best known for its picturesque landscapes and association with the painter Vasily Polenov.
  • E. Koshovyi
    Koshovyi is a Ukrainian surname most notably associated with comedian and actor Yevhen Koshovyi.
  • 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0cf89f08190bd7c0d552232d948 completed April 22, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09b426553881909477ea3902819672 completed May 17, 2026, 12:27 p.m.
NEDg Description generation batch_6a09b5e6d1ac8190aeec88859d17d257 completed May 17, 2026, 12:34 p.m.
NED2 Entity disambiguation (via description) batch_6a09b699fef081909797a5fc50814cb9 completed May 17, 2026, 12:37 p.m.
Created at: April 16, 2026, 5:12 p.m.