Triple

T13845537
Position Surface form Disambiguated ID Type / Status
Subject Votka River E332793 entity
Predicate hasNameInRussian P20560 FINISHED
Object Вотка
Вотка — это река в России, являющаяся притоком реки Камы в Пермском крае.
 E1064029 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: Вотка | Statement: [Votka River, hasNameInRussian, Вотка]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Вотка
Context triple: [Votka River, hasNameInRussian, Вотка]
  • A. Volzhsky
    Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • D. Kastornoye
    Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
  • E. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • 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: Вотка
Triple: [Votka River, hasNameInRussian, Вотка]
Generated description
Вотка — это река в России, являющаяся притоком реки Камы в Пермском крае.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Вотка
Target entity description: Вотка — это река в России, являющаяся притоком реки Камы в Пермском крае.
  • A. Volzhsky
    Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
  • B. Yuzovka
    Yuzovka was the original name of the industrial settlement in eastern Ukraine that later developed into the city of Donetsk.
  • C. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • D. Kastornoye
    Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
  • E. Otradnoye
    Otradnoye is a town in Russia located within the Leningrad (Saint Petersburg) region, known for its position along the Neva River and proximity to Saint Petersburg.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b1a25c8190a9f85ba43c421188 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8fa40108190b13dc827a9951601 completed May 3, 2026, 9:07 p.m.
NEDg Description generation batch_69f7b9da1f848190a0c7e8d8a2b0954d completed May 3, 2026, 9:10 p.m.
NED2 Entity disambiguation (via description) batch_69f7bbf713ac81908d9447100901c41f completed May 3, 2026, 9:19 p.m.
Created at: April 9, 2026, 10:13 p.m.