Triple

T12453195
Position Surface form Disambiguated ID Type / Status
Subject Svislach River E297583 entity
Predicate nameInRussian P20560 FINISHED
Object Свислочь
Свислочь — река в Беларуси, протекающая через Минск и являющаяся одним из заметных водных объектов столицы.
 E993478 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: Свислочь | Statement: [Svislach River, nameInRussian, Свислочь]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Свислочь
Context triple: [Svislach River, nameInRussian, Свислочь]
  • A. Zhmerynka
    Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
  • B. Zvenyhorodka
    Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • C. Medveditsa
    Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
  • D. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • E. Yazhelbitsy
    Yazhelbitsy is a rural locality in Russia known for its proximity to Mount Uzhin.
  • 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: Свислочь
Triple: [Svislach River, nameInRussian, Свислочь]
Generated description
Свислочь — река в Беларуси, протекающая через Минск и являющаяся одним из заметных водных объектов столицы.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Свислочь
Target entity description: Свислочь — река в Беларуси, протекающая через Минск и являющаяся одним из заметных водных объектов столицы.
  • A. Zhmerynka
    Zhmerynka is a city in central Ukraine known as an important regional railway junction and administrative center.
  • B. Zvenyhorodka
    Zvenyhorodka is a town in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
  • C. Medveditsa
    Medveditsa is a river in southwestern Russia that flows through the Volgograd and Saratov regions before joining the Don River.
  • D. Zhukovka
    Zhukovka is a rural locality in Moscow Oblast, Russia, situated within the Odintsovsky District and known primarily as a residential settlement near Moscow.
  • E. Yazhelbitsy
    Yazhelbitsy is a rural locality in Russia known for its proximity to Mount Uzhin.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da0b5988190b9df26dd3bb87337 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ea710d481908371209cb92502a6 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f65fadc97081908376913e390cfc3d completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f660c3d914819097b57784889ca389 completed May 2, 2026, 8:38 p.m.
Created at: April 8, 2026, 9:56 p.m.