Triple

T6843545
Position Surface form Disambiguated ID Type / Status
Subject Klyazma River E157834 entity
Predicate RussianName P744 FINISHED
Object Клязьма
Клязьма — река в центральной части европейской России, левый приток Оки, протекающая через Владимирскую и Московскую области.
 E622801 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: Клязьма | Statement: [Klyazma River, RussianName, Клязьма]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Клязьма
Context triple: [Klyazma River, RussianName, Клязьма]
  • A. Maryina Roshcha
    Maryina Roshcha is a Moscow Metro station on the Big Circle Line serving the Maryina Roshcha district in Russia’s capital.
  • B. Vishkanya
    Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
  • C. Krakolye
    Krakolye is a historic village in northwestern Russia known as one of the traditional settlement areas of the Votic people and their endangered Uralic language.
  • D. Skotina
    Skotina is a village in the Pieria regional unit of Central Macedonia, Greece, known for its proximity to Mount Olympus and the Aegean coast.
  • E. Blackwater
    Blackwater is a small town in the Hart district of Hampshire, England, situated on the border with Surrey and forming part of the wider Blackwater Valley conurbation.
  • 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: Клязьма
Triple: [Klyazma River, RussianName, Клязьма]
Generated description
Клязьма — река в центральной части европейской России, левый приток Оки, протекающая через Владимирскую и Московскую области.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Клязьма
Target entity description: Клязьма — река в центральной части европейской России, левый приток Оки, протекающая через Владимирскую и Московскую области.
  • A. Maryina Roshcha
    Maryina Roshcha is a Moscow Metro station on the Big Circle Line serving the Maryina Roshcha district in Russia’s capital.
  • B. Vishkanya
    Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
  • C. Krakolye
    Krakolye is a historic village in northwestern Russia known as one of the traditional settlement areas of the Votic people and their endangered Uralic language.
  • D. Skotina
    Skotina is a village in the Pieria regional unit of Central Macedonia, Greece, known for its proximity to Mount Olympus and the Aegean coast.
  • E. Blackwater
    Blackwater is a small town in the Hart district of Hampshire, England, situated on the border with Surrey and forming part of the wider Blackwater Valley conurbation.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b7179481909e3482fef47b2719 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fbf06008190a8c342d3d7dec930 completed March 28, 2026, 1:32 a.m.
NEDg Description generation batch_69c7308d90308190ad38a09a6de0f6df completed March 28, 2026, 1:36 a.m.
NED2 Entity disambiguation (via description) batch_69c7311de3cc8190b146ed4fd2b5274a completed March 28, 2026, 1:38 a.m.
Created at: March 27, 2026, 2:19 p.m.