Triple

T4891679
Position Surface form Disambiguated ID Type / Status
Subject Ruza River E109576 entity
Predicate hasNameInLanguage P15 FINISHED
Object Руза
Руза — это река в Московской области России, являющаяся притоком реки Москвы и давшая название городу Руза.
 E476871 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: Руза | Statement: [Ruza River, hasNameInLanguage, Руза]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Руза
Context triple: [Ruza River, hasNameInLanguage, Руза]
  • A. Malyovitsa
    Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
  • B. Tulskaya
    Tulskaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Tulskaya Square area in southern Moscow.
  • C. Dzvina
    Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
  • D. Razdolnaya River
    The Razdolnaya River is a transboundary river in Northeast Asia that flows from northeastern China into Russia’s Primorsky Krai before emptying into the Sea of Japan.
  • E. Gudalovka
    Gudalovka is a rural locality in Russia notable as the birthplace of Marxist theorist Georgi Plekhanov.
  • 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: Руза
Triple: [Ruza River, hasNameInLanguage, Руза]
Generated description
Руза — это река в Московской области России, являющаяся притоком реки Москвы и давшая название городу Руза.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Руза
Target entity description: Руза — это река в Московской области России, являющаяся притоком реки Москвы и давшая название городу Руза.
  • A. Malyovitsa
    Malyovitsa is a prominent peak in Bulgaria renowned for its rugged alpine scenery and popularity among climbers and hikers.
  • B. Tulskaya
    Tulskaya is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Tulskaya Square area in southern Moscow.
  • C. Dzvina
    Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
  • D. Razdolnaya River
    The Razdolnaya River is a transboundary river in Northeast Asia that flows from northeastern China into Russia’s Primorsky Krai before emptying into the Sea of Japan.
  • E. Gudalovka
    Gudalovka is a rural locality in Russia notable as the birthplace of Marxist theorist Georgi Plekhanov.
  • 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_69bd440f71348190b99938e59fb7f9a1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e2444dc819088d5562e90d16d9b completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be681a3d7881908120dc642af3f58a completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6892c02481908dc64c7e84aac3b2 completed March 21, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69be695231148190b822bd2e8febd7e8 completed March 21, 2026, 9:48 a.m.
Created at: March 20, 2026, 1:28 p.m.