Triple

T7852114
Position Surface form Disambiguated ID Type / Status
Subject Narew River E182079 entity
Predicate hasNameInLanguage P15 FINISHED
Object Нарев (Russian)
Нарев — это река в Восточной Европе, протекающая по территории Польши и являющаяся правым притоком Вислы.
 E698726 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: Нарев (Russian) | Statement: [Narew River, hasNameInLanguage, Нарев (Russian)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Нарев (Russian)
Context triple: [Narew River, hasNameInLanguage, Нарев (Russian)]
  • A. Ershevka
    Ershevka is a rural locality in Kaluga Oblast, Russia.
  • B. Russin
    Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
  • C. Spassk-Ryazansky
    Spassk-Ryazansky is a historic town in central Russia known as one of the older urban settlements of Ryazan Oblast.
  • D. Ropsha
    Ropsha is a historic estate and village near Saint Petersburg, Russia, known as the site of Emperor Peter III’s mysterious death in 1762.
  • E. Russi
    Russi is a small historic town and municipality in the Emilia-Romagna region of northern Italy, known for its Roman archaeological remains and agricultural surroundings.
  • 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: Нарев (Russian)
Triple: [Narew River, hasNameInLanguage, Нарев (Russian)]
Generated description
Нарев — это река в Восточной Европе, протекающая по территории Польши и являющаяся правым притоком Вислы.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Нарев (Russian)
Target entity description: Нарев — это река в Восточной Европе, протекающая по территории Польши и являющаяся правым притоком Вислы.
  • A. Ershevka
    Ershevka is a rural locality in Kaluga Oblast, Russia.
  • B. Russin
    Russin is a small wine-producing municipality and village located in the canton of Geneva in southwestern Switzerland.
  • C. Spassk-Ryazansky
    Spassk-Ryazansky is a historic town in central Russia known as one of the older urban settlements of Ryazan Oblast.
  • D. Ropsha
    Ropsha is a historic estate and village near Saint Petersburg, Russia, known as the site of Emperor Peter III’s mysterious death in 1762.
  • E. Russi
    Russi is a small historic town and municipality in the Emilia-Romagna region of northern Italy, known for its Roman archaeological remains and agricultural surroundings.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ec48548190960bd564a60effa8 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b161a4881909641f3a29c1650b4 completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb5f1c9ef08190b1b79482f39966c7 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb766e41fc8190a08f07d04774053a completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:51 p.m.