Triple

T2581748
Position Surface form Disambiguated ID Type / Status
Subject Samara River E57106 entity
Predicate hasCityOnRiver P17819 FINISHED
Object Otradny
Otradny is a town in Samara Oblast, Russia, known for its industrial activities and location within the Volga economic region.
 E285941 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: Otradny | Statement: [Samara River, hasCityOnRiver, Otradny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Otradny
Context triple: [Samara River, hasCityOnRiver, Otradny]
  • A. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • B. Khovrino
    Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
  • C. Ivanychi
    Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
  • D. Kudryavy
    Kudryavy is an active stratovolcano located on Iturup Island in Russia’s Kuril Island chain, known for its persistent fumarolic activity and gas emissions.
  • E. Taganskaya
    Taganskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, known for its ornate post-war Stalinist architecture and decorative ceramic panels.
  • 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: Otradny
Triple: [Samara River, hasCityOnRiver, Otradny]
Generated description
Otradny is a town in Samara Oblast, Russia, known for its industrial activities and location within the Volga economic region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Otradny
Target entity description: Otradny is a town in Samara Oblast, Russia, known for its industrial activities and location within the Volga economic region.
  • A. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • B. Khovrino
    Khovrino is a Moscow Metro station serving as the northern terminus of the Zamoskvoretskaya Line.
  • C. Ivanychi
    Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
  • D. Kudryavy
    Kudryavy is an active stratovolcano located on Iturup Island in Russia’s Kuril Island chain, known for its persistent fumarolic activity and gas emissions.
  • E. Taganskaya
    Taganskaya is a Moscow Metro station on the Koltsevaya (Circle) Line, known for its ornate post-war Stalinist architecture and decorative ceramic panels.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3c843bc8190837cea3441bf3ca1 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98adae948190a08ffa1eef4cb91a completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af999d0b848190afcd7b27daa024e1 completed March 10, 2026, 4:10 a.m.
NED2 Entity disambiguation (via description) batch_69af9a48b2588190addeef916b0afef2 completed March 10, 2026, 4:12 a.m.
Created at: March 6, 2026, 9:49 p.m.