Triple

T2886636
Position Surface form Disambiguated ID Type / Status
Subject Yenisei River E59520 entity
Predicate majorCityOnRiver P316 FINISHED
Object Divnogorsk
Divnogorsk is a small Siberian town in Krasnoyarsk Krai, Russia, known for its location in the Yenisei River valley and its association with the Krasnoyarsk hydroelectric power station.
 E318919 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: Divnogorsk | Statement: [Yenisei River, majorCityOnRiver, Divnogorsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Divnogorsk
Context triple: [Yenisei River, majorCityOnRiver, Divnogorsk]
  • A. Krasnogorsk
    Krasnogorsk is a city in western Russia that serves as an important administrative and residential center just outside Moscow.
  • B. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • C. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • D. Shakhovskoye
    Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
  • E. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • 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: Divnogorsk
Triple: [Yenisei River, majorCityOnRiver, Divnogorsk]
Generated description
Divnogorsk is a small Siberian town in Krasnoyarsk Krai, Russia, known for its location in the Yenisei River valley and its association with the Krasnoyarsk hydroelectric power station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Divnogorsk
Target entity description: Divnogorsk is a small Siberian town in Krasnoyarsk Krai, Russia, known for its location in the Yenisei River valley and its association with the Krasnoyarsk hydroelectric power station.
  • A. Krasnogorsk
    Krasnogorsk is a city in western Russia that serves as an important administrative and residential center just outside Moscow.
  • B. Skovorodino
    Skovorodino is a small town in Russia’s Far Eastern Amur Oblast, known historically as a railway junction on the Trans-Siberian Railway.
  • C. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • D. Shakhovskoye
    Shakhovskoye is a rural locality in Russia known primarily as the birthplace of Soviet politician Mikhail Suslov.
  • E. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • 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_69ab4ac739188190a112f42a5a69c951 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abe0463ccc8190bf08330f40d0cfdc completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12e0c57b481908726496e6c2fc395 completed March 11, 2026, 8:55 a.m.
NEDg Description generation batch_69b138e5b1b0819088ce1fb3647f472b completed March 11, 2026, 9:41 a.m.
NED2 Entity disambiguation (via description) batch_69b1caf968148190b01be959b7e7679f completed March 11, 2026, 8:05 p.m.
Created at: March 6, 2026, 10:03 p.m.