Triple

T8844286
Position Surface form Disambiguated ID Type / Status
Subject Kemerovo E210464 entity
Predicate historicalPredecessor P97 FINISHED
Object Shcheglovsk
Shcheglovsk was the former name of the Siberian industrial city now known as Kemerovo in Russia.
E760250 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: Shcheglovsk | Statement: [Kemerovo, historicalPredecessor, Shcheglovsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shcheglovsk
Context triple: [Kemerovo, historicalPredecessor, Shcheglovsk]
  • A. Yukhnov
    Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
  • B. Shuisky
    Shuisky is a scheming boyar and political intriguer in Alexander Pushkin’s historical drama and Modest Mussorgsky’s opera "Boris Godunov."
  • C. Shchyolkovo
    Shchyolkovo is a town in western Russia that serves as a residential and industrial suburb of Moscow within Moscow Oblast.
  • D. Sergiyev
    Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
  • E. Shimanovsk
    Shimanovsk is a small industrial town in Russia’s Far East, located in Amur Oblast and known historically as a railway hub on the Trans-Siberian Railway.
  • 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: Shcheglovsk
Triple: [Kemerovo, historicalPredecessor, Shcheglovsk]
Generated description
Shcheglovsk was the former name of the Siberian industrial city now known as Kemerovo in Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shcheglovsk
Target entity description: Shcheglovsk was the former name of the Siberian industrial city now known as Kemerovo in Russia.
  • A. Yukhnov
    Yukhnov is a small historic town in western Russia known for its location on the Ugra River and its role in regional trade and World War II history.
  • B. Shuisky
    Shuisky is a scheming boyar and political intriguer in Alexander Pushkin’s historical drama and Modest Mussorgsky’s opera "Boris Godunov."
  • C. Shchyolkovo
    Shchyolkovo is a town in western Russia that serves as a residential and industrial suburb of Moscow within Moscow Oblast.
  • D. Sergiyev
    Sergiyev is the former name of the Russian town now known as Sergiyev Posad, a historic center of Orthodox Christianity northeast of Moscow.
  • E. Shimanovsk
    Shimanovsk is a small industrial town in Russia’s Far East, located in Amur Oblast and known historically as a railway hub on the Trans-Siberian Railway.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc608a73c88190875409fef79ffc8a completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf89ad0a3c8190a2bcf9a106138835 completed April 3, 2026, 9:34 a.m.
NEDg Description generation batch_69cf8ac657a48190b01e3f0365105f3c completed April 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69cf8b8849ec8190915fa087b1b46c18 completed April 3, 2026, 9:42 a.m.
Created at: March 30, 2026, 6:48 p.m.