Triple

T4495372
Position Surface form Disambiguated ID Type / Status
Subject Tambov Governorate E100680 entity
Predicate majorCity P316 FINISHED
Object Kozlov
Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
 E446261 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: Kozlov | Statement: [Tambov Governorate, majorCity, Kozlov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kozlov
Context triple: [Tambov Governorate, majorCity, Kozlov]
  • A. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • B. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • C. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • D. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • E. Kuzma
    Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
  • 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: Kozlov
Triple: [Tambov Governorate, majorCity, Kozlov]
Generated description
Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kozlov
Target entity description: Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • A. Kozlov
    Kozlov is the former Russian name of the city now known as Gözleve (Eupatoria) in Crimea, reflecting its historical period under Russian influence.
  • B. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • C. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • D. Vasilevsky
    Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
  • E. Kuzma
    Kuzma is a masculine given name of Slavic origin, historically borne by notable figures such as the Russian national hero Kuzma Minin.
  • 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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56bde14c819091d42839a46291d0 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67bfb4788190b64975b1999a8d1e completed March 20, 2026, 3:29 p.m.
NEDg Description generation batch_69bd68503f1c81909742bcf0ac356e52 completed March 20, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69bd68b4681c8190abb170ccb054cd05 completed March 20, 2026, 3:33 p.m.
Created at: March 20, 2026, 1 p.m.