Triple

T17811757
Position Surface form Disambiguated ID Type / Status
Subject Tambov Oblast E444723 entity
Predicate hasTown P847 FINISHED
Object Kirsanov
Kirsanov is a small Russian town in Tambov Oblast known for its agricultural surroundings and role as a local administrative and transport center.
 E1290070 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: Kirsanov | Statement: [Tambov Oblast, hasTown, Kirsanov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kirsanov
Context triple: [Tambov Oblast, hasTown, Kirsanov]
  • A. Ryazanov
    Ryazanov is a Russian surname most notably borne by Eldar Ryazanov, a celebrated Soviet and Russian film director and screenwriter.
  • B. Chernyakhovsky
    Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
  • C. Kalininsk
    Kalininsk is a small town in southwestern Russia known for its agricultural surroundings and location within Saratov Oblast on the Volga River region.
  • D. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • E. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • 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: Kirsanov
Triple: [Tambov Oblast, hasTown, Kirsanov]
Generated description
Kirsanov is a small Russian town in Tambov Oblast known for its agricultural surroundings and role as a local administrative and transport center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kirsanov
Target entity description: Kirsanov is a small Russian town in Tambov Oblast known for its agricultural surroundings and role as a local administrative and transport center.
  • A. Ryazanov
    Ryazanov is a Russian surname most notably borne by Eldar Ryazanov, a celebrated Soviet and Russian film director and screenwriter.
  • B. Chernyakhovsky
    Chernyakhovsky is a Slavic surname most notably associated with Soviet General Ivan Chernyakhovsky, a prominent commander during World War II.
  • C. Kalininsk
    Kalininsk is a small town in southwestern Russia known for its agricultural surroundings and location within Saratov Oblast on the Volga River region.
  • D. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • E. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887b5e50819098506f0b92d709b5 completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff608640819093b5f1b31a254a83 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03038f7e54819090b85bed9044efd2 completed May 12, 2026, 10:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0303fe44308190b6cca9a119c969d9 completed May 12, 2026, 10:42 a.m.
Created at: April 10, 2026, 10:14 a.m.