Triple

T17811756
Position Surface form Disambiguated ID Type / Status
Subject Tambov Oblast E444723 entity
Predicate hasCity P316 FINISHED
Object Kotovsk
Kotovsk is a small industrial city in central Russia, located within Tambov Oblast.
E1290069 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: Kotovsk | Statement: [Tambov Oblast, hasCity, Kotovsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotovsk
Context triple: [Tambov Oblast, hasCity, Kotovsk]
  • A. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • B. Lestkov
    Lestkov is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
  • C. Kotelva
    Kotelva is a small urban settlement in central Ukraine known for its historical roots and location within the Poltava region.
  • D. Maloyaroslavets
    Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
  • E. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern 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: Kotovsk
Triple: [Tambov Oblast, hasCity, Kotovsk]
Generated description
Kotovsk is a small industrial city in central Russia, located within Tambov Oblast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kotovsk
Target entity description: Kotovsk is a small industrial city in central Russia, located within Tambov Oblast.
  • A. Krasnov
    Krasnov is a Russian surname borne by various notable figures in military, political, and cultural history.
  • B. Lestkov
    Lestkov is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
  • C. Kotelva
    Kotelva is a small urban settlement in central Ukraine known for its historical roots and location within the Poltava region.
  • D. Maloyaroslavets
    Maloyaroslavets is a historic town in western Russia known for the 1812 Battle of Maloyaroslavets during Napoleon’s invasion.
  • E. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern 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_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.