Triple

T4194925
Position Surface form Disambiguated ID Type / Status
Subject Sura River E89123 entity
Predicate hasCityOnBank P7935 FINISHED
Object Kuznetsk
Kuznetsk is a city in Penza Oblast, Russia, known as an industrial and transport center in the Volga region.
 E526428 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: Kuznetsk | Statement: [Sura River, hasCityOnBank, Kuznetsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuznetsk
Context triple: [Sura River, hasCityOnBank, Kuznetsk]
  • A. Novokuznetskaya
    Novokuznetskaya is a Moscow Metro station known for its distinctive Stalinist architecture and richly decorated interiors.
  • B. Kemerovo
    Kemerovo is an industrial city in southwestern Siberia, Russia, known as a center of the Kuzbass coal mining region.
  • C. Nizhny Tagil
    Nizhny Tagil is a major industrial city in Russia’s Sverdlovsk Oblast, historically known for its metallurgical plants and role in the country’s heavy industry.
  • D. Nizhnekamsk
    Nizhnekamsk is a major industrial city in Russia known for its large petrochemical and oil refining complexes.
  • E. Omsk
    Omsk is one of the largest cities in southwestern Siberia, Russia, serving as a major industrial, cultural, and transportation hub on the Irtysh River.
  • 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: Kuznetsk
Triple: [Sura River, hasCityOnBank, Kuznetsk]
Generated description
Kuznetsk is a city in Penza Oblast, Russia, known as an industrial and transport center in the Volga region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kuznetsk
Target entity description: Kuznetsk is a city in Penza Oblast, Russia, known as an industrial and transport center in the Volga region.
  • A. Novokuznetskaya
    Novokuznetskaya is a Moscow Metro station known for its distinctive Stalinist architecture and richly decorated interiors.
  • B. Kemerovo
    Kemerovo is an industrial city in southwestern Siberia, Russia, known as a center of the Kuzbass coal mining region.
  • C. Nizhny Tagil
    Nizhny Tagil is a major industrial city in Russia’s Sverdlovsk Oblast, historically known for its metallurgical plants and role in the country’s heavy industry.
  • D. Nizhnekamsk
    Nizhnekamsk is a major industrial city in Russia known for its large petrochemical and oil refining complexes.
  • E. Omsk
    Omsk is one of the largest cities in southwestern Siberia, Russia, serving as a major industrial, cultural, and transportation hub on the Irtysh River.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af034406348190a56c21b5c08a6828 completed March 9, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfbd56f4c081909ebc19bfc91aa5d2 completed March 22, 2026, 9:58 a.m.
NEDg Description generation batch_69bfbdcab6d88190aa24838b20743e6e completed March 22, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_69bfbe735874819083abb628f3d169b9 completed March 22, 2026, 10:03 a.m.
Created at: March 9, 2026, 3:46 p.m.