Triple

T5961908
Position Surface form Disambiguated ID Type / Status
Subject Mari El E132656 entity
Predicate hasCity P316 FINISHED
Object Volzhsk
Volzhsk is an industrial city in the Republic of Mari El, Russia, located on the Volga River and known for its manufacturing and river transport significance.
 E602814 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: Volzhsk | Statement: [Mari El, hasCity, Volzhsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Volzhsk
Context triple: [Mari El, hasCity, Volzhsk]
  • A. Volzhsky
    Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
  • B. Tikhvin
    Tikhvin is a historic town in northwestern Russia known for its ancient monastery, religious icons, and role as a regional cultural and industrial center.
  • C. Zhigulevsk
    Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
  • D. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • E. Vsevolozhsk
    Vsevolozhsk is a town in northwestern Russia that serves as an important suburban and administrative center near Saint Petersburg.
  • 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: Volzhsk
Triple: [Mari El, hasCity, Volzhsk]
Generated description
Volzhsk is an industrial city in the Republic of Mari El, Russia, located on the Volga River and known for its manufacturing and river transport significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Volzhsk
Target entity description: Volzhsk is an industrial city in the Republic of Mari El, Russia, located on the Volga River and known for its manufacturing and river transport significance.
  • A. Volzhsky
    Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
  • B. Tikhvin
    Tikhvin is a historic town in northwestern Russia known for its ancient monastery, religious icons, and role as a regional cultural and industrial center.
  • C. Zhigulevsk
    Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
  • D. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • E. Vsevolozhsk
    Vsevolozhsk is a town in northwestern Russia that serves as an important suburban and administrative center near Saint Petersburg.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039ff421c819085fc92f0b707d31b completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cae2c7f4819096354202532ae488 completed March 27, 2026, 6:22 p.m.
NEDg Description generation batch_69c6cfcdb0c881909a1e36c863dbe813 completed March 27, 2026, 6:43 p.m.
NED2 Entity disambiguation (via description) batch_69c6d2879870819087a38ba8c5f61fe8 completed March 27, 2026, 6:55 p.m.
Created at: March 22, 2026, 4:02 p.m.