Triple

T2775064
Position Surface form Disambiguated ID Type / Status
Subject Samara Oblast E61547 entity
Predicate hasCity P316 FINISHED
Object 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.
 E412044 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: Zhigulevsk | Statement: [Samara Oblast, hasCity, Zhigulevsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhigulevsk
Context triple: [Samara Oblast, hasCity, Zhigulevsk]
  • A. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • 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. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • D. Kastornoye
    Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
  • E. Chapaevsk
    Chapaevsk is an industrial city in southwestern Russia known for its chemical industry and location within Samara Oblast along the Volga River region.
  • 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: Zhigulevsk
Triple: [Samara Oblast, hasCity, Zhigulevsk]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhigulevsk
Target entity description: 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.
  • A. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • 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. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • D. Kastornoye
    Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
  • E. Chapaevsk
    Chapaevsk is an industrial city in southwestern Russia known for its chemical industry and location within Samara Oblast along the Volga River region.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd7f9570819087f1b1cb59d68586 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b56b217af0819084d8aed695b8377b completed March 14, 2026, 2:05 p.m.
NEDg Description generation batch_69b56bdcfa94819096df212e6e99937e completed March 14, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_69b56c5e73e88190896176180a9e58cd completed March 14, 2026, 2:10 p.m.
Created at: March 6, 2026, 9:57 p.m.