Triple

T2775039
Position Surface form Disambiguated ID Type / Status
Subject Samara Oblast E61547 entity
Predicate hasMajorCity P316 FINISHED
Object Syzran
Syzran is a historic industrial city on the Volga River in western Russia, known for its oil refining, engineering industries, and regional transport significance.
 E316657 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: Syzran | Statement: [Samara Oblast, hasMajorCity, Syzran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Syzran
Context triple: [Samara Oblast, hasMajorCity, Syzran]
  • A. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • B. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • C. 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.
  • D. Volzhsky
    Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
  • E. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • 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: Syzran
Triple: [Samara Oblast, hasMajorCity, Syzran]
Generated description
Syzran is a historic industrial city on the Volga River in western Russia, known for its oil refining, engineering industries, and regional transport significance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Syzran
Target entity description: Syzran is a historic industrial city on the Volga River in western Russia, known for its oil refining, engineering industries, and regional transport significance.
  • A. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • B. Otradnoye
    Otradnoye is a Moscow Metro station on the Serpukhovsko–Timiryazevskaya Line serving the Otradnoye District in northern Moscow.
  • C. 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.
  • D. Volzhsky
    Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
  • E. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • 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_69b108c5319481909d3e1a237c3f661e completed March 11, 2026, 6:16 a.m.
NEDg Description generation batch_69b10d0e1b80819088ebfb828991dd15 completed March 11, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_69b10d888900819086fbefe5807afb3e completed March 11, 2026, 6:36 a.m.
Created at: March 6, 2026, 9:57 p.m.