Triple

T4194922
Position Surface form Disambiguated ID Type / Status
Subject Sura River E89123 entity
Predicate hasCityOnBank P7935 FINISHED
Object Saransk
Saransk is the capital city of the Republic of Mordovia in western Russia, known as an administrative, cultural, and industrial center of the region.
 E420350 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: Saransk | Statement: [Sura River, hasCityOnBank, Saransk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saransk
Context triple: [Sura River, hasCityOnBank, Saransk]
  • A. Kholm
    Kholm is a historic town in eastern Poland, known today as Chełm, with medieval roots and significance in the history of the Kingdom of Galicia–Volhynia.
  • B. Sosnovy Bor
    Sosnovy Bor is a Russian coastal town on the Gulf of Finland known for its large nuclear power plant and role as an energy and industrial center.
  • C. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • D. Uglich
    Uglich is a historic Russian town on the Volga River, known for its medieval architecture and its association with the mysterious death of Tsarevich Dmitry in 1591.
  • E. 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.
  • 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: Saransk
Triple: [Sura River, hasCityOnBank, Saransk]
Generated description
Saransk is the capital city of the Republic of Mordovia in western Russia, known as an administrative, cultural, and industrial center of the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saransk
Target entity description: Saransk is the capital city of the Republic of Mordovia in western Russia, known as an administrative, cultural, and industrial center of the region.
  • A. Kholm
    Kholm is a historic town in eastern Poland, known today as Chełm, with medieval roots and significance in the history of the Kingdom of Galicia–Volhynia.
  • B. Sosnovy Bor
    Sosnovy Bor is a Russian coastal town on the Gulf of Finland known for its large nuclear power plant and role as an energy and industrial center.
  • C. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • D. Uglich
    Uglich is a historic Russian town on the Volga River, known for its medieval architecture and its association with the mysterious death of Tsarevich Dmitry in 1591.
  • E. 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.
  • 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_69b58a0d7fa88190a2c830e298542068 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58a9497b88190a46afd8b1996fed9 completed March 14, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69b58b26e4208190b4ec30a3b635194b completed March 14, 2026, 4:21 p.m.
Created at: March 9, 2026, 3:46 p.m.