Triple

T12640460
Position Surface form Disambiguated ID Type / Status
Subject Kalyazinsky Uyezd E301880 entity
Predicate capital P234 FINISHED
Object Kalyazin
Kalyazin is a historic town in Tver Oblast, Russia, known for its partially submerged bell tower in the Uglich Reservoir.
E1028596 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: Kalyazin | Statement: [Kalyazinsky Uyezd, capital, Kalyazin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalyazin
Context triple: [Kalyazinsky Uyezd, capital, Kalyazin]
  • A. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • B. Pervouralsk
    Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
  • C. Mtsensk
    Mtsensk is a historic town in western Russia known for its literary associations and role as a local industrial and cultural center.
  • D. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • E. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • 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: Kalyazin
Triple: [Kalyazinsky Uyezd, capital, Kalyazin]
Generated description
Kalyazin is a historic town in Tver Oblast, Russia, known for its partially submerged bell tower in the Uglich Reservoir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kalyazin
Target entity description: Kalyazin is a historic town in Tver Oblast, Russia, known for its partially submerged bell tower in the Uglich Reservoir.
  • A. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • B. Pervouralsk
    Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
  • C. Mtsensk
    Mtsensk is a historic town in western Russia known for its literary associations and role as a local industrial and cultural center.
  • D. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • E. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614ae6ac8190b42acbf2b0331fda completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6fef8d94081908ea5ac426e22ef87 completed May 3, 2026, 7:53 a.m.
NEDg Description generation batch_69f702a8a24c819083d9931547d27497 completed May 3, 2026, 8:09 a.m.
NED2 Entity disambiguation (via description) batch_69f7038563848190ae96538e30ecafd5 completed May 3, 2026, 8:12 a.m.
Created at: April 9, 2026, 5:16 p.m.