Triple

T9816408
Position Surface form Disambiguated ID Type / Status
Subject Oryol Oblast E238415 entity
Predicate hasTown P847 FINISHED
Object Mtsensk
Mtsensk is a historic town in western Russia known for its literary associations and role as a local industrial and cultural center.
 E847866 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: Mtsensk | Statement: [Oryol Oblast, hasTown, Mtsensk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mtsensk
Context triple: [Oryol Oblast, hasTown, Mtsensk]
  • 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. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • D. Nevyansk
    Nevyansk is a historic town in Russia’s Ural region, best known for its 18th-century Leaning Tower of Nevyansk and its role in early Russian industrial development.
  • E. Volokolamsk
    Volokolamsk is a historic town in western Russia, located northwest of Moscow and known for its medieval origins and role in regional trade and defense.
  • 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: Mtsensk
Triple: [Oryol Oblast, hasTown, Mtsensk]
Generated description
Mtsensk is a historic town in western Russia known for its literary associations and role as a local industrial and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mtsensk
Target entity description: Mtsensk is a historic town in western Russia known for its literary associations and role as a local industrial and cultural center.
  • 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. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • D. Nevyansk
    Nevyansk is a historic town in Russia’s Ural region, best known for its 18th-century Leaning Tower of Nevyansk and its role in early Russian industrial development.
  • E. Volokolamsk
    Volokolamsk is a historic town in western Russia, located northwest of Moscow and known for its medieval origins and role in regional trade and defense.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f4a1548190a5afc5ee0d7da392 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32a5921c8819085a2188805b4811c completed April 6, 2026, 3:36 a.m.
NEDg Description generation batch_69d32b4030d0819092f13e894dbaa2e7 completed April 6, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_69d32b97b5a081908c6e1a6485e37816 completed April 6, 2026, 3:42 a.m.
Created at: March 30, 2026, 8:30 p.m.