Triple

T6670980
Position Surface form Disambiguated ID Type / Status
Subject Udmurtia E151727 entity
Predicate hasCity P316 FINISHED
Object Glazov
Glazov is a city in the Udmurt Republic of Russia, known as an industrial and cultural center in the region.
E610308 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: Glazov | Statement: [Udmurtia, hasCity, Glazov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glazov
Context triple: [Udmurtia, hasCity, Glazov]
  • A. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • B. Zvenigorod
    Zvenigorod is a historic town near Moscow, Russia, known for its ancient monasteries, traditional Russian architecture, and role as a cultural and spiritual center.
  • C. Ivangorod
    Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
  • D. Balashov
    Balashov is a town in southwestern Russia that serves as an important local administrative and transportation center within Saratov Oblast.
  • E. Kovrov
    Kovrov is an industrial city in western Russia known for its machine-building and arms manufacturing industries.
  • 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: Glazov
Triple: [Udmurtia, hasCity, Glazov]
Generated description
Glazov is a city in the Udmurt Republic of Russia, known as an industrial and cultural center in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Glazov
Target entity description: Glazov is a city in the Udmurt Republic of Russia, known as an industrial and cultural center in the region.
  • A. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • B. Zvenigorod
    Zvenigorod is a historic town near Moscow, Russia, known for its ancient monasteries, traditional Russian architecture, and role as a cultural and spiritual center.
  • C. Ivangorod
    Ivangorod is a Russian border town on the Narva River, known for its medieval fortress facing the Estonian city of Narva.
  • D. Balashov
    Balashov is a town in southwestern Russia that serves as an important local administrative and transportation center within Saratov Oblast.
  • E. Kovrov
    Kovrov is an industrial city in western Russia known for its machine-building and arms manufacturing industries.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0c9163c8190ad959172a8458619 completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef12fcfc819086b37dc9b9929663 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a498cc8190a0494082b91b012d completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f136ac648190b94a7cda43139fd0 completed March 27, 2026, 9:05 p.m.
Created at: March 27, 2026, 2:03 p.m.