Triple

T21347172
Position Surface form Disambiguated ID Type / Status
Subject Izhevsk E526368 entity
Predicate hasHigherEducationInstitution P113 FINISHED
Object Izhevsk State Medical Academy — NE NERFINISHED

How this triple was built (3 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: Izhevsk State Medical Academy | Statement: [Izhevsk, hasHigherEducationInstitution, Izhevsk State Medical Academy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Izhevsk State Medical Academy
Context triple: [Izhevsk, hasHigherEducationInstitution, Izhevsk State Medical Academy]
  • A. Nizhny Novgorod State Medical Academy
    Nizhny Novgorod State Medical Academy is a major Russian medical university known for training healthcare professionals and conducting medical research in the city of Nizhny Novgorod.
  • B. Kursk State Medical University
    Kursk State Medical University is a major Russian medical university known for training healthcare professionals and offering a wide range of medical and pharmaceutical programs, including for international students.
  • C. Orenburg State Medical University
    Orenburg State Medical University is a Russian higher education institution specializing in medical and healthcare training and research.
  • D. Kazan State Medical University
    Kazan State Medical University is a major Russian medical higher education institution located in Kazan, known for training physicians and medical specialists and conducting biomedical research.
  • E. Stavropol State Medical University
    Stavropol State Medical University is a major Russian medical university known for training healthcare professionals and conducting medical research in the city of Stavropol.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Izhevsk State Medical Academy
Target entity description: Izhevsk State Medical Academy is a Russian medical university in Izhevsk that trains healthcare professionals and conducts medical research and education.
  • A. Nizhny Novgorod State Medical Academy
    Nizhny Novgorod State Medical Academy is a major Russian medical university known for training healthcare professionals and conducting medical research in the city of Nizhny Novgorod.
  • B. Kursk State Medical University
    Kursk State Medical University is a major Russian medical university known for training healthcare professionals and offering a wide range of medical and pharmaceutical programs, including for international students.
  • C. Orenburg State Medical University
    Orenburg State Medical University is a Russian higher education institution specializing in medical and healthcare training and research.
  • D. Kazan State Medical University
    Kazan State Medical University is a major Russian medical higher education institution located in Kazan, known for training physicians and medical specialists and conducting biomedical research.
  • E. Stavropol State Medical University
    Stavropol State Medical University is a major Russian medical university known for training healthcare professionals and conducting medical research in the city of Stavropol.
  • F. None of above. chosen

Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5ba8f1c8819089c5d753876b44d5 completed April 26, 2026, 6:38 p.m.
Created at: April 16, 2026, 4:56 p.m.