Triple

T19936766
Position Surface form Disambiguated ID Type / Status
Subject Valerii Zaluzhnyi E479193 entity
Predicate education P5 FINISHED
Object Odessa Institute of Ground Forces — 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: Odessa Institute of Ground Forces | Statement: [Valerii Zaluzhnyi, education, Odessa Institute of Ground Forces]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Odessa Institute of Ground Forces
Context triple: [Valerii Zaluzhnyi, education, Odessa Institute of Ground Forces]
  • A. Dzerzhinsky Artillery Academy
    Dzerzhinsky Artillery Academy was a premier Soviet military higher-education institution specializing in the advanced training of artillery and missile officers.
  • B. Malinovsky Armored Forces Academy
    Malinovsky Armored Forces Academy was a premier Soviet higher military educational institution specializing in the training of officers and commanders for armored and mechanized forces.
  • C. Voroshilov General Staff Academy
    The Voroshilov General Staff Academy was the Soviet Union’s premier higher military education institution, responsible for preparing senior officers for high-level command and staff positions.
  • D. Nikolayev Military Engineering Institute
    Nikolayev Military Engineering Institute was a 19th-century Russian military engineering academy where notable figures such as Fyodor Dostoevsky received their technical and officer training.
  • E. Kiev Infantry Junker School
    The Kiev Infantry Junker School was a military academy in the Russian Empire that trained officer cadets for service in the Imperial Russian Army.
  • 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: Odessa Institute of Ground Forces
Target entity description: The Odessa Institute of Ground Forces is a Ukrainian military educational institution specializing in the training of officers and specialists for the country’s land forces.
  • A. Dzerzhinsky Artillery Academy
    Dzerzhinsky Artillery Academy was a premier Soviet military higher-education institution specializing in the advanced training of artillery and missile officers.
  • B. Malinovsky Armored Forces Academy
    Malinovsky Armored Forces Academy was a premier Soviet higher military educational institution specializing in the training of officers and commanders for armored and mechanized forces.
  • C. Voroshilov General Staff Academy
    The Voroshilov General Staff Academy was the Soviet Union’s premier higher military education institution, responsible for preparing senior officers for high-level command and staff positions.
  • D. Nikolayev Military Engineering Institute
    Nikolayev Military Engineering Institute was a 19th-century Russian military engineering academy where notable figures such as Fyodor Dostoevsky received their technical and officer training.
  • E. Kiev Infantry Junker School
    The Kiev Infantry Junker School was a military academy in the Russian Empire that trained officer cadets for service in the Imperial Russian Army.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a17fb2c8190b3aaae88e741648a completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.