Triple

T3577245
Position Surface form Disambiguated ID Type / Status
Subject Kazan University E75716 entity
Predicate governingBody P46 FINISHED
Object Ministry of Science and Higher Education of the Russian Federation E206119 NE FINISHED

How this triple was built (2 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: Ministry of Science and Higher Education of the Russian Federation | Statement: [Kazan University, governingBody, Ministry of Science and Higher Education of the Russian Federation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ministry of Science and Higher Education of the Russian Federation
Context triple: [Kazan University, governingBody, Ministry of Science and Higher Education of the Russian Federation]
  • A. Ministry of Science and Higher Education of the Russian Federation chosen
    The Ministry of Science and Higher Education of the Russian Federation is the federal government body responsible for developing and implementing state policy and regulation in the fields of scientific research and higher education across Russia.
  • B. Polish Ministry of Science and Higher Education
    The Polish Ministry of Science and Higher Education is a government body responsible for shaping and overseeing national policy in scientific research and higher education institutions in Poland.
  • C. Ural Federal University
    Ural Federal University is one of Russia’s largest and leading public research universities, located in Yekaterinburg and known for its strong engineering, technical, and applied science programs.
  • D. Novosibirsk State University
    Novosibirsk State University is a leading Russian research university in Novosibirsk, renowned for its strong programs in mathematics, physics, and computer science and its close ties to the Siberian Branch of the Russian Academy of Sciences.
  • E. Kazan National Research Technical University
    Kazan National Research Technical University is a major Russian technical university in Kazan known for its engineering and aerospace education and research.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0dd3e048190a0c6666e13ead9cd completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbc3d4e88190b18ed318c55594cc completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.