Triple

T17057394
Position Surface form Disambiguated ID Type / Status
Subject MFTI E413859 entity
Predicate alsoKnownAs P39 FINISHED
Object Moscow PhysTech E88394 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: Moscow PhysTech | Statement: [MFTI, alsoKnownAs, Moscow PhysTech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moscow PhysTech
Context triple: [MFTI, alsoKnownAs, Moscow PhysTech]
  • A. Moscow Institute of Physics and Technology (Dolgoprudny) chosen
    Moscow Institute of Physics and Technology (Dolgoprudny) is a leading Russian research university renowned for its rigorous training in physics, mathematics, and related technical disciplines.
  • B. Moscow Engineering Physics Institute
    Moscow Engineering Physics Institute is a leading Russian technical university specializing in nuclear physics, engineering, and related applied sciences.
  • C. Moscow State Technological University STANKIN
    Moscow State Technological University STANKIN is a prominent Russian technical university in Moscow specializing in engineering and industrial technologies.
  • D. Imperial Physical-Technical Institute
    The Imperial Physical-Technical Institute was the German national metrology and standards laboratory, renowned for its pioneering research in precision measurement and fundamental physics.
  • E. Moscow Power Engineering Institute
    Moscow Power Engineering Institute is a major Russian technical university specializing in power engineering, electrical engineering, and related fields of energy and electronics.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3db7a96288190bd985f79c3f55623 completed April 18, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139f346f0819094a430a11e361bac completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:34 a.m.