Triple

T16553975
Position Surface form Disambiguated ID Type / Status
Subject VKhUTEMAS E402143 entity
Predicate followedBy P78 FINISHED
Object VKhUTEIN E534645 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: VKhUTEIN | Statement: [VKhUTEMAS, followedBy, VKhUTEIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VKhUTEIN
Context triple: [VKhUTEMAS, followedBy, VKhUTEIN]
  • A. Vkhutemas chosen
    Vkhutemas was a pioneering Soviet state art and technical school in Moscow, often compared to the Bauhaus for its influential role in avant-garde design, architecture, and industrial art in the 1920s.
  • B. Politekhnicheskaya
    Politekhnicheskaya is a Saint Petersburg Metro station serving the Vyborgsky District in the northern part of the city.
  • C. VKSU
    VKSU is a public university located in Ara, Bihar, India, offering undergraduate and postgraduate programs across various disciplines.
  • D. Novocherkassk Polytechnic Institute
    Novocherkassk Polytechnic Institute is a higher education technical university in Novocherkassk, Russia, specializing in engineering and applied sciences.
  • E. Imperial Moscow Technical School
    Imperial Moscow Technical School was a prominent pre-revolutionary Russian engineering institute in Moscow that trained many leading scientists and engineers, including aviation pioneer Andrei Tupolev.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fc737ac8190b755e2a39b6ef32b completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067ba4bec81909dfa87bcd2bfa7be completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.