Triple

T16814958
Position Surface form Disambiguated ID Type / Status
Subject Sergei Gerasimov E408718 entity
Predicate notableWork P4 FINISHED
Object Komsomolsk E114905 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: Komsomolsk | Statement: [Sergei Gerasimov, notableWork, Komsomolsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Komsomolsk
Context triple: [Sergei Gerasimov, notableWork, Komsomolsk]
  • A. Komsomolskaya
    Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
  • B. Novonikolaevsk
    Novonikolaevsk was a major early 20th-century city in Siberia—now known as Novosibirsk—that served as an important administrative and military center during the Russian Civil War.
  • C. Sestroretsk
    Sestroretsk is a town in northwestern Russia, now part of Saint Petersburg, historically known for its arms factory and seaside resort area on the Gulf of Finland.
  • D. Alexeyevsk
    Alexeyevsk is the former name of the Russian town now known as Belogorsk, located in Amur Oblast in the Russian Far East.
  • E. Komsomolsk-on-Amur chosen
    Komsomolsk-on-Amur is a major industrial city in Russia’s Khabarovsk Krai, known for its shipbuilding and aircraft manufacturing industries in the Russian Far East.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e0e05081908bd5eaa64abe133d completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d45013048190a8073f34820ca85a completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:23 a.m.