Triple

T2331528
Position Surface form Disambiguated ID Type / Status
Subject Komsomolskaya E44212 entity
Predicate hasNameInRussian P20560 FINISHED
Object Комсомольская E44212 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: Комсомольская | Statement: [Komsomolskaya, hasNameInRussian, Комсомольская]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Комсомольская
Context triple: [Komsomolskaya, hasNameInRussian, Комсомольская]
  • A. Komsomolskaya chosen
    Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
  • B. Komsomol
    Komsomol was the Soviet Union’s official communist youth organization, responsible for politically educating and mobilizing young people under the guidance of the Communist Party.
  • C. Novatorskaya
    Novatorskaya is a metro station on Moscow’s Big Circle Line serving the southwestern part of the city.
  • D. Sovkino
    Sovkino was a Soviet state film production and distribution company active in the 1920s, instrumental in developing early Soviet cinema and promoting revolutionary propaganda films.
  • E. Novoslobodskaya
    Novoslobodskaya is a Moscow Metro station famed for its distinctive stained-glass panels and ornate, cathedral-like interior design.
  • 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc669956881908b8d9784d6a06acf completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae89773c88819087a294d7c0f90f73 completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:51 p.m.