Triple

T20159046
Position Surface form Disambiguated ID Type / Status
Subject Leningrad sector E491654 entity
Predicate includes P1393 FINISHED
Object city of Leningrad NE NERFINISHED

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: city of Leningrad | Statement: [Leningrad sector, includes, city of Leningrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Leningrad
Context triple: [Leningrad sector, includes, city of Leningrad]
  • A. Leningrad chosen
    Leningrad, now known as Saint Petersburg, is a major Russian city on the Baltic Sea that served as the imperial capital and endured a devastating World War II siege.
  • B. Kirov Leningrad
    Kirov Leningrad was the historic name of the Soviet-era ice hockey club from Leningrad that later became known as SKA Saint Petersburg.
  • C. Sztálinváros
    Sztálinváros was the former name of the Hungarian industrial city now known as Dunaújváros, built as a model socialist steel-producing center during the communist era.
  • D. City of Moscow
    The City of Moscow is the capital and largest city of Russia, serving as its political, economic, cultural, and scientific center.
  • E. Saint Petersburg, Russian Empire
    Saint Petersburg, Russian Empire was the imperial capital and cultural center of Russia, renowned for its grand architecture, canals, and role as a major European metropolis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e27aa88190a326288b992ea274 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.