Triple

T3633249
Position Surface form Disambiguated ID Type / Status
Subject City of Thieves E77006 entity
Predicate setting P1957 FINISHED
Object Leningrad E90774 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: Leningrad | Statement: [City of Thieves, setting, Leningrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leningrad
Context triple: [City of Thieves, setting, 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. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • C. Brest Fortress
    Brest Fortress is a historic 19th-century Russian fortress in Brest, Belarus, renowned for its fierce Soviet resistance during the early days of the German invasion in World War II.
  • D. Shlisselburg
    Shlisselburg is a historic Russian town near Saint Petersburg, best known for its strategic fortress and former political prison on Lake Ladoga.
  • E. Kirov
    Kirov is the revolutionary pseudonym of Sergei Kirov, a prominent early Soviet political leader and close associate of Joseph Stalin.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc30457608190840fb5b33f9965c4 completed March 8, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f1af1c48190a72effe80959bfb3 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:23 p.m.