Triple

T9517070
Position Surface form Disambiguated ID Type / Status
Subject Galina Vishnevskaya E229551 entity
Predicate placeOfBirth P1 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: [Galina Vishnevskaya, placeOfBirth, Leningrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leningrad
Context triple: [Galina Vishnevskaya, placeOfBirth, 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. Konets Sankt-Peterburga
    Konets Sankt-Peterburga is a 1927 Soviet silent film directed by Vsevolod Pudovkin, renowned as a landmark of montage cinema and revolutionary propaganda.
  • D. Stalino
    Stalino was the Soviet-era name of the industrial city now known as Donetsk in eastern Ukraine.
  • E. Petrovgrad
    Petrovgrad was the former name of the Serbian city now known as Zrenjanin, located in the Vojvodina region.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd987eefec8190b0db1928776bf02b completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139d4e660819099ec1ffd6c8d3305 completed April 4, 2026, 4:18 p.m.
Created at: March 30, 2026, 7:58 p.m.