Triple

T2830149
Position Surface form Disambiguated ID Type / Status
Subject Fyodor Bruni E62215 entity
Predicate deathPlace P21 FINISHED
Object Saint Petersburg E916 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: Saint Petersburg | Statement: [Fyodor Bruni, deathPlace, Saint Petersburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Petersburg
Context triple: [Fyodor Bruni, deathPlace, Saint Petersburg]
  • A. 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.
  • B. St. Petersburg chosen
    St. Petersburg is a major Russian port city on the Baltic Sea, renowned for its imperial architecture, cultural heritage, and role as a historic capital of Russia.
  • C. Gatchina
    Gatchina is a historic Russian town near Saint Petersburg, known for its imperial palace complex and long association with the Romanov dynasty.
  • D. Novgorod
    Novgorod is one of the oldest and historically most important cities of Russia, a major medieval political and cultural center that played a key role in the formation of the early Russian state.
  • E. Arkhangelsk
    Arkhangelsk is a historic port city in northern Russia on the White Sea, long serving as a key maritime gateway and administrative center of the surrounding 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebbde4881908dfa78e28c7018e0 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce7ea0608190af4ef9655c612fbb completed March 10, 2026, 7:55 a.m.
Created at: March 6, 2026, 10:01 p.m.