Triple

T534014
Position Surface form Disambiguated ID Type / Status
Subject Catherine Palace in Tsarskoye Selo E12286 entity
Predicate locatedIn P40 FINISHED
Object Saint Petersburg region E38781 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 region | Statement: [Catherine Palace in Tsarskoye Selo, locatedIn, Saint Petersburg region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Petersburg region
Context triple: [Catherine Palace in Tsarskoye Selo, locatedIn, Saint Petersburg region]
  • A. Leningrad Oblast chosen
    Leningrad Oblast is a federal subject of Russia surrounding but not including Saint Petersburg, known for its historical regions such as the Karelian Isthmus and its strategic location in northwestern Russia.
  • B. Moscow Oblast
    Moscow Oblast is a federal subject of Russia that surrounds, but does not include, the city of Moscow and serves as a major industrial and population center in western Russia.
  • C. Nizhny Novgorod Oblast
    Nizhny Novgorod Oblast is a federal subject of central Russia known for its major industrial centers, historical cities, and strategic location along the Volga River.
  • D. Tver Oblast
    Tver Oblast is a federal subject of western Russia known for its forests, lakes, and historic towns, and for encompassing the headwaters of major rivers including the Volga.
  • E. Arkhangelsk Oblast
    Arkhangelsk Oblast is a large, sparsely populated region in northern Russia, known for its harsh Arctic climate, extensive forests, and historical role as a site of Soviet-era labor camps and deportations.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a494e202348190a6e5110109703a69 completed March 1, 2026, 7:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5216a74088190bf8d363d32952c28 completed March 2, 2026, 5:34 a.m.
Created at: March 1, 2026, 7:32 p.m.