Triple

T18308396
Position Surface form Disambiguated ID Type / Status
Subject Kirovsky District E438549 entity
Predicate partOfRegion P285 FINISHED
Object Saint Petersburg metropolitan area — 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: Saint Petersburg metropolitan area | Statement: [Kirovsky District, partOfRegion, Saint Petersburg metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saint Petersburg metropolitan area
Context triple: [Kirovsky District, partOfRegion, Saint Petersburg metropolitan area]
  • A. Saint Petersburg agglomeration chosen
    The Saint Petersburg agglomeration is a major metropolitan area in northwestern Russia centered on the city of Saint Petersburg and encompassing surrounding towns, suburbs, and historic sites.
  • B. Moscow metropolitan area
    The Moscow metropolitan area is the large urban agglomeration centered on Russia’s capital city, encompassing Moscow and its surrounding suburbs and satellite towns.
  • C. Saint Petersburg urban okrug
    Saint Petersburg urban okrug is the municipal formation encompassing the city of Saint Petersburg, Russia, functioning as a major cultural, historical, and administrative center.
  • D. Saint Petersburg Federal City
    Saint Petersburg Federal City is a major Russian federal subject centered on the historic city of Saint Petersburg, a key cultural, scientific, and industrial hub in northwestern Russia.
  • E. Moscow–Saint Petersburg
    Moscow–Saint Petersburg is Russia’s busiest and most important intercity rail corridor, linking the nation’s capital with its second-largest city.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50215e0c48190a4679d432b6ee596 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.