Triple

T9651921
Position Surface form Disambiguated ID Type / Status
Subject Pavlovsk E233354 entity
Predicate hasNearbyCity P350 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: [Pavlovsk, hasNearbyCity, Saint Petersburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saint Petersburg
Context triple: [Pavlovsk, hasNearbyCity, Saint Petersburg]
  • A. 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.
  • B. 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.
  • C. St. Petersburg
    St. Petersburg is the fictional Mississippi River town that serves as the central backdrop for Mark Twain’s classic novel "The Adventures of Tom Sawyer."
  • D. 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.
  • E. Saint Petersburg Metropolitan
    Saint Petersburg Metropolitan is the municipal organization responsible for managing and operating the Saint Petersburg Metro rapid transit system in Russia.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bb0cce88190b7eacc8b43450d7f completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcb3a1ec819099c8a222c01c9d65 completed April 5, 2026, 1:36 a.m.
Created at: March 30, 2026, 8:13 p.m.