Triple

T10932603
Position Surface form Disambiguated ID Type / Status
Subject Адмиралтейская набережная E258245 entity
Predicate locatedIn P40 FINISHED
Object Санкт-Петербург 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: Санкт-Петербург | Statement: [Адмиралтейская набережная, locatedIn, Санкт-Петербург]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Санкт-Петербург
Context triple: [Адмиралтейская набережная, locatedIn, Санкт-Петербург]
  • 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. 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."
  • C. 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.
  • D. Mosca
    Mosca is the cunning and manipulative servant in Ben Jonson’s play "Volpone," known for orchestrating deceptions and driving much of the plot’s dark comedy.
  • E. Ekaterinodar
    Ekaterinodar, now known as Krasnodar, was a major city in southern Russia that served as an important political and military center in the Kuban 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a16cbc8190acd619defed7114c completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e42d4f9518819091f7e02ad5f63ab3 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:23 p.m.