Triple

T15863191
Position Surface form Disambiguated ID Type / Status
Subject Котлин E384641 entity
Predicate находитсяУПобережья P84004 FINISHED
Object Санкт-Петербург E916 NE FINISHED

How this triple was built (3 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: [Котлин, находитсяУПобережья, Санкт-Петербург]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Санкт-Петербург
Context triple: [Котлин, находитсяУПобережья, 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. Saint Petersburg agglomeration
    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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: находитсяУПобережья
Context triple: [Котлин, находитсяУПобережья, Санкт-Петербург]
  • A. находитсяК
    Indicates that one entity is located at, in, or near another entity.
  • B. устьеНаходитсяВ
    Indicates that the mouth of a river or stream is located within or at a specified body of water or geographic area.
  • C. расположенаНа
    Indicates that one entity is located on the surface or area of another entity.
  • D. locatedOnCoastAt chosen
    Indicates that one entity is situated on the coastline at the specific location represented by another entity.
  • E. locatedOnEasternShoreOf
    Indicates that one entity is situated on the eastern shore or bank of another geographic feature, such as a body of water or landform.
  • F. None of above.

Provenance (4 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3b717c88190b974a44470136ff2 completed May 9, 2026, 11:31 p.m.
PD Predicate disambiguation batch_69e142b976c081908d3ba3e705419f3a completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:50 a.m.