Triple

T18717954
Position Surface form Disambiguated ID Type / Status
Subject Petrozavodsk State University E457691 entity
Predicate locatedIn P40 FINISHED
Object Petrozavodsk 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: Petrozavodsk | Statement: [Petrozavodsk State University, locatedIn, Petrozavodsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petrozavodsk
Context triple: [Petrozavodsk State University, locatedIn, Petrozavodsk]
  • A. Petrozavodsk, Russia chosen
    Petrozavodsk is the capital city of Russia’s Republic of Karelia, located on the western shore of Lake Onega and known as a regional cultural and industrial center.
  • B. Pskov
    Pskov is an ancient Russian city near the Estonian border, known for its medieval kremlin, historic churches, and role as a key fortress in northwestern Russia.
  • C. Kalyazin
    Kalyazin is a historic town in Tver Oblast, Russia, known for its partially submerged bell tower in the Uglich Reservoir.
  • D. Vesyegonsk
    Vesyegonsk is a small town in Tver Oblast, Russia, situated on the shores of the Rybinsk Reservoir and known historically as a local administrative and trading center.
  • E. Плесецк
    Плесецк — посёлок в Архангельской области России, наиболее известный как один из главных российских космодромов и центров ракетно-космических запусков.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab8198c8190bf2c4acaeb561970 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.