Triple

T17248820
Position Surface form Disambiguated ID Type / Status
Subject Kondopoga E418695 entity
Predicate locatedNear P294 FINISHED
Object Petrozavodsk E101419 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: Petrozavodsk | Statement: [Kondopoga, locatedNear, Petrozavodsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petrozavodsk
Context triple: [Kondopoga, locatedNear, 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 (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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e2569c081908ffd3ee9c76bcc17 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180cc1da88190b91cbcd3565528fc completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:39 a.m.