Triple

T4175207
Position Surface form Disambiguated ID Type / Status
Subject Lake Onega E86458 entity
Predicate hasCityOnShore P969 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: [Lake Onega, hasCityOnShore, Petrozavodsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Petrozavodsk
Context triple: [Lake Onega, hasCityOnShore, 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. Muroran
    Muroran is an industrial port city in southern Hokkaido, Japan, known for its steel industry and scenic coastal landscapes.
  • C. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • D. Pskov, Russia
    Pskov, Russia is an ancient city in northwestern Russia near the Estonian border, known for its medieval kremlin, historic churches, and role as a key fortress in Russian history.
  • E. Apatity
    Apatity is an industrial and scientific town in Russia’s Murmansk Oblast, known for its phosphate mining and research institutes within the Arctic Kola Peninsula 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e9370481908eda048724261c2b completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f564c9c8190bfc321c8ec2dac14 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:45 p.m.