Triple

T15263586
Position Surface form Disambiguated ID Type / Status
Subject Vitalik Buterin E364844 entity
Predicate placeOfBirth P1 FINISHED
Object Kolomna, Russia E119163 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: Kolomna, Russia | Statement: [Vitalik Buterin, placeOfBirth, Kolomna, Russia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kolomna, Russia
Context triple: [Vitalik Buterin, placeOfBirth, Kolomna, Russia]
  • A. Kolomna chosen
    Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
  • B. Sovetsk, Russia
    Sovetsk is a town in Russia’s Kaliningrad Oblast, best known historically as the former East Prussian city of Tilsit, where the 1807 Treaties of Tilsit were signed.
  • C. 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.
  • D. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • E. Maykop, Russia
    Maykop, Russia is the capital city of the Republic of Adygea in the North Caucasus region, known for its oil industry and diverse cultural heritage.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084fed0481908e452c89cba2be82 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5fdc21881909d87062db6fb8fb7 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.