Triple

T1721111
Position Surface form Disambiguated ID Type / Status
Subject Volgograd Oblast E37391 entity
Predicate hasRiverPort P18124 FINISHED
Object Volzhsky E206337 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: Volzhsky | Statement: [Volgograd Oblast, hasRiverPort, Volzhsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Volzhsky
Context triple: [Volgograd Oblast, hasRiverPort, Volzhsky]
  • A. Volzhsky chosen
    Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
  • B. Vyatskoye
    Vyatskoye is a rural locality in Russia’s Khabarovsk Krai, historically noted as the birthplace of North Korean leader Kim Jong Il.
  • C. Verkhnyaya Troitsa
    Verkhnyaya Troitsa is a rural locality in Russia best known as the birthplace of Soviet statesman and longtime nominal head of state Mikhail Kalinin.
  • D. Kholmogory
    Kholmogory is a historic Russian town in the Arkhangelsk region that served as an important early northern trading and administrative center.
  • E. Kostroma
    Kostroma is a historic Russian city northeast of Moscow, known as part of the Golden Ring and for its well-preserved medieval architecture and monasteries.
  • 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_69a8861912dc8190931af43b4b9158a7 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa63558d7c8190830cb8ee2e4a8932 completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeac88e488190aeb6e7a1063405b7 completed March 8, 2026, 9:31 p.m.
Created at: March 4, 2026, 7:30 p.m.