Triple

T5063855
Position Surface form Disambiguated ID Type / Status
Subject Vyacheslav Kozlov E114093 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Atlant Moscow Oblast E186823 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: Atlant Moscow Oblast | Statement: [Vyacheslav Kozlov, memberOfSportsTeam, Atlant Moscow Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlant Moscow Oblast
Context triple: [Vyacheslav Kozlov, memberOfSportsTeam, Atlant Moscow Oblast]
  • A. Atlant Moscow Oblast chosen
    Atlant Moscow Oblast was a professional ice hockey club based in the Moscow region of Russia that competed in the Kontinental Hockey League (KHL).
  • B. Kaluga
    Kaluga is a historic city in western Russia known as a regional administrative center and an important site in several Russian uprisings and military campaigns.
  • C. Elektrostal
    Elektrostal is an industrial city in Russia known for its metallurgical and engineering industries, located east of Moscow.
  • D. Moscow Oblast
    Moscow Oblast is a federal subject of Russia that surrounds, but does not include, the city of Moscow and serves as a major industrial and population center in western Russia.
  • E. Cherepovets
    Cherepovets is a major industrial city in northwestern Russia, known especially for its large steel production and chemical industries.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd747756bc8190863c426e6fd6e8f7 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf069d371c81909d87432f6bd2d506 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:38 p.m.