Triple

T8024719
Position Surface form Disambiguated ID Type / Status
Subject Atlant Moscow Oblast E186823 entity
Predicate rebrandedAs P65 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: [Atlant Moscow Oblast, rebrandedAs, Atlant Moscow Oblast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atlant Moscow Oblast
Context triple: [Atlant Moscow Oblast, rebrandedAs, 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3e90c7348190abc1013a312e4f1a completed March 31, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93b18a6c81908a3a4bc25552d97b completed April 1, 2026, 3:40 a.m.
Created at: March 30, 2026, 5:21 p.m.