Triple

T7565651
Position Surface form Disambiguated ID Type / Status
Subject Lazarevsky District E178905 entity
Predicate partOf P40 FINISHED
Object Greater Sochi E669522 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: Greater Sochi | Statement: [Lazarevsky District, partOf, Greater Sochi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greater Sochi
Context triple: [Lazarevsky District, partOf, Greater Sochi]
  • A. Greater Sochi urban area chosen
    The Greater Sochi urban area is a large, elongated metropolitan region along Russia’s Black Sea coast that encompasses the city of Sochi and its surrounding districts, forming a major resort and tourism hub.
  • B. Tsentralny City District of Sochi
    Tsentralny City District of Sochi is the central administrative and urban core of the resort city of Sochi on Russia’s Black Sea coast.
  • C. Sochi
    Sochi is a Russian resort city on the Black Sea coast, known for its subtropical climate, beaches, and as the host of the 2014 Winter Olympics.
  • D. Sochi mountain cluster
    The Sochi mountain cluster is the group of high-altitude venues near Krasnaya Polyana that hosted the alpine, sliding, and Nordic events of the 2014 Winter Olympics.
  • E. Khimki
    Khimki is a city in Moscow Oblast, Russia, forming part of the Moscow metropolitan area and known for its proximity to major transport hubs and industrial facilities.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8fde87c81909795fc713d7378ff completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856dc5ea881908c2e0075f9631af4 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:50 p.m.