Triple

T14422762
Position Surface form Disambiguated ID Type / Status
Subject Yandex Disk E357622 entity
Predicate partOf P40 FINISHED
Object Yandex ecosystem E374370 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: Yandex ecosystem | Statement: [Yandex Disk, partOf, Yandex ecosystem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yandex ecosystem
Context triple: [Yandex Disk, partOf, Yandex ecosystem]
  • A. Yandex Zen
    Yandex Zen is a personalized content recommendation and news feed platform that delivers articles, videos, and other media based on users’ interests and browsing behavior.
  • B. Yandex chosen
    Yandex is a major Russian multinational technology company best known for its internet search engine and wide range of online services.
  • C. Yandex (R&D center)
    Yandex (R&D center) is a research and development facility of the Russian technology company Yandex, focused on advancing its internet, AI, and data-driven products and services.
  • D. Yandex 360 for Business
    Yandex 360 for Business is a cloud-based productivity and collaboration suite by Yandex that provides integrated email, storage, communication, and office tools for organizations.
  • E. Yandex Maps
    Yandex Maps is a Russian online mapping and navigation service offering detailed maps, satellite imagery, route planning, and real-time traffic information across numerous regions.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91102c3c81908f571a1fff3bdd47 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648784048190a9c7e95bfeec8b23 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:18 a.m.