Triple

T14422663
Position Surface form Disambiguated ID Type / Status
Subject Yandex Search E357620 entity
Predicate integratedWith P2830 FINISHED
Object Yandex News E357624 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 News | Statement: [Yandex Search, integratedWith, Yandex News]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yandex News
Context triple: [Yandex Search, integratedWith, Yandex News]
  • A. Google News
    Google News is a news aggregation service by Google that compiles and personalizes headlines and articles from thousands of publishers worldwide.
  • B. Yandex Search
    Yandex Search is a Russian-developed web search engine that powers Yandex’s ecosystem of online services and tools.
  • C. Yahoo News
    Yahoo News is a major online news and media platform providing global and local coverage across politics, business, entertainment, and more as part of the Yahoo digital ecosystem.
  • D. Yandex
    Yandex is a major Russian multinational technology company best known for its internet search engine and wide range of online services.
  • E. Yandex Zen chosen
    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.
  • 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_69fd5bcd2a908190ad7d5ebf11b41551 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.