Triple

T4425535
Position Surface form Disambiguated ID Type / Status
Subject Yahoo! Search E95197 entity
Predicate hasCompetitor P1375 FINISHED
Object Yandex 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 | Statement: [Yahoo! Search, hasCompetitor, Yandex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yandex
Context triple: [Yahoo! Search, hasCompetitor, Yandex]
  • A. Yandex chosen
    Yandex is a major Russian multinational technology company best known for its internet search engine and wide range of online services.
  • B. 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.
  • C. Baidu
    Baidu is a leading Chinese technology company best known for its dominant search engine and extensive work in artificial intelligence.
  • D. Yandex Search
    Yandex Search is a Russian-developed web search engine that powers Yandex’s ecosystem of online services and tools.
  • E. Yandex Mail
    Yandex Mail is a free email service provided by Russian tech company Yandex, offering web-based and mobile access with features like spam protection, large storage, and integration with other Yandex services.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554e40ec8190982acc0948da2f42 completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f633a69c8190b062c2a78b0f8319 completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:30 p.m.