Triple
T14422632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yandex Search |
E357620
|
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 Search, partOf, Yandex ecosystem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yandex ecosystem Context triple: [Yandex Search, 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 Browser
Yandex Browser is a web browser developed by the Russian company Yandex that emphasizes speed, security, and integration with Yandex’s online services.
-
E.
Mail.ru Group
Mail.ru Group is a major Russian internet company known for its popular email service, social networks, and online platforms.
- 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_69fd5bcb131c8190935d9bacb1afc995 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:18 a.m.