Triple
T15576008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yandex |
E374370
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Yandex search engine |
E357620
|
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 search engine | Statement: [Yandex, notableProduct, Yandex search engine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yandex search engine Context triple: [Yandex, notableProduct, Yandex search engine]
-
A.
Yandex
Yandex is a major Russian multinational technology company best known for its internet search engine and wide range of online services.
-
B.
Yandex Search
chosen
Yandex Search is a Russian-developed web search engine that powers Yandex’s ecosystem of online services and tools.
-
C.
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.
-
D.
Qwant
Qwant is a French privacy-focused search engine that emphasizes user anonymity and does not track or profile its users.
-
E.
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.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e2140388190a8df7b835eaa72ce |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c231e0819083d6032eb21114b2 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:10 a.m.