Triple
T16186446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zelenograd |
E392816
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Soviet Silicon Valley |
E392816
|
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: Soviet Silicon Valley | Statement: [Zelenograd, nickname, Soviet Silicon Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soviet Silicon Valley Context triple: [Zelenograd, nickname, Soviet Silicon Valley]
-
A.
Zelenograd
chosen
Zelenograd is a district of Moscow, Russia, known as a major center for electronics, microelectronics, and high-tech industry, often referred to as Russia’s "Silicon Valley."
-
B.
Tekhnopark
Tekhnopark is a Moscow Metro station on the Zamoskvoretskaya Line serving the Technopark technology and business district in southern Moscow.
-
C.
Siberian Athens
Siberian Athens is a cultural and educational nickname for the Russian city of Tomsk, highlighting its historic role as a major academic and intellectual center in Siberia.
-
D.
Silicon Valley
Silicon Valley is a globally renowned technology and innovation hub in Northern California, home to many of the world’s leading tech companies and startups.
-
E.
Industrial Academy in Moscow
The Industrial Academy in Moscow was a Soviet higher education institution focused on training specialists in industry, economics, and management for the planned economy.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22061f47481909ededd5eed40f5a4 |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007899b408190abcb7e72bdc81e9d |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:02 a.m.