Triple
T19281790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilibino Nuclear Power Plant |
E482205
|
entity |
| Predicate | hasReactorUnit |
P51668
|
FINISHED |
| Object | Bilibino-2 |
—
|
NE NERFINISHED |
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: Bilibino-2 | Statement: [Bilibino Nuclear Power Plant, hasReactorUnit, Bilibino-2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bilibino-2 Context triple: [Bilibino Nuclear Power Plant, hasReactorUnit, Bilibino-2]
-
A.
Bilibino-1
chosen
Bilibino-1 is a small graphite-moderated, water-cooled nuclear reactor unit that forms part of Russia’s remote Bilibino Nuclear Power Plant in Chukotka.
-
B.
Bilibino
Bilibino is a small town in Russia’s Far East best known for hosting one of the world’s northernmost nuclear power plants.
-
C.
Bilibin
Bilibin is a Russian surname most famously associated with Ivan Bilibin, a prominent illustrator and stage designer linked to the Russian Art Nouveau and Mir Iskusstva movements.
-
D.
Noboribetsu
Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
-
E.
Nuriro
Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fbff1e6c819094ae6a5ad40adb65 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.