Triple
T4960233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilibino |
E111386
|
entity |
| Predicate | reactorCount |
P34726
|
FINISHED |
| Object | 4 at Bilibino Nuclear Power Plant |
—
|
LITERAL 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: 4 at Bilibino Nuclear Power Plant | Statement: [Bilibino, reactorCount, 4 at Bilibino Nuclear Power Plant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reactorCount Context triple: [Bilibino, reactorCount, 4 at Bilibino Nuclear Power Plant]
-
A.
numberOfReactors
chosen
Indicates the quantity of reactors associated with or contained by a given entity.
-
B.
reactor
Indicates a relationship where an entity functions as or is associated with a nuclear or chemical reactor system.
-
C.
reactorType
Indicates the specific kind or category of reactor associated with an entity.
-
D.
reactorModel
Indicates a specific reactor design or configuration that an entity is based on, uses, or is associated with.
-
E.
hasReactorUnit
Indicates that one entity possesses, contains, or is equipped with a specific reactor unit as a component or subsystem.
- F. None of above.
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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.