Triple
T33523981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bushehr Nuclear Power Plant |
E858584
|
entity |
| Predicate | fuelSupplyCountry |
P51152
|
FINISHED |
| Object | Russia |
—
|
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: Russia | Statement: [Bushehr Nuclear Power Plant, fuelSupplyCountry, Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fuelSupplyCountry Context triple: [Bushehr Nuclear Power Plant, fuelSupplyCountry, Russia]
-
A.
fuelSupplier
chosen
Indicates that one entity supplies fuel to another as a provider in a fuel-related relationship.
-
B.
assemblyCountry
Indicates the country in which an item, product, or component is assembled.
-
C.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
D.
engineOriginCountry
Indicates the country where an engine was originally designed, manufactured, or first produced.
-
E.
aircraftOriginCountry
Indicates the country from which an aircraft originates, such as where it was built, registered, or primarily associated.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:39 a.m.