Triple
T33523982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bushehr Nuclear Power Plant |
E858584
|
entity |
| Predicate | spentFuelReturnCountry |
P90381
|
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, spentFuelReturnCountry, Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spentFuelReturnCountry Context triple: [Bushehr Nuclear Power Plant, spentFuelReturnCountry, Russia]
-
A.
spentFuelDestination
chosen
Indicates where spent fuel is sent or stored after it has been used.
-
B.
spentFuelPoolLocation
Indicates the physical place where a spent fuel pool is situated or housed.
-
C.
withdrawingCountry
Indicates that a country is in the process of or has decided to withdraw from a group, agreement, organization, or arrangement.
-
D.
beneficiaryCountry
Indicates that one country is the recipient or beneficiary of aid, resources, or advantages provided in a given context.
-
E.
countryOfExtradition
Indicates the country to which a person is or may be surrendered under an extradition process.
- 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.