Triple
T33523990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bushehr Nuclear Power Plant |
E858584
|
entity |
| Predicate | hasPlannedUnit |
P134005
|
FINISHED |
| Object | Bushehr-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: Bushehr-2 | Statement: [Bushehr Nuclear Power Plant, hasPlannedUnit, Bushehr-2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlannedUnit Context triple: [Bushehr Nuclear Power Plant, hasPlannedUnit, Bushehr-2]
-
A.
hasPlannedPart
chosen
Indicates that one entity includes another entity as a component or segment within a planned or scheduled whole.
-
B.
hasPlannedProjects
Indicates that an entity is associated with projects that are intended or scheduled to be carried out in the future.
-
C.
hasPlanningStatus
Indicates that an entity is associated with a particular stage, condition, or outcome in a planning or approval process.
-
D.
hasPlanningType
Indicates that an entity is associated with a specific category or type used for planning or scheduling purposes.
-
E.
hasPlan
Indicates that an entity possesses or is associated with a specific plan or course of action.
- 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_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: May 1, 2026, 1:39 a.m.