Triple
T33523968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bushehr Nuclear Power Plant |
E858584
|
entity |
| Predicate | numberOfOperationalUnits |
P19248
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Bushehr Nuclear Power Plant, numberOfOperationalUnits, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOperationalUnits Context triple: [Bushehr Nuclear Power Plant, numberOfOperationalUnits, 1]
-
A.
numberOperational
Indicates that an entity is currently functioning and available for use in its intended operational capacity.
-
B.
numberOfUnits
chosen
Indicates the quantity or count of discrete units associated with an entity or relationship.
-
C.
operationalUnit
Indicates that one entity functions as an operational unit (a distinct executing or managing unit) within the scope or structure defined by another entity.
-
D.
hasNumberOfBusinessUnits
Indicates the specific count of business units associated with an entity.
-
E.
numberOfCountriesWithOperations
Indicates the count of distinct countries in which an entity conducts operations or activities.
- 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_6a032616547c8190bc877202e43403eb |
completed | May 12, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_6a0325246abc819088e16a7fbadf40c5 |
completed | May 12, 2026, 1:03 p.m. |
Created at: May 1, 2026, 1:39 a.m.