Triple
T22989200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yongbyon Nuclear Scientific Research Center |
E571999
|
entity |
| Predicate | enrichmentPlantEstimatedCentrifuges |
P150526
|
FINISHED |
| Object | about 2000 |
—
|
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: about 2000 | Statement: [Yongbyon Nuclear Scientific Research Center, enrichmentPlantEstimatedCentrifuges, about 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enrichmentPlantEstimatedCentrifuges Context triple: [Yongbyon Nuclear Scientific Research Center, enrichmentPlantEstimatedCentrifuges, about 2000]
-
A.
plutoniumFacility
Indicates a facility that is involved in the production, processing, handling, or storage of plutonium.
-
B.
producedPlutoniumFor
Indicates that one entity generated or manufactured plutonium intended for use by another entity.
-
C.
plannedNumberOfReactors
Indicates the total number of reactors that are intended or scheduled to be built, installed, or operated for a given facility or project.
-
D.
hasFuelEnrichmentRange
Indicates that there is a specified range of fuel enrichment levels associated with an entity or relationship.
-
E.
hadNuclearFacilities
Indicates that an entity possessed or operated nuclear-related installations or infrastructure.
- F. None of above. chosen
Provenance (4 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182ea55cc8190b64b722ce8c45b53 |
completed | April 29, 2026, 4:02 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:49 p.m.