Triple
T20912568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semipalatinsk Test Site |
E514983
|
entity |
| Predicate | numberOfAtmosphericTests |
P42472
|
FINISHED |
| Object | over 100 |
—
|
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: over 100 | Statement: [Semipalatinsk Test Site, numberOfAtmosphericTests, over 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAtmosphericTests Context triple: [Semipalatinsk Test Site, numberOfAtmosphericTests, over 100]
-
A.
numberOfNuclearTests
chosen
Indicates the total count of nuclear tests associated with a given entity (such as a country, site, or time period).
-
B.
nuclearTestsConducted
Indicates that one entity has carried out nuclear weapons tests involving another entity, location, or time period.
-
C.
nuclearTestedAs
Indicates that an entity has been subjected to or involved in a nuclear test in the role or manner specified by the related entity.
-
D.
largestNuclearTest
Indicates that the subject entity conducted or is associated with the largest nuclear test (by yield or scale) within a specified context or comparison set.
-
E.
nuclearTestSeries
Indicates a relationship where multiple nuclear tests are grouped and conducted as part of a coordinated series or campaign.
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec5f5bc48190a8e7e6af60b158fb |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:48 p.m.