Triple
T26394830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RDS-1 test |
E663518
|
entity |
| Predicate | testNumber |
P94502
|
FINISHED |
| Object | first Soviet nuclear test |
—
|
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: first Soviet nuclear test | Statement: [RDS-1 test, testNumber, first Soviet nuclear test]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testNumber Context triple: [RDS-1 test, testNumber, first Soviet nuclear test]
-
A.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
-
B.
test
Indicates that an entity performs, undergoes, or is associated with a testing or examination process involving another entity or condition.
-
C.
testCase
Indicates a relationship where a specific scenario, input set, or condition is used to verify, validate, or evaluate the behavior or correctness of a system, component, or function.
-
D.
sampleNumber
chosen
Indicates that an entity is identified or associated with a specific sample number within a set of samples.
-
E.
testType
Indicates the specific category or kind of test associated with an entity or event.
- 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_69ee883823988190b418b111be28a44a |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610c1b57081909b603c41b3c0e5e0 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:28 p.m.