Triple
T21688737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsar Bomba |
E535300
|
entity |
| Predicate | falloutReductionMethod |
P144931
|
FINISHED |
| Object | lead tamper instead of uranium-238 |
—
|
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: lead tamper instead of uranium-238 | Statement: [Tsar Bomba, falloutReductionMethod, lead tamper instead of uranium-238]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: falloutReductionMethod Context triple: [Tsar Bomba, falloutReductionMethod, lead tamper instead of uranium-238]
-
A.
decayResistanceCause
Indicates that one factor or condition is the cause of another entity’s resistance to decay.
-
B.
reducedProtectionFor
Indicates that one entity has a lower or weakened level of protection or safeguarding in relation to another entity or context.
-
C.
effectOnNativeResistance
Indicates the impact that one entity has on the level or strength of another entity’s native resistance.
-
D.
damageAdjusted
Indicates that the amount of damage has been modified from its original value, typically to account for mitigating or amplifying factors.
-
E.
targetReduction
Indicates a relationship where one entity is intended or expected to decrease, diminish, or lessen another entity by a specified amount or proportion.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cd51d481908df67e4f69826b06 |
completed | April 27, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69e6969113cc8190ab69855ef5667e4b |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:44 p.m.