Triple
T21688734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsar Bomba |
E535300
|
entity |
| Predicate | blastRadiusSevereDamage |
P2542
|
FINISHED |
| Object | tens of kilometers |
—
|
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: tens of kilometers | Statement: [Tsar Bomba, blastRadiusSevereDamage, tens of kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blastRadiusSevereDamage Context triple: [Tsar Bomba, blastRadiusSevereDamage, tens of kilometers]
-
A.
radiusOfSevereDestruction
chosen
Indicates the distance from a central point within which damage or destruction is expected to be extremely severe.
-
B.
casualtyRadius
Indicates the distance from a central point within which people or objects are likely to be harmed or killed by an event or action.
-
C.
bombDamage
Indicates that one entity has caused damage to another entity through the use or effects of a bomb.
-
D.
extentOfDamage
Indicates the degree or severity to which damage has occurred in a given context.
-
E.
damageTo
Indicates a relationship where one entity causes harm, loss, or deterioration to another entity.
- 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_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. |
Created at: April 16, 2026, 6:44 p.m.