Triple
T33584455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark 39 nuclear bomb |
E860241
|
entity |
| Predicate | numberOfBombsInAccident |
—
|
GENERATED |
| Object | two |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBombsInAccident Context triple: [Mark 39 nuclear bomb, numberOfBombsInAccident, two]
-
A.
resultOfBombing
Indicates that something exists or occurs as a consequence or outcome of a bombing event.
-
B.
numberOfExplosions
Indicates the count of distinct explosion events associated with an entity or situation.
-
C.
numberOfPeopleKilledInBombing
Indicates the total count of people who were killed as a direct result of a specific bombing event.
-
D.
numberOfFailedBombs
Indicates the count of bombs associated with an entity that did not successfully detonate or function as intended.
-
E.
numberOfBomberDeaths
Indicates the quantity of individuals who died while serving as bombers in a given context or event.
- F. None of above. chosen
Provenance (1 batch)
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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:40 a.m.