Triple
T33584456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark 39 nuclear bomb |
E860241
|
entity |
| Predicate | droppedAccidentallyOn |
P22010
|
FINISHED |
| Object | North Carolina |
—
|
NE NERFINISHED |
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: North Carolina | Statement: [Mark 39 nuclear bomb, droppedAccidentallyOn, North Carolina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: droppedAccidentallyOn Context triple: [Mark 39 nuclear bomb, droppedAccidentallyOn, North Carolina]
-
A.
fellOn
Indicates that one entity moved downward, typically due to gravity, and came to rest on the surface of another entity.
-
B.
fallsDownBefore
Indicates that one event or entity moves downward or collapses prior in time to another specified event or entity.
-
C.
fallsOn
chosen
Indicates that one entity descends due to gravity and comes to rest upon the surface of another entity.
-
D.
fallsOffAs
Indicates that one quantity decreases in value or intensity as another quantity increases or changes.
-
E.
fellWith
Indicates that one entity fell at the same time as, or in conjunction with, 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_69f3497e70e48190951c94d072879bec |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f772d24481908f88edf9b7c0a9e7 |
completed | May 3, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:40 a.m.