Triple
T20825304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Manna |
E512681
|
entity |
| Predicate | dropMethod |
P110952
|
FINISHED |
| Object | low-altitude food airdrops |
—
|
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: low-altitude food airdrops | Statement: [Operation Manna, dropMethod, low-altitude food airdrops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dropMethod Context triple: [Operation Manna, dropMethod, low-altitude food airdrops]
-
A.
dropElement
Indicates that an element is removed or discarded from a collection, sequence, or structure.
-
B.
dropStyle
chosen
Indicates the manner or pattern in which something is dropped, such as how an item or element is released or falls.
-
C.
drop
Indicates that an entity causes something to fall or be released from a higher position to a lower one.
-
D.
dropType
Indicates the manner or category of how something is dropped, released, or caused to fall.
-
E.
dropCount
Indicates the number of times an entity has been dropped or caused to drop something.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2fd8480819099930af691d97477 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a1f4f48190aa9fb4ef8f8aea5a |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:41 p.m.