Triple
T13576983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonov An-12 |
E324310
|
entity |
| Predicate | typicalMedicalEvacuationCapacity |
P26779
|
FINISHED |
| Object | 24 stretchers |
—
|
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: 24 stretchers | Statement: [Antonov An-12, typicalMedicalEvacuationCapacity, 24 stretchers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMedicalEvacuationCapacity Context triple: [Antonov An-12, typicalMedicalEvacuationCapacity, 24 stretchers]
-
A.
medicalEvacuationCapacity
chosen
Indicates the ability or resources available to transport and care for patients during a medical evacuation operation.
-
B.
supportsMedEvacOperations
Indicates the capability or role of providing assistance, resources, or infrastructure necessary to conduct medical evacuation operations.
-
C.
paratroopCapacity
Indicates the maximum number of paratroopers or amount of airborne troops that something (typically a vehicle or vessel) is capable of carrying or deploying.
-
D.
numberOfTroopsEvacuated
Indicates the quantity of troops that have been removed from a location or situation and transported to safety.
-
E.
rescueCasualties
Indicates performing actions to locate, assist, and remove injured or endangered individuals from a hazardous or emergency situation.
- 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02de1988190af2d473973ecd529 |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.