Triple
T36348648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destroyers of Argentina |
E895133
|
entity |
| Predicate | typicalSensors |
—
|
GENERATED |
| Object | surface search radar |
—
|
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: typicalSensors Context triple: [Destroyers of Argentina, typicalSensors, surface search radar]
-
A.
sensorTypesInvolved
Indicates the types of sensors that participate in or are utilized within a given event, process, or system.
-
B.
hasSensor
chosen
Indicates that one entity is equipped with, contains, or uses a particular sensor.
-
C.
numberOfSensors
Indicates the quantity of sensors associated with or contained by a given entity.
-
D.
requiresExternalSensors
Indicates that performing this action or maintaining this relationship depends on input or data from sensors that are external to the entity itself.
-
E.
sensorsLocation
Indicates that a sensor is physically or logically situated at a specific location.
- F. None of above.
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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:09 p.m.