Triple
T34524717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian Navy aircraft carriers |
E886368
|
entity |
| Predicate | typicalAirWingSizeRange |
—
|
GENERATED |
| Object | 20–40 aircraft |
—
|
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: typicalAirWingSizeRange Context triple: [Indian Navy aircraft carriers, typicalAirWingSizeRange, 20–40 aircraft]
-
A.
typicalAviationElementSize
Indicates the characteristic or standard physical size commonly associated with an aviation-related element.
-
B.
aircraftSizeClass
Indicates the size category or class an aircraft belongs to based on its physical dimensions or capacity.
-
C.
wingSize
Indicates the relative or measured size of an entity’s wing(s) in the relationship.
-
D.
airWingType
Indicates the classification or category of an air wing associated with an entity.
-
E.
aircraftLength
Indicates the physical longitudinal measurement of an aircraft from its nose to its tail.
- 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_69f349cd7c148190aa99192b126d1527 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:02 a.m.