Triple
T32894715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KRNT |
E841436
|
entity |
| Predicate | supportsManufacturerOperations |
—
|
GENERATED |
| Object | Boeing 737 production flights |
—
|
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: supportsManufacturerOperations Context triple: [KRNT, supportsManufacturerOperations, Boeing 737 production flights]
-
A.
supportsOperationsIn
Indicates that one entity enables, facilitates, or backs the execution of operations within a specified context, area, or domain of another entity.
-
B.
supportedByManufacturer
Indicates that a product or item receives official backing, maintenance, or service from its manufacturer.
-
C.
supportsOperationsWith
chosen
Indicates that one entity enables, facilitates, or is compatible with the execution of operations involving another entity.
-
D.
manufacturerSupportedBy
Indicates that a manufacturer receives backing, assistance, or endorsement from another party.
-
E.
hasCustomerServiceOperationsIn
Indicates that an entity conducts customer service activities or maintains customer support functions within a specified location or region.
- 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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:18 a.m.