Triple
T32894715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KRNT |
E841436
|
entity |
| Predicate | supportsManufacturerOperations |
P109265
|
FINISHED |
| Object | Boeing 737 production flights |
—
|
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: Boeing 737 production flights | Statement: [KRNT, supportsManufacturerOperations, Boeing 737 production flights]
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 (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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:18 a.m.