Triple
T30923721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swearingen Aircraft |
E787797
|
entity |
| Predicate | notableDesignFeatureOfProducts |
P57584
|
FINISHED |
| Object | pressurized cabins |
—
|
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: pressurized cabins | Statement: [Swearingen Aircraft, notableDesignFeatureOfProducts, pressurized cabins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDesignFeatureOfProducts Context triple: [Swearingen Aircraft, notableDesignFeatureOfProducts, pressurized cabins]
-
A.
notableTechnicalFeature
Indicates that an entity possesses a significant or distinguishing technical characteristic or capability.
-
B.
designedFeature
chosen
Indicates that one entity is a feature or component intentionally planned, created, or specified by another entity as part of a design.
-
C.
notableFeatureOn
Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
-
D.
notablePackagingDesign
Indicates that an entity is recognized for having a distinctive, noteworthy, or otherwise significant packaging design.
-
E.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:51 p.m.