Triple
T32719905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SIAI-Marchetti S.208 |
E836640
|
entity |
| Predicate | tailwheelOrNosewheel |
P3545
|
FINISHED |
| Object | nosewheel |
—
|
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: nosewheel | Statement: [SIAI-Marchetti S.208, tailwheelOrNosewheel, nosewheel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tailwheelOrNosewheel Context triple: [SIAI-Marchetti S.208, tailwheelOrNosewheel, nosewheel]
-
A.
landingGearType
chosen
Indicates the specific kind or configuration of landing gear that an object (typically an aircraft or vehicle) uses.
-
B.
landingGear
Indicates that an entity’s landing gear is present, deployed, or otherwise involved in a landing-related state or action relative to another entity or context.
-
C.
aircraftNoseConfiguration
Indicates the specific structural or design arrangement of an aircraft’s nose section in relation to the rest of the airframe.
-
D.
hasNacelles
Indicates that an object is equipped with one or more nacelles attached to it.
-
E.
wheelType
Indicates the specific kind or category of wheel associated with an entity.
- 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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c889dd208190a7b71d36c2a88624 |
completed | May 3, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:11 a.m.