Triple
T33102657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learjet 75 |
E847097
|
entity |
| Predicate | wingletsType |
P162799
|
FINISHED |
| Object | canted winglets |
—
|
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: canted winglets | Statement: [Learjet 75, wingletsType, canted winglets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingletsType Context triple: [Learjet 75, wingletsType, canted winglets]
-
A.
hasWinglets
Indicates that an object, typically an aircraft wing, is equipped with winglets as part of its design or structure.
-
B.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
C.
hasWingletType
chosen
Indicates the specific type or design of winglet associated with an aircraft wing or similar aerodynamic surface.
-
D.
wingFeatures
Indicates the characteristics, attributes, or structural properties associated with a wing.
-
E.
typeOfWing
Indicates the specific kind or category of wing that an entity possesses or is associated with.
- 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_69f3495686508190b76bf20fa5e00bf7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6b0ebd081909e69efba478f8924 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:26 a.m.