Triple
T26477600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sukhoi Su-47 |
E666081
|
entity |
| Predicate | aerodynamicBenefit |
P19885
|
FINISHED |
| Object | improved lift at high angles of attack |
—
|
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: improved lift at high angles of attack | Statement: [Sukhoi Su-47, aerodynamicBenefit, improved lift at high angles of attack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aerodynamicBenefit Context triple: [Sukhoi Su-47, aerodynamicBenefit, improved lift at high angles of attack]
-
A.
aerodynamicsFeature
chosen
Indicates that one entity possesses or is characterized by a specific aerodynamic property, component, or design feature affecting airflow and motion through air.
-
B.
aerodynamicGoal
Indicates a goal or objective specifically related to aerodynamic performance, behavior, or properties in a given context.
-
C.
aerodynamicsRules
Indicates that certain aerodynamic principles or laws govern how an object moves through air or another fluid medium.
-
D.
aerodynamicLoad
Indicates the force or stress exerted on an object due to its interaction with surrounding airflow.
-
E.
windResistance
Indicates the degree to which an entity opposes or reduces the effect of wind acting upon it.
- 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612ce613081908f37874b9ecfe7cc |
completed | May 2, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 12:24 a.m.