Triple
T15422193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immelmann turn |
E369407
|
entity |
| Predicate | requiresControlInput |
P118727
|
FINISHED |
| Object | back-pressure on stick for half-loop |
—
|
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: back-pressure on stick for half-loop | Statement: [Immelmann turn, requiresControlInput, back-pressure on stick for half-loop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresControlInput Context triple: [Immelmann turn, requiresControlInput, back-pressure on stick for half-loop]
-
A.
requiresControlSystem
Indicates that one entity depends on or mandates the presence of a control system associated with another entity in order to function or be valid.
-
B.
supportsControllerInput
Indicates that an entity is capable of receiving and handling input from a controller device.
-
C.
canControl
Indicates that one entity has the ability or authority to direct, manage, or influence the behavior or state of another entity.
-
D.
hasPhysicalControl
Indicates that one entity currently exercises direct, tangible control or possession over another entity or object.
-
E.
controlsWith
Indicates that one entity exercises authority, direction, or regulatory power over another entity through specific means or mechanisms.
- F. None of above. chosen
Provenance (4 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebe7b1081908e6b9e6e128a8d5d |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:20 a.m.