Triple
T5105432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilatus PC-7 |
E115078
|
entity |
| Predicate | aerobaticCapability |
P51088
|
FINISHED |
| Object | fully aerobatic |
—
|
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: fully aerobatic | Statement: [Pilatus PC-7, aerobaticCapability, fully aerobatic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aerobaticCapability Context triple: [Pilatus PC-7, aerobaticCapability, fully aerobatic]
-
A.
aircraftCapability
chosen
Indicates that an aircraft possesses a particular capability, function, or operational feature.
-
B.
airCapability
Indicates that an entity possesses the ability or resources to operate or project power in the air (e.g., through aircraft, air defenses, or related systems).
-
C.
flightAbility
Indicates the capability or potential of an entity to fly or engage in powered or unpowered aerial movement.
-
D.
altitudeCapability
Indicates the maximum or typical altitude at which an entity can effectively operate or function.
-
E.
hasFixedWingTrainingRole
Indicates that an entity serves in a training capacity specifically related to the operation or use of fixed-wing aircraft.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7589e40c8190a46e4a1b7142be14 |
completed | March 20, 2026, 4:27 p.m. |
| PD | Predicate disambiguation | batch_69bd715e06808190931934dc9930f997 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.