Triple
T6156183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tecnam |
E137325
|
entity |
| Predicate | aircraftCertification |
P67484
|
FINISHED |
| Object | light sport aircraft standards |
—
|
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: light sport aircraft standards | Statement: [Tecnam, aircraftCertification, light sport aircraft standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftCertification Context triple: [Tecnam, aircraftCertification, light sport aircraft standards]
-
A.
airworthinessCategory
chosen
Indicates the regulatory airworthiness classification assigned to an aircraft or component, defining the standards and conditions under which it is approved to operate.
-
B.
licenseProducedAircraft
Indicates that an entity manufactured an aircraft under a license agreement to produce a design created by another party.
-
C.
airOperatorCertificateStatus
Indicates the current regulatory approval state of an air operator’s certificate authorizing it to conduct aviation operations.
-
D.
aircraftRegistration
Indicates that an aircraft is assigned a specific official registration identifier or code.
-
E.
aircraftRecord
Indicates a relationship where a record or entry documents information about an aircraft and its associated details.
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d0376408190a2233375f478377e |
completed | March 22, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:17 p.m.