Triple
T17943212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SU95 |
E448635
|
entity |
| Predicate | aircraftPrimaryMissionProfile |
P2860
|
FINISHED |
| Object | regional scheduled airline service |
—
|
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: regional scheduled airline service | Statement: [SU95, aircraftPrimaryMissionProfile, regional scheduled airline service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftPrimaryMissionProfile Context triple: [SU95, aircraftPrimaryMissionProfile, regional scheduled airline service]
-
A.
primaryAircraftRole
chosen
Indicates the main operational function or mission type an aircraft is primarily designed or used to perform.
-
B.
aircraftRoleSpecialization
Indicates that one aircraft role is a more specific, specialized form of another, more general aircraft role.
-
C.
basedAircraftRole
Indicates that an aircraft is regularly stationed at a particular location in a specified operational role or function.
-
D.
aircraftSecondaryMission
Indicates the secondary mission or role that an aircraft is intended or configured to perform in addition to its primary mission.
-
E.
aircraftCapability
Indicates that an aircraft possesses a particular capability, function, or operational feature.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad97611c8190a861467ae51f6c48 |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:21 a.m.