Triple
T16820183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Air Commuter (historical) |
E408865
|
entity |
| Predicate | usedAircraftCategory |
P45618
|
FINISHED |
| Object | regional turboprop aircraft |
—
|
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 turboprop aircraft | Statement: [Japan Air Commuter (historical), usedAircraftCategory, regional turboprop aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAircraftCategory Context triple: [Japan Air Commuter (historical), usedAircraftCategory, regional turboprop aircraft]
-
A.
usedByAircraftType
Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
-
B.
typicalAircraftTypeCategory
chosen
Indicates the general class or category of aircraft type that is most commonly associated with or used in a given context.
-
C.
planeCategory
Indicates the classification or type of a plane within a defined categorization scheme.
-
D.
aircraftCategoryProduced
Indicates that an entity (such as a manufacturer or organization) has produced aircraft belonging to a specified aircraft category.
-
E.
aircraftTypesUsedOn
Indicates the types or models of aircraft that are used on or assigned to a particular route, service, operation, or context.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e56b9c8190a35ad9c463954fbf |
completed | April 18, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69e32b814b188190aee525f8779203cd |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.