Triple
T5059952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawasaki C-1 |
E113997
|
entity |
| Predicate | C-1FTB |
P61021
|
FINISHED |
| Object | flight test bed variant |
—
|
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: flight test bed variant | Statement: [Kawasaki C-1, C-1FTB, flight test bed variant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: C-1FTB Context triple: [Kawasaki C-1, C-1FTB, flight test bed variant]
-
A.
flightDeckType
Indicates the specific configuration or design type of a vehicle’s flight deck (cockpit/control area).
-
B.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
-
C.
fuselageType
Indicates the specific structural or design category of an aircraft’s fuselage that an entity belongs to or uses.
-
D.
flyByWire
Indicates a control relationship where an aircraft’s control surfaces are operated by electronic signals rather than direct mechanical linkage from the pilot.
-
E.
usedOnAircraftName
Indicates that something is employed or applied on an aircraft identified by a specific name.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7453daac8190b2946702c6c4bd93 |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd738ac2e0819099c06cdcc5e21d28 |
completed | March 20, 2026, 4:19 p.m. |
Created at: March 20, 2026, 1:38 p.m.