Triple
T12676772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuznetsov NK-144 |
E302833
|
entity |
| Predicate | aircraftRolePowered |
P103357
|
FINISHED |
| Object | civil airliner |
—
|
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: civil airliner | Statement: [Kuznetsov NK-144, aircraftRolePowered, civil airliner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftRolePowered Context triple: [Kuznetsov NK-144, aircraftRolePowered, civil airliner]
-
A.
poweredAircraftRole
chosen
Indicates the functional role or purpose assigned to a powered (engine-driven) aircraft within an operation or context.
-
B.
aircraftPowered
Indicates that one entity (an aircraft) is powered or driven by another entity (such as an engine, motor, or propulsion system).
-
C.
poweredAircraftType
Indicates that one entity is a type or category of aircraft that is propelled by an onboard power source (e.g., engines), as opposed to being unpowered.
-
D.
notableAircraftPowered
Indicates that an aircraft is notably powered or propelled by a specified engine, powerplant, or propulsion system.
-
E.
aircraftRoleSupported
Indicates that a given role or function is supported or enabled for a particular 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b0d9c88190a05d6cbcb7a1642d |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.