Triple
T1815094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airbus Beluga |
E40417
|
entity |
| Predicate | reasonForLoweredCockpit |
P32601
|
FINISHED |
| Object | to allow unobstructed cargo loading |
—
|
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: to allow unobstructed cargo loading | Statement: [Airbus Beluga, reasonForLoweredCockpit, to allow unobstructed cargo loading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForLoweredCockpit Context triple: [Airbus Beluga, reasonForLoweredCockpit, to allow unobstructed cargo loading]
-
A.
cockpitType
Indicates the specific configuration or style of cockpit associated with an entity (e.g., vehicle or aircraft).
-
B.
cockpitCommonalityWith
Indicates that two aircraft or vehicle models share a similar or standardized cockpit layout, controls, or interface design.
-
C.
pressurizedCabin
Indicates that an enclosed space, typically in a vehicle or structure, is maintained at a controlled air pressure different from the outside environment.
-
D.
typicalPilotPosition
Indicates the usual or standard spatial position or placement where a pilot is located relative to the associated object or system.
-
E.
locationOnAircraft
Indicates that one entity is physically situated on or within an aircraft.
- 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_69a8864526c081908a3a4d74f689e2c5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aba67721788190951beae25e885457 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61d884548190a19cf3a6b5ae9d48 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69aba67554788190b429f2b9f0a70310 |
completed | March 7, 2026, 4:15 a.m. |
Created at: March 4, 2026, 7:32 p.m.