Triple
T1543375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SOUTHWEST |
E32920
|
entity |
| Predicate | usedByFlightCrewRole |
P21064
|
FINISHED |
| Object | pilot |
—
|
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: pilot | Statement: [SOUTHWEST, usedByFlightCrewRole, pilot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedByFlightCrewRole Context triple: [SOUTHWEST, usedByFlightCrewRole, pilot]
-
A.
usedOnAircraftName
Indicates that something is employed or applied on an aircraft identified by a specific name.
-
B.
usedInAviation
Indicates that something is employed or applied within the field or context of aviation.
-
C.
primaryAircraftRole
Indicates the main operational function or mission type an aircraft is primarily designed or used to perform.
-
D.
typicalPilotPosition
Indicates the usual or standard spatial position or placement where a pilot is located relative to the associated object or system.
-
E.
crewType
chosen
Indicates the specific role or category of crew associated with an entity, such as the type of personnel assigned to operate or support it.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.