Triple
T21772280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BT-9 trainer |
E537462
|
entity |
| Predicate | usedToPreparePilotsFor |
P145904
|
FINISHED |
| Object | more complex combat 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: more complex combat aircraft | Statement: [BT-9 trainer, usedToPreparePilotsFor, more complex combat aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToPreparePilotsFor Context triple: [BT-9 trainer, usedToPreparePilotsFor, more complex combat aircraft]
-
A.
usedByPilotsOf
Indicates that something is utilized or operated by pilots belonging to a particular aircraft, organization, or group.
-
B.
pilotFor
Indicates that one entity serves as the pilot operating or navigating a vehicle, aircraft, or vessel on behalf of another entity (such as an organization, mission, or owner).
-
C.
hasPilot
Indicates that an entity is operated or controlled by a specific pilot.
-
D.
pilotDirector
Indicates that one entity serves as the director of the pilot episode or initial installment of another entity (such as a series or project).
-
E.
notablePilot
Indicates that an entity is a distinguished or noteworthy pilot associated with another entity (such as a vehicle, event, or organization).
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031af6a488190a2dcebed43d199d4 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 6:51 p.m.