Triple
T35017186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aero Vodochody |
E1010083
|
entity |
| Predicate | L-159ALCARole |
P182013
|
FINISHED |
| Object | light 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: light combat aircraft | Statement: [Aero Vodochody, L-159ALCARole, light combat aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: L-159ALCARole Context triple: [Aero Vodochody, L-159ALCARole, light combat aircraft]
-
A.
isHelicopterVariantOf
Indicates that one helicopter model is a modified or derived version of another helicopter model.
-
B.
Me 262Distinction
Indicates a distinguishing feature, status, or notable characteristic associated with the Me 262.
-
C.
isHelicopterOf
Indicates that one entity is a helicopter that belongs to, is operated by, or is otherwise associated with another entity.
-
D.
aircraftTrainedOn
Indicates that an aircraft has been used as the platform or subject for training a person or crew in its operation or related skills.
-
E.
tugAircraft
Indicates that one entity tows or pulls an aircraft, typically using a tug vehicle or similar equipment.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.