Triple
T11391676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der Rote Kampfflieger |
E269855
|
entity |
| Predicate | associatedWithAircraftColor |
P99059
|
FINISHED |
| Object | red-painted 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: red-painted aircraft | Statement: [Der Rote Kampfflieger, associatedWithAircraftColor, red-painted aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAircraftColor Context triple: [Der Rote Kampfflieger, associatedWithAircraftColor, red-painted aircraft]
-
A.
associatedWithAircraftModel
Indicates that something has a specified relationship or connection to a particular aircraft model.
-
B.
carrierAircraft
Indicates that an aircraft is designed, equipped, or used to operate from an aircraft carrier.
-
C.
associatedWithMuseumAircraft
Indicates a relationship where an aircraft is connected to, displayed by, or otherwise part of a museum’s collection or exhibits.
-
D.
aircraftMostAssociatedWith
Indicates the aircraft that is most strongly or commonly linked to, used by, or representative of a given entity compared to other aircraft.
-
E.
usedByAircraftRegisteredIn
Indicates that something (such as equipment, a system, or a facility) is utilized by aircraft that are registered in a specified jurisdiction or registry.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001796f48190822526f52e3f0337 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:34 p.m.