Triple
T22171390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Handley |
E547925
|
entity |
| Predicate | aircraftSizeClass |
P147247
|
FINISHED |
| Object | very large bomber |
—
|
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: very large bomber | Statement: [Super Handley, aircraftSizeClass, very large bomber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftSizeClass Context triple: [Super Handley, aircraftSizeClass, very large bomber]
-
A.
aircraftSpeedClass
Indicates the categorical speed range or performance class to which an aircraft’s speed belongs.
-
B.
airlineSizeDescriptor
Indicates how large or small an airline is, typically in terms of its scale, capacity, or operational scope.
-
C.
aircraftType
Indicates the specific model or category of aircraft associated with an entity or event.
-
D.
takeoffWeightClass
Indicates the classification of an aircraft or vehicle based on its weight at the time of takeoff.
-
E.
aircraftLength
Indicates the physical longitudinal measurement of an aircraft from its nose to its tail.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a68c26c8190b1258595bd96cb63 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:34 p.m.