Triple
T18089684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B-47 Stratojet |
E432931
|
entity |
| Predicate | wingSweepAngle |
P21070
|
FINISHED |
| Object | 35 degrees |
—
|
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: 35 degrees | Statement: [B-47 Stratojet, wingSweepAngle, 35 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wingSweepAngle Context triple: [B-47 Stratojet, wingSweepAngle, 35 degrees]
-
A.
wingSweepAngles
chosen
Indicates the angular positions of an entity’s wings relative to a reference axis, typically describing how far the wings are swept forward or backward.
-
B.
wingConfiguration
Indicates how the wings of an aircraft or creature are arranged or structured relative to its body and to each other.
-
C.
wingArea
Indicates the total surface area covered by an entity’s wing or wings.
-
D.
wingSpanVariant
Indicates a relationship where one wing span measurement is a variant or alternative form of another wing span measurement.
-
E.
wingFunction
Indicates the functional role or purpose that a wing serves in enabling certain actions or capabilities.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd17ba98819085a15e8593d98259 |
completed | April 19, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.