Triple
T8351349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sud Aviation Caravelle |
E196165
|
entity |
| Predicate | fuselagePosition |
P82234
|
FINISHED |
| Object | low-wing |
—
|
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: low-wing | Statement: [Sud Aviation Caravelle, fuselagePosition, low-wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fuselagePosition Context triple: [Sud Aviation Caravelle, fuselagePosition, low-wing]
-
A.
fuselageShape
Indicates the geometric form or contour of an object's fuselage, describing how its main body is shaped.
-
B.
fuselageType
Indicates the specific structural or design category of an aircraft’s fuselage that an entity belongs to or uses.
-
C.
fuselageCount
Indicates the number of fuselages associated with or contained in an aircraft or aerospace structure.
-
D.
fuselageDiameter
Indicates the diameter measurement of an aircraft’s fuselage in the described context.
-
E.
fuselageStretchRelativeToMAX8
Indicates the amount by which an aircraft’s fuselage length is increased or decreased relative to the 737 MAX 8 configuration.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8019fb308190a3edc744bd473a5b |
completed | March 31, 2026, 8:04 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:59 p.m.