Triple
T31224090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavour-class aircraft carrier |
E796089
|
entity |
| Predicate | hasSkiJumpAngleApproximate |
P45742
|
FINISHED |
| Object | 12 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: 12 degrees | Statement: [Cavour-class aircraft carrier, hasSkiJumpAngleApproximate, 12 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkiJumpAngleApproximate Context triple: [Cavour-class aircraft carrier, hasSkiJumpAngleApproximate, 12 degrees]
-
A.
skiJumpAngle
chosen
Indicates the angle at which a ski jump is performed or oriented relative to a reference plane or direction.
-
B.
hasSkiableArea
Indicates that an entity possesses an area of terrain that can be used for skiing.
-
C.
hasSkiFlyingHill
Indicates that an entity possesses or includes a ski flying hill as one of its features or facilities.
-
D.
hasSkiAreaVerticalDrop
Indicates the vertical distance in elevation between the highest and lowest points of a ski area.
-
E.
hasCliffJumping
Indicates that an entity offers, features, or is associated with the activity of cliff jumping.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:10 p.m.