Triple
T12526163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Stand |
E299445
|
entity |
| Predicate | rotationCapability |
P7284
|
FINISHED |
| Object | landscape to portrait |
—
|
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: landscape to portrait | Statement: [Pro Stand, rotationCapability, landscape to portrait]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rotationCapability Context triple: [Pro Stand, rotationCapability, landscape to portrait]
-
A.
isRotational
Indicates that one entity moves, transforms, or is oriented by rotating around a point, axis, or center relative to another.
-
B.
rotationType
chosen
Indicates the specific kind or mode of rotational movement or orientation applied in a given context.
-
C.
rotationSense
Indicates the direction or orientation in which an object or system rotates relative to a defined reference frame.
-
D.
tiltingCapability
Indicates the ability of one entity to tilt or be tilted relative to another or to a reference orientation.
-
E.
hasRotation
Indicates that one entity is rotated with respect to another, or possesses a specific rotational orientation or motion.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.