Triple
T14557647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Shining Pyramid |
E341584
|
entity |
| Predicate | slopeAngleLowerSection |
P114674
|
FINISHED |
| Object | about 54 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: about 54 degrees | Statement: [Southern Shining Pyramid, slopeAngleLowerSection, about 54 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slopeAngleLowerSection Context triple: [Southern Shining Pyramid, slopeAngleLowerSection, about 54 degrees]
-
A.
lowerInclinationAngle
Indicates that one entity has a smaller or more downward-tilted inclination angle compared to another entity.
-
B.
slopeAspect
Indicates the compass direction that a slope or surface is facing.
-
C.
lowerSectionType
Indicates the specific type or category assigned to the lower section of an object, structure, or entity in a larger whole.
-
D.
dropAngle
Indicates the angle at which something is dropped or released relative to a reference direction or surface.
-
E.
leanAngle
Indicates the degree to which an entity is tilted or inclined away from a reference upright position.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3881b788190922932fb8ff81160 |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb5ac548190932f238e37271741 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:23 a.m.