Triple
T21527599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lhotse Face |
E531135
|
entity |
| Predicate | slopeAngleRange |
P144719
|
FINISHED |
| Object | 40 to 50 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: 40 to 50 degrees | Statement: [Lhotse Face, slopeAngleRange, 40 to 50 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slopeAngleRange Context triple: [Lhotse Face, slopeAngleRange, 40 to 50 degrees]
-
A.
slopeAspect
Indicates the compass direction that a slope or surface is facing.
-
B.
slopeAngleUpperSection
Indicates the angle of inclination of the upper section of a surface or structure relative to a reference plane.
-
C.
slopeAngleLowerSection
Indicates the angle of inclination of the lower section of an object or surface relative to a reference plane or direction.
-
D.
inclinationAngle
Indicates the angle at which one object or reference frame is tilted or inclined relative to another specified baseline or plane.
-
E.
upperSlopeAngle
Indicates the angle of the slope on the upper portion of an object or surface relative to a reference plane or direction.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee88522e948190b9fa5a3587f32eae |
completed | April 26, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:26 p.m.