Triple
T28766792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nguru Mountains |
E726292
|
entity |
| Predicate | cloudCover |
P54596
|
FINISHED |
| Object | frequent orographic cloud formation |
—
|
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: frequent orographic cloud formation | Statement: [Nguru Mountains, cloudCover, frequent orographic cloud formation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cloudCover Context triple: [Nguru Mountains, cloudCover, frequent orographic cloud formation]
-
A.
snowCover
Indicates that one entity is covered by or blanketed with snow.
-
B.
summitOftenCloudCovered
chosen
Indicates that the summit of something is frequently or typically covered by clouds.
-
C.
skyCoverageUnit
Indicates the unit of measurement used to express the extent or fraction of sky coverage.
-
D.
darkSkyRecognition
Indicates formal recognition that a location meets specific criteria for dark sky quality, such as minimal light pollution and suitability for stargazing or astronomical observation.
-
E.
skyBeamVisibility
Indicates that a skyward-directed beam (such as a light or energy beam) is visible from a given location or viewpoint.
- 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_69f03198be14819098fa74e48b3749bf |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f658ee40088190b71e1219407690d0 |
completed | May 2, 2026, 8:05 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:14 a.m.