Triple
T28424498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevado de Santa Isabel |
E720035
|
entity |
| Predicate | snowlineTrend |
P164713
|
FINISHED |
| Object | rising |
—
|
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: rising | Statement: [Nevado de Santa Isabel, snowlineTrend, rising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: snowlineTrend Context triple: [Nevado de Santa Isabel, snowlineTrend, rising]
-
A.
snowLine
Indicates the altitude or boundary on a mountain or region above which snow persists year-round or seasonally.
-
B.
topographicTrend
Indicates the general directional orientation or alignment of a topographic feature (such as a ridge, valley, or slope) across the landscape.
-
C.
slopeType
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
D.
iceVolumeTrend
Indicates the direction and rate at which the volume of ice is changing over time.
-
E.
snowCover
Indicates that one entity is covered by or blanketed with snow.
- 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 1:35 a.m.