Triple
T12969876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colorado River Basin |
E321362
|
entity |
| Predicate | mainPrecipitationSource |
P69360
|
FINISHED |
| Object | snowpack in the Rocky Mountains |
—
|
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: snowpack in the Rocky Mountains | Statement: [Colorado River Basin, mainPrecipitationSource, snowpack in the Rocky Mountains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainPrecipitationSource Context triple: [Colorado River Basin, mainPrecipitationSource, snowpack in the Rocky Mountains]
-
A.
primaryRainfallSource
Indicates that one entity is the main origin or contributing source of rainfall for another entity or region.
-
B.
primarySnowSource
chosen
Indicates that one entity serves as the main origin or contributor of snow for another entity or location.
-
C.
meteorologicalOrigin
Indicates that one entity originates from, is caused by, or is derived from a particular meteorological or weather-related phenomenon.
-
D.
majorRiverSource
Indicates that one entity is the primary originating source or headwaters location of a major river.
-
E.
associatedWithPrecipitationType
Indicates that there is a relationship between an entity and a specific type or category of precipitation (such as rain, snow, or hail).
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:34 p.m.