Triple
T38204956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Lost River basin |
E1009171
|
entity |
| Predicate | typicalPrecipitationForm |
P36155
|
FINISHED |
| Object | snow in higher elevations |
—
|
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: snow in higher elevations | Statement: [Big Lost River basin, typicalPrecipitationForm, snow in higher elevations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPrecipitationForm Context triple: [Big Lost River basin, typicalPrecipitationForm, snow in higher elevations]
-
A.
typicalPrecipitationPattern
Indicates the usual or characteristic pattern of precipitation associated with a place, time period, or climate condition.
-
B.
associatedWithPrecipitationType
chosen
Indicates that there is a relationship between an entity and a specific type or category of precipitation (such as rain, snow, or hail).
-
C.
typicalWeatherFeature
Indicates a weather condition or pattern that commonly characterizes a place or time period.
-
D.
hasPrecipitationCriterion
Indicates that something is subject to, defined by, or must satisfy a specified condition related to precipitation (such as amount, type, or occurrence of rainfall, snow, etc.).
-
E.
hasColdSeasonPrecipitation
Indicates that a location experiences measurable precipitation during its cold season.
- 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_69f76dc94fcc8190bd2f55e81f9d6527 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.