Triple
T5314675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sacramento River Basin |
E119116
|
entity |
| Predicate | primaryPrecipitationForm |
P36155
|
FINISHED |
| Object | rain |
—
|
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: rain | Statement: [Sacramento River Basin, primaryPrecipitationForm, rain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryPrecipitationForm Context triple: [Sacramento River Basin, primaryPrecipitationForm, rain]
-
A.
primaryRainfallSource
Indicates that one entity is the main origin or contributing source of rainfall for another entity or region.
-
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.
primaryFormation
Indicates that one entity serves as the main or original formation or structural configuration associated with another entity.
-
D.
previousHydrologicalType
Indicates the hydrological classification or condition that applied to a water body or hydrological feature immediately before its current type or state.
-
E.
averageAnnualPrecipitation
Indicates the typical total amount of precipitation an entity receives over the course of a year, averaged across multiple years.
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84534f9c8190bc19d4812060768d |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:54 p.m.