Triple
T4511118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bull Run Watershed |
E102055
|
entity |
| Predicate | receivesPrecipitationAs |
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: [Bull Run Watershed, receivesPrecipitationAs, rain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivesPrecipitationAs Context triple: [Bull Run Watershed, receivesPrecipitationAs, rain]
-
A.
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).
-
B.
averageAnnualPrecipitation
Indicates the typical total amount of precipitation an entity receives over the course of a year, averaged across multiple years.
-
C.
receivesMoistureFrom
Indicates that one entity obtains or is supplied with moisture (such as water, humidity, or precipitation) from another entity.
-
D.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
E.
hasExtremeWeatherCharacteristic
Indicates that something possesses a notable or defining feature related to extreme weather conditions.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5712b9308190876c117b50d12635 |
completed | March 20, 2026, 2:17 p.m. |
| PD | Predicate disambiguation | batch_69bd5218afb4819087c99e0a1f22e137 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:01 p.m.