Triple
T32948108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahanoy Creek watershed |
E842864
|
entity |
| Predicate | collectsPrecipitationFrom |
P138393
|
FINISHED |
| Object | Mahanoy Creek basin area |
—
|
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: Mahanoy Creek basin area | Statement: [Mahanoy Creek watershed, collectsPrecipitationFrom, Mahanoy Creek basin area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectsPrecipitationFrom Context triple: [Mahanoy Creek watershed, collectsPrecipitationFrom, Mahanoy Creek basin area]
-
A.
collectsRainfallFor
Indicates that one entity gathers or measures rainfall on behalf of, or for the benefit of, another entity.
-
B.
collectsSurfaceWaterFrom
chosen
Indicates that one entity gathers or receives surface water (such as runoff, streams, or overland flow) originating from another entity.
-
C.
hasHigherPrecipitationThan
Indicates that one location or time period experiences a greater amount of precipitation than another.
-
D.
hasHighPrecipitation
Indicates that a location or time period experiences a large amount of precipitation, such as rain or snow, relative to a defined standard or average.
-
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_69f3494a31f481909057136e49b4fe60 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 1, 2026, 1:21 a.m.