Triple
T6259071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Falls (Rochester) |
E140247
|
entity |
| Predicate | waterFlowRegulation |
P47358
|
FINISHED |
| Object | partially regulated by upstream dams |
—
|
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: partially regulated by upstream dams | Statement: [High Falls (Rochester), waterFlowRegulation, partially regulated by upstream dams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterFlowRegulation Context triple: [High Falls (Rochester), waterFlowRegulation, partially regulated by upstream dams]
-
A.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
B.
managesWaterFrom
Indicates that one entity is responsible for controlling, directing, or handling water originating from another entity.
-
C.
watercourseControlled
Indicates that one entity exercises control, regulation, or management over a watercourse (such as a river, stream, or canal).
-
D.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
E.
riverControl
chosen
Indicates a relationship where one entity manages, regulates, or exerts authority over the flow, usage, or conditions of a river.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06367e0b48190967ebfb9bfbc9732 |
completed | March 22, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c05605566c81908e197f5accd072d2 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.