Triple
T7995669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascata delle Marmore |
E186116
|
entity |
| Predicate | waterFlowControlledBy |
P68423
|
FINISHED |
| Object | hydroelectric plant |
—
|
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: hydroelectric plant | Statement: [Cascata delle Marmore, waterFlowControlledBy, hydroelectric plant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterFlowControlledBy Context triple: [Cascata delle Marmore, waterFlowControlledBy, hydroelectric plant]
-
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.
riverControl
Indicates a relationship where one entity manages, regulates, or exerts authority over the flow, usage, or conditions of a river.
-
D.
hasWaterControlRole
Indicates that an entity holds a role or responsibility related to managing, regulating, or overseeing water resources or water systems.
-
E.
watercourseControlled
chosen
Indicates that one entity exercises control, regulation, or management over a watercourse (such as a river, stream, or canal).
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c7547dc8190a60a06b3d61764b0 |
completed | March 31, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:17 p.m.