Triple
T7995670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascata delle Marmore |
E186116
|
entity |
| Predicate | waterFlowSchedule |
P80241
|
FINISHED |
| Object | periodically opened |
—
|
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: periodically opened | Statement: [Cascata delle Marmore, waterFlowSchedule, periodically opened]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterFlowSchedule Context triple: [Cascata delle Marmore, waterFlowSchedule, periodically opened]
-
A.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
B.
waterAllocatedTo
Indicates that a specified amount or portion of water has been designated or assigned for use by a particular entity, location, or purpose.
-
C.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
D.
managesWaterFrom
Indicates that one entity is responsible for controlling, directing, or handling water originating from another entity.
-
E.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:17 p.m.