Triple
T35041893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Journey Behind the Falls |
E1011091
|
entity |
| Predicate | waterFlowViewed |
P195012
|
FINISHED |
| Object | Niagara River |
—
|
NE NERFINISHED |
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: Niagara River | Statement: [Journey Behind the Falls, waterFlowViewed, Niagara River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterFlowViewed Context triple: [Journey Behind the Falls, waterFlowViewed, Niagara River]
-
A.
waterFlowsThrough
Indicates that water moves along a path or channel passing from one location or object to another.
-
B.
waterFlowRate
Indicates the rate at which water moves or is transported through a given point or system over time.
-
C.
waterFunction
Indicates that one entity serves a particular role, purpose, or function in relation to water (e.g., how it uses, manages, affects, or interacts with water).
-
D.
waterFlowDependsOn
Indicates that the occurrence, direction, or amount of water flow is determined or constrained by another specified factor or condition.
-
E.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69fd974c0e8481909fdd312897c647b3 |
completed | May 8, 2026, 7:57 a.m. |
Created at: May 3, 2026, 4:01 p.m.