Triple
T25221421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit Dam |
E631973
|
entity |
| Predicate | managesFlowOf |
P124643
|
FINISHED |
| Object | North Santiam 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: North Santiam River | Statement: [Detroit Dam, managesFlowOf, North Santiam River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managesFlowOf Context triple: [Detroit Dam, managesFlowOf, North Santiam River]
-
A.
managesFlowTo
Indicates that one entity controls, regulates, or directs the movement or distribution of something (such as data, resources, or materials) to another entity.
-
B.
managesFlowsFor
Indicates that one entity is responsible for overseeing, controlling, or coordinating the flows or flow-related processes of another entity.
-
C.
regulatesFlowBetween
Indicates a relationship where one entity controls, directs, or modulates the movement or transfer of something (such as material, energy, or information) between two other entities.
-
D.
regulatesFlowFor
chosen
Indicates that one entity controls, directs, or manages the rate or movement of another entity’s flow.
-
E.
flowsAt
Indicates that a fluid or substance moves through or along a specific location, point, or region.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 1:03 p.m.