Triple
T16333451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Salmon River |
E396612
|
entity |
| Predicate | resultOfDamRemoval |
P85880
|
FINISHED |
| Object | restoration of natural river flow |
—
|
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: restoration of natural river flow | Statement: [White Salmon River, resultOfDamRemoval, restoration of natural river flow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultOfDamRemoval Context triple: [White Salmon River, resultOfDamRemoval, restoration of natural river flow]
-
A.
damRemovalProject
Indicates a project or initiative undertaken to remove, dismantle, or decommission a dam.
-
B.
demolished
Indicates that one entity completely destroyed or razed another entity, typically a structure or object, so that it no longer exists in its previous form.
-
C.
dissolutionResultedIn
Indicates that the process of dissolution of one entity led to the creation, emergence, or transformation into another entity.
-
D.
typeOfDam
Indicates the specific kind or classification of a dam associated with an entity.
-
E.
damRemovalSignificance
chosen
Indicates the importance or impact of removing a dam within a given environmental, social, or infrastructural context.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e1da1081909bec6e77e6109dce |
completed | April 17, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:07 a.m.