Triple
T31008533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elwha Dam |
E790140
|
entity |
| Predicate | impactOfRemoval |
P85880
|
FINISHED |
| Object | restoration of fish passage on Elwha River |
—
|
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 fish passage on Elwha River | Statement: [Elwha Dam, impactOfRemoval, restoration of fish passage on Elwha River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfRemoval Context triple: [Elwha Dam, impactOfRemoval, restoration of fish passage on Elwha River]
-
A.
impactStatus
Indicates the current state or condition of how something has affected or influenced a target.
-
B.
impactOfExtinction
Indicates the consequences or effects that the extinction of an entity has on other entities, systems, or conditions.
-
C.
impactDescription
Indicates a description of the effect, consequence, or influence that one entity, action, or event has on another.
-
D.
impactIfCompleted
Indicates the effect or consequence that will occur if the referenced task or action is fully completed.
-
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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 29, 2026, 8:57 p.m.