Triple
T16212594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Water & Electric Board |
E393503
|
entity |
| Predicate | usesGenerationResource |
P22475
|
FINISHED |
| Object | regional hydroelectric projects |
—
|
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: regional hydroelectric projects | Statement: [Eugene Water & Electric Board, usesGenerationResource, regional hydroelectric projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesGenerationResource Context triple: [Eugene Water & Electric Board, usesGenerationResource, regional hydroelectric projects]
-
A.
hasGenerationRelationship
Indicates that one entity is involved in producing, creating, or giving rise to another entity.
-
B.
belongsToGeneration
Indicates that an entity is associated with, classified within, or a member of a particular generation or generational group.
-
C.
hasTypeOfGeneration
Indicates that one entity is characterized by or associated with a particular kind or method of generation.
-
D.
targetGenerationDepicted
Indicates that one entity visually represents or portrays the generation (age cohort) associated with another entity.
-
E.
usedResource
chosen
Indicates that an entity has utilized or consumed a particular resource in performing an action or achieving a result.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f2c1288190bfaed49c364bfa22 |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.