Triple
T13674287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portland General Electric |
E327830
|
entity |
| Predicate | hasServiceTerritory |
P104835
|
FINISHED |
| Object | northwestern Oregon |
—
|
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: northwestern Oregon | Statement: [Portland General Electric, hasServiceTerritory, northwestern Oregon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasServiceTerritory Context triple: [Portland General Electric, hasServiceTerritory, northwestern Oregon]
-
A.
hasServiceAreas
Indicates that an entity provides services within, or is operational across, specific geographic or functional areas.
-
B.
hasPrimaryServiceArea
Indicates that an entity is associated with a main geographic or functional area in which it primarily provides its services.
-
C.
isForTerritory
Indicates that something is intended to define, cover, or apply to a specific territory or geographic area.
-
D.
hasRegionalServices
Indicates that an entity provides or is associated with services that operate within a specific geographic region or set of regions.
-
E.
areaOfService
chosen
Indicates the geographic or functional region within which a service is provided or applicable.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8d8d0881908d6e89954f44eed4 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:53 p.m.