Triple
T7020305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Fox University |
E162803
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Newberg |
E311308
|
NE 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: Newberg | Statement: [George Fox University, city, Newberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newberg Context triple: [George Fox University, city, Newberg]
-
A.
Newberg, Oregon
chosen
Newberg, Oregon is a small city in the Willamette Valley known for its wine industry, historic charm, and proximity to Portland.
-
B.
Aumsville, Oregon
Aumsville, Oregon is a small city in the Willamette Valley region of western Oregon, located southeast of Salem.
-
C.
Tualatin, Oregon
Tualatin, Oregon is a suburban city in the Portland metropolitan area known for its residential communities, retail centers, and proximity to major regional employers.
-
D.
Hillsboro
Hillsboro is a major city in the Portland metropolitan area known as a hub of Oregon’s high-tech industry, often referred to as part of the “Silicon Forest.”
-
E.
Hillsboro
Hillsboro is a small rural town in Pocahontas County, West Virginia, known for its scenic Appalachian setting and historic character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1eab4d4819083230974c361cc74 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b8bf005c81908fef30e26703da76 |
completed | March 28, 2026, 11:17 a.m. |
Created at: March 27, 2026, 2:34 p.m.