Triple
T9181147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umpqua River |
E220331
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Elkton, Oregon |
E232649
|
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: Elkton, Oregon | Statement: [Umpqua River, flowsNear, Elkton, Oregon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elkton, Oregon Context triple: [Umpqua River, flowsNear, Elkton, Oregon]
-
A.
Elkton, Oregon
chosen
Elkton, Oregon is a small rural community in southwestern Oregon known for its scenic Umpqua River setting, wineries, and outdoor recreation.
-
B.
Elgin, Oregon
Elgin, Oregon is a small city in northeastern Oregon known as a gateway to the Wallowa Mountains and surrounding agricultural and timber regions.
-
C.
Pendleton, Oregon
Pendleton, Oregon is a small city in northeastern Oregon known for its historic woolen mills, Native American cultural heritage, and the annual Pendleton Round-Up rodeo.
-
D.
Bay City, Oregon
Bay City, Oregon is a small coastal town on Tillamook Bay known for its fishing, seafood, and scenic views along the northern Oregon coast.
-
E.
Brownsville, Oregon
Brownsville, Oregon is a small historic city in the Willamette Valley known for its 19th-century architecture and as a filming location for the movie "Stand by Me."
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc25379008190b8ca047efe3bb7bb |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c0eeb0c8190a5a22c662726805c |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:23 p.m.