Triple
T13376488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 82 |
E319199
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Hermiston, Oregon |
E426916
|
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: Hermiston, Oregon | Statement: [Interstate 82, connectsCity, Hermiston, Oregon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hermiston, Oregon Context triple: [Interstate 82, connectsCity, Hermiston, Oregon]
-
A.
Hermiston, Oregon
chosen
Hermiston, Oregon is a small city in northeastern Oregon known as an agricultural and transportation hub in the Columbia Basin.
-
B.
Aumsville, Oregon
Aumsville, Oregon is a small city in the Willamette Valley region of western Oregon, located southeast of Salem.
-
C.
Sutherlin, Oregon
Sutherlin, Oregon is a small city in western Oregon known for its proximity to Interstate 5, outdoor recreation, and its location in the Umpqua Valley wine region.
-
D.
Milton-Freewater, Oregon
Milton-Freewater, Oregon is a small agricultural city in northeastern Oregon known for its orchards and proximity to the Walla Walla Valley wine region.
-
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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce3fec48190a5443d87c85477a3 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f754734db081909f262fa2325b7e6d |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:33 p.m.