Triple
T13376356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lafayette, Oregon |
E319194
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Dayton, Oregon |
E217637
|
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: Dayton, Oregon | Statement: [Lafayette, Oregon, locatedNear, Dayton, Oregon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dayton, Oregon Context triple: [Lafayette, Oregon, locatedNear, Dayton, Oregon]
-
A.
Dayton, Oregon
chosen
Dayton, Oregon is a small historic city in Oregon’s Willamette Valley known for its agricultural surroundings and proximity to regional wine country.
-
B.
Dayton, Washington
Dayton, Washington is a small historic city in southeastern Washington State known for its preserved 19th-century architecture and role as a regional agricultural center.
-
C.
Durham, Oregon
Durham, Oregon is a small suburban city in Washington County, located in the Portland metropolitan area of northwestern Oregon.
-
D.
Stayton, Oregon
Stayton, Oregon is a small city in the Willamette Valley known as a local commercial and residential hub southeast of Salem.
-
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_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_69f72684f3408190952d2619b6b8d241 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.