Triple
T88518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon |
E1778
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Eugene |
E21348
|
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: Eugene | Statement: [Oregon, hasMajorCity, Eugene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eugene Context triple: [Oregon, hasMajorCity, Eugene]
-
A.
Eugene, Oregon
chosen
Eugene, Oregon is a mid-sized city in western Oregon known for its vibrant arts scene, outdoor recreation, and the University of Oregon.
-
B.
Salem, Oregon
Salem, Oregon is the capital city of the U.S. state of Oregon, known as a regional center for government, education, and agriculture in the Willamette Valley.
-
C.
Newport, Oregon
Newport, Oregon is a coastal city on the central Oregon coast known for its working waterfront, marine research institutions, and popular attractions like the Oregon Coast Aquarium.
-
D.
Fremont
Fremont is a large suburban city in the San Francisco Bay Area known for its diverse population, tech industry presence, and proximity to Silicon Valley.
-
E.
Everett
Everett is a surname of English origin borne by various notable individuals, including American politician and orator Edward Everett.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24f6997c081908b202f937eb2b14f |
completed | Feb. 28, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a38b87ff148190b289118d1a513c2d |
completed | March 1, 2026, 12:42 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.