Triple
T11285592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenmore, Washington |
E267177
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Bothell, Washington |
E273620
|
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: Bothell, Washington | Statement: [Kenmore, Washington, locatedNear, Bothell, Washington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bothell, Washington Context triple: [Kenmore, Washington, locatedNear, Bothell, Washington]
-
A.
Bothell
chosen
Bothell is a suburban city in the Seattle metropolitan area of Washington State, known for its residential communities, parks, and proximity to major tech and biotech hubs.
-
B.
Kirkland
Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
-
C.
Kirkland
Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
-
D.
Woodinville
Woodinville is a small city in King County, Washington, best known for its wineries, breweries, and scenic Sammamish River Valley setting.
-
E.
Lakewood, Washington
Lakewood, Washington is a suburban city in Pierce County known for its proximity to Joint Base Lewis–McChord, multiple lakes, and its role as part of the greater Tacoma metropolitan area.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9855e8881909bd301718cbd8ca1 |
completed | April 9, 2026, 6:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8a4322c8190a30e460892123579 |
completed | April 20, 2026, 8:49 a.m. |
Created at: April 8, 2026, 9:31 p.m.