Triple
T11263838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Route 520 |
E266630
|
entity |
| Predicate | providesRegionalAccessBetween |
P24718
|
FINISHED |
| Object | Bellevue and Redmond |
E552530
|
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: Bellevue and Redmond | Statement: [State Route 520, providesRegionalAccessBetween, Bellevue and Redmond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellevue and Redmond Context triple: [State Route 520, providesRegionalAccessBetween, Bellevue and Redmond]
-
A.
Redmond
Redmond is a growing city in Deschutes County, Oregon, known as a regional hub for transportation, outdoor recreation, and access to Central Oregon’s high desert and Cascade Mountains.
-
B.
City of Redmond
chosen
The City of Redmond is a municipal government in Washington State best known as the home of Microsoft and for its vibrant community events and parks.
-
C.
Kirkland
Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
-
D.
Kirkland
Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
-
E.
Lynnwood
Lynnwood is a suburban city in Snohomish County, Washington, known as a major retail and residential hub just north of Seattle.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e542ab02708190b40a96edd56a6519 |
completed | April 19, 2026, 9:01 p.m. |
Created at: April 8, 2026, 9:31 p.m.