Triple
T22590914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boulevard Saint-Jean |
E564945
|
entity |
| Predicate | runsThrough |
P416
|
FINISHED |
| Object | Kirkland |
—
|
NE NERFINISHED |
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: Kirkland | Statement: [Boulevard Saint-Jean, runsThrough, Kirkland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirkland Context triple: [Boulevard Saint-Jean, runsThrough, Kirkland]
-
A.
Kirkland
Kirkland is a suburban city on the eastern shore of Lake Washington in Washington State, known for its waterfront parks, vibrant downtown, and role as part of the Seattle metropolitan area.
-
B.
Kirkland
Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
-
C.
Kirkland
chosen
Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
-
D.
Kirklands
Kirklands is a variant name that most commonly refers to Kirkland, a city in Washington State and a private-label brand used by Costco.
-
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 (2 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16160651081909d23735336fd7a16 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:48 p.m.