Triple
T12114549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Washington Institute of Technology |
E288521
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Kirkland |
E53403
|
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: Kirkland | Statement: [Lake Washington Institute of Technology, city, Kirkland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirkland Context triple: [Lake Washington Institute of Technology, city, Kirkland]
-
A.
Kirkland
Kirkland is a suburban town located on the Island of Montreal in the Canadian province of Quebec.
-
B.
Kirkland
Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
-
C.
Kirklands
chosen
Kirklands is a variant name that most commonly refers to Kirkland, a city in Washington State and a private-label brand used by Costco.
-
D.
Lynnwood
Lynnwood is a suburban city in Snohomish County, Washington, known as a major retail and residential hub just north of Seattle.
-
E.
Edmonds
Edmonds is an English-origin surname borne by various notable individuals in sports, politics, and the arts.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156921dc8190aa132b0ab3a7c184 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8bcbb34819088c21d79357eef8a |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 8, 2026, 9:49 p.m.