Triple
T22988484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highline College |
E571981
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Des Moines, Washington |
—
|
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: Des Moines, Washington | Statement: [Highline College, locatedIn, Des Moines, Washington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Des Moines, Washington Context triple: [Highline College, locatedIn, Des Moines, Washington]
-
A.
Des Moines, Washington
chosen
Des Moines, Washington is a small waterfront city in King County on Puget Sound, located south of Seattle and near Seattle–Tacoma International Airport.
-
B.
Hamilton, Washington
Hamilton, Washington is a small rural community in Skagit County known for its location along the Skagit River and its history of frequent flooding.
-
C.
Springfield, Washington
Springfield, Washington is a small unincorporated community in Skagit County in the U.S. state of Washington.
-
D.
Davenport, Washington
Davenport, Washington is a small rural city in eastern Washington that serves as the administrative and commercial hub of Lincoln County.
-
E.
Monroe, Washington
Monroe, Washington is a small city in Snohomish County known for its location in the Skykomish River Valley, its historic downtown, and proximity to outdoor recreation in the Cascade foothills.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1829b4ea88190bc1a01183df7a1bb |
completed | April 29, 2026, 4:01 a.m. |
Created at: April 17, 2026, 3:49 p.m.