Triple
T10032567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ST Express bus |
E204884
|
entity |
| Predicate | hasStopAt |
P17789
|
FINISHED |
| Object | Federal Way |
E216189
|
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: Federal Way | Statement: [ST Express bus, hasStopAt, Federal Way]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Federal Way Context triple: [ST Express bus, hasStopAt, Federal Way]
-
A.
Federal Way
chosen
Federal Way is a suburban city in Washington State located between Seattle and Tacoma, known for its residential communities, parks, and proximity to Puget Sound.
-
B.
Lynnwood
Lynnwood is a suburban city in Snohomish County, Washington, known as a major retail and residential hub just north of Seattle.
-
C.
Edmonds
Edmonds is an English-origin surname borne by various notable individuals in sports, politics, and the arts.
-
D.
Edmonds, Washington
Edmonds, Washington is a coastal city in Snohomish County known for its Puget Sound waterfront, ferry terminal, and role as a commuter hub north of Seattle.
-
E.
Kirkland
Kirkland is a surname most notably associated with American ballerina Gelsey Kirkland.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce47845c8190ab5696267fdedcad |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fc3f9608190b4472b2b87009cca |
completed | April 9, 2026, 7:05 a.m. |
Created at: March 30, 2026, 8:54 p.m.