Triple
T10088554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King County Metro |
E215282
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Tukwila, Washington |
E62842
|
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: Tukwila, Washington | Statement: [King County Metro, serves, Tukwila, Washington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tukwila, Washington Context triple: [King County Metro, serves, Tukwila, Washington]
-
A.
Tukwila
chosen
Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
-
B.
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.
-
C.
Royal City, Washington
Royal City, Washington is a small agricultural town in central Washington State known for its orchards and farming-based economy.
-
D.
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.
-
E.
Tacoma, Washington
Tacoma, Washington is a mid-sized port city in the Pacific Northwest known for its waterfront, industrial history, and vibrant arts and museum scene.
- 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_69ca83a1eed081908b2e9580f2ebeea7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd057e32881908bf630559af94906 |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23aeb6f9c8190a986af35bcf353f7 |
completed | April 17, 2026, 1:51 p.m. |
Created at: March 30, 2026, 9:01 p.m.