Triple
T451635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bumbershoot Festival |
E7141
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Seattle |
E1640
|
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: Seattle | Statement: [Bumbershoot Festival, location, Seattle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seattle Context triple: [Bumbershoot Festival, location, Seattle]
-
A.
Tukwila
Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
-
B.
Bellevue
Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
-
C.
Seattle, Washington, United States
chosen
Seattle, Washington, United States is a major Pacific Northwest city known for its tech industry, vibrant cultural scene, and iconic landmarks like the Space Needle.
-
D.
Spokane, Washington
Spokane, Washington is a major city in eastern Washington State known for its historic downtown, Riverfront Park, and role as a regional economic and cultural hub of the Inland Northwest.
-
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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef835ae881908884dcc3a46af951 |
completed | Feb. 28, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e0277eb08190984ff5bcb9f349a0 |
completed | March 2, 2026, 12:56 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.