Triple
T18420316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Castle Magic |
E442003
|
entity |
| Predicate | inspiredByLocation |
P14480
|
FINISHED |
| Object | Seattle area, Washington, United States |
—
|
NE NERFINISHED |
How this triple was built (3 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 area, Washington, United States | Statement: [Spanish Castle Magic, inspiredByLocation, Seattle area, Washington, United States]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seattle area, Washington, United States Context triple: [Spanish Castle Magic, inspiredByLocation, Seattle area, Washington, United States]
-
A.
Seattle, Washington, United States
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.
-
B.
Bellevue, Washington, United States
Bellevue, Washington, United States is a major city in the Seattle metropolitan area known for its thriving tech industry, upscale downtown, and role as a regional business and retail hub.
-
C.
Kirkland, Washington, United States
Kirkland, Washington, United States is a suburban city on the eastern shore of Lake Washington near Seattle, known for its waterfront parks, tech industry presence, and association with Costco’s “Kirkland Signature” brand.
-
D.
Renton, Washington, United States
Renton, Washington, United States is a city in the Seattle metropolitan area known for its significant aerospace manufacturing presence and diverse suburban community.
-
E.
Redmond, Washington, United States
Redmond, Washington, United States is a city in the Seattle metropolitan area best known as a major technology hub and the home of Microsoft’s corporate headquarters.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seattle area, Washington, United States Target entity description: The Seattle area in Washington, United States, is a major Pacific Northwest metropolitan region known for its vibrant music scene, technology industry, and distinctive natural surroundings of water, forests, and mountains.
-
A.
Seattle, Washington, United States
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.
-
B.
Bellevue, Washington, United States
Bellevue, Washington, United States is a major city in the Seattle metropolitan area known for its thriving tech industry, upscale downtown, and role as a regional business and retail hub.
-
C.
Kirkland, Washington, United States
Kirkland, Washington, United States is a suburban city on the eastern shore of Lake Washington near Seattle, known for its waterfront parks, tech industry presence, and association with Costco’s “Kirkland Signature” brand.
-
D.
Renton, Washington, United States
Renton, Washington, United States is a city in the Seattle metropolitan area known for its significant aerospace manufacturing presence and diverse suburban community.
-
E.
Redmond, Washington, United States
Redmond, Washington, United States is a city in the Seattle metropolitan area best known as a major technology hub and the home of Microsoft’s corporate headquarters.
- F. None of above. chosen
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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a2b0f0481909c3995bf532162a3 |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.