Triple
T460494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenny Durkan |
E7325
|
entity |
| Predicate | jurisdiction |
P82
|
FINISHED |
| Object | City of 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: City of Seattle | Statement: [Jenny Durkan, jurisdiction, City of Seattle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Seattle Context triple: [Jenny Durkan, jurisdiction, City of Seattle]
-
A.
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.
-
B.
Tukwila
Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
-
C.
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.
-
D.
Bellevue
Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
-
E.
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.
- 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_69a2e7e5c5bc8190a1dc8178218fba40 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efbd6ed481909ec40f12b5b675c8 |
completed | Feb. 28, 2026, 1:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4ed30d578819091c6c1f4c5eba301 |
completed | March 2, 2026, 1:51 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.