Triple
T413057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-Mobile Park |
E9532
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | SoDo, Seattle |
E37740
|
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: SoDo, Seattle | Statement: [T-Mobile Park, locatedIn, SoDo, Seattle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SoDo, Seattle Context triple: [T-Mobile Park, locatedIn, SoDo, Seattle]
-
A.
SoDo, Seattle
chosen
SoDo is an industrial and entertainment district just south of downtown Seattle, known for its stadiums, warehouses, and arts spaces.
-
B.
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.
-
C.
downtown Seattle
Downtown Seattle is the city’s central urban core, known for its dense cluster of offices, shops, cultural attractions, and waterfront views on Elliott Bay.
-
D.
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.
-
E.
Bellevue
Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecdc422881908910428fd1aee7c6 |
completed | Feb. 28, 2026, 1:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a41b4b71ec8190a6fda4dc4e4fc3ac |
completed | March 1, 2026, 10:56 a.m. |
Created at: Feb. 28, 2026, 1:09 p.m.