Triple
T570771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic National Park |
E13657
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Jefferson County |
E44668
|
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: Jefferson County | Statement: [Olympic National Park, county, Jefferson County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jefferson County Context triple: [Olympic National Park, county, Jefferson County]
-
A.
Jefferson County
chosen
Jefferson County is a county on Washington State’s Olympic Peninsula, known for its rugged Pacific coastline, portions of Olympic National Park, and maritime communities such as Port Townsend.
-
B.
Wayne County
Wayne County is a populous county in southeastern Michigan that includes the city of Detroit and serves as a major industrial and cultural hub of the state.
-
C.
Madison County
Madison County is a county in central Mississippi, located in the Jackson metropolitan area and known for its rapidly growing suburban communities.
-
D.
Lawrence County
Lawrence County is a county in western Pennsylvania that forms part of the greater Pittsburgh metropolitan region.
-
E.
Jefferson County, Alabama
Jefferson County, Alabama is an urban county in north-central Alabama that includes Birmingham, the state’s largest city and a major industrial and economic center.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b483ac08190b3be152a7cf42011 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a50e219c788190888ef02fad09096e |
completed | March 2, 2026, 4:12 a.m. |
Created at: March 1, 2026, 7:33 p.m.