Triple
T22143768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaver Marsh |
E547232
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Summit County |
—
|
NE NERFINISHED |
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: Summit County | Statement: [Beaver Marsh, county, Summit County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Summit County Context triple: [Beaver Marsh, county, Summit County]
-
A.
Summit County
Summit County is the name of several counties in the United States, most notably a popular outdoor recreation and ski destination in Colorado and a rapidly growing county in northeastern Ohio.
-
B.
Summit County
Summit County is a county in northeastern Ohio, best known for its county seat and largest city, Akron.
-
C.
Summit County
Summit County is a mountainous county in northeastern Utah known for its ski resorts, outdoor recreation, and the city of Park City.
-
D.
Summit County
Summit County is a mountainous county in central Colorado known for its high peaks, ski resorts, and outdoor recreation opportunities.
-
E.
Douglas County
Douglas County is a county in southwestern Oregon known for its timber industry, scenic landscapes, and the city of Roseburg as its county seat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129c045448190b3d189cdb8c0d2fd |
completed | April 28, 2026, 9:42 p.m. |
Created at: April 16, 2026, 8:32 p.m.