Triple
T16321586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spiegel Grove |
E396304
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Sandusky County |
E229346
|
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: Sandusky County | Statement: [Spiegel Grove, county, Sandusky County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandusky County Context triple: [Spiegel Grove, county, Sandusky County]
-
A.
Coshocton County
Coshocton County is a county in east-central Ohio known for its historic canal-era heritage, small-town communities, and largely rural landscape.
-
B.
Stark County
Stark County is a county in northeastern Ohio known for its seat in Canton and its role in the region’s industrial and political history.
-
C.
Stark County
Stark County is a county in southwestern North Dakota known for its seat in Dickinson and its role as a regional hub for agriculture, energy, and transportation.
-
D.
Sandusky County, Ohio
chosen
Sandusky County, Ohio is a county in northwestern Ohio known for its county seat of Fremont and its location along the Sandusky River near Lake Erie.
-
E.
Antrim County
Antrim County is a rural county in the northwestern Lower Peninsula of Michigan, known for its lakes, forests, and outdoor recreation.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b706108190b43a05b784633050 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260904748190ae1eb5713a6daa68 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.