Triple
T22347716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown County, Ohio |
E552437
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Mt. Orab, Ohio |
—
|
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: Mt. Orab, Ohio | Statement: [Brown County, Ohio, hasSettlement, Mt. Orab, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mt. Orab, Ohio Context triple: [Brown County, Ohio, hasSettlement, Mt. Orab, Ohio]
-
A.
Mt. Orab, Ohio
chosen
Mt. Orab, Ohio is a small village in Brown County known as a local commercial hub along U.S. Route 32 in southwestern Ohio.
-
B.
Mount Gilead, Ohio
Mount Gilead, Ohio is a small village in Morrow County known as the birthplace of novelist Dawn Powell and for its historic Midwestern small-town character.
-
C.
Mount Healthy, Ohio
Mount Healthy, Ohio is a small suburban city near Cincinnati known historically as a 19th-century rural community and the birthplace of American painter Elizabeth Nourse.
-
D.
Moraine, Ohio
Moraine, Ohio is a small industrial city near Dayton known for its history of automobile manufacturing and assembly plants.
-
E.
Obetz, Ohio
Obetz, Ohio is a small village in central Ohio known for its proximity to Columbus and its mix of residential neighborhoods, industrial facilities, and logistics centers.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157995bec819080b8d05fa88704ed |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:43 p.m.