Triple
T14575079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knox County, Ohio |
E342020
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Mount Vernon, 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: Mount Vernon, Ohio | Statement: [Knox County, Ohio, hasCity, Mount Vernon, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Vernon, Ohio Context triple: [Knox County, Ohio, hasCity, Mount Vernon, Ohio]
-
A.
Mount Vernon, Ohio
chosen
Mount Vernon, Ohio is a small historic city in central Ohio that serves as the county seat of Knox County and a regional hub for education, commerce, and transportation.
-
B.
Woodmere, Ohio
Woodmere, Ohio is a small suburban village in Cuyahoga County known for its upscale retail and commercial corridor along Chagrin Boulevard.
-
C.
Versailles, Ohio
Versailles, Ohio is a small village in Darke County known for its agricultural community, historic charm, and annual Poultry Days festival.
-
D.
Jeromesville, Ohio
Jeromesville, Ohio is a small village located in north-central Ohio that is part of the Ashland County region.
-
E.
Whitehouse, Ohio
Whitehouse, Ohio is a small village in northwest Ohio known for its suburban-rural character and proximity to the city of Toledo.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f49d58819094fcd2a702e146cb |
completed | April 14, 2026, 9:39 p.m. |
Created at: April 10, 2026, 1:24 a.m.