Triple
T18309905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Bryan State Park |
E438593
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Clifton, 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: Clifton, Ohio | Statement: [John Bryan State Park, near, Clifton, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clifton, Ohio Context triple: [John Bryan State Park, near, Clifton, Ohio]
-
A.
Clifton, Ohio
chosen
Clifton, Ohio is a small historic village in southwestern Ohio known for its proximity to Clifton Gorge and the Little Miami River.
-
B.
Clayton, Ohio
Clayton, Ohio is a small city in Montgomery County that forms part of the Dayton metropolitan area.
-
C.
Clyde, Ohio
Clyde, Ohio is a small city in Sandusky County best known as the childhood home and inspiration for many works of American writer Sherwood Anderson.
-
D.
Crestline, Ohio
Crestline, Ohio is a small village in north-central Ohio known historically as a railroad community and situated partly in Crawford County.
-
E.
Englewood, Ohio
Englewood, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e502180d208190ae7c4f3d0ef3dc55 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.