Triple
T8596072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riverside, Ohio |
E203548
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Huber Heights, Ohio |
E201786
|
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: Huber Heights, Ohio | Statement: [Riverside, Ohio, borderedBy, Huber Heights, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huber Heights, Ohio Context triple: [Riverside, Ohio, borderedBy, Huber Heights, Ohio]
-
A.
Huber Heights, Ohio
chosen
Huber Heights, Ohio is a suburban city in the Dayton metropolitan area known for its residential communities and location within the Miami Valley region.
-
B.
Sagamore Hills, Ohio
Sagamore Hills, Ohio is a suburban community in northeastern Ohio known for its proximity to outdoor recreation areas, including nearby ski and nature destinations.
-
C.
Westerville, Ohio
Westerville, Ohio is a suburban city northeast of Columbus known for its historic Uptown district, strong public schools, and status as home to Otterbein University.
-
D.
Hillsboro, Ohio
Hillsboro, Ohio is a small city in Highland County known as a regional hub for the surrounding rural communities of southwestern Ohio.
-
E.
Blue Ash, Ohio
Blue Ash, Ohio is a suburban city in the Cincinnati metropolitan area known for its corporate offices, parks, and regional airport.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c945dc8190a313c61c0db46187 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc839cdc819093c3cd0e44f173a2 |
completed | April 2, 2026, 8:07 p.m. |
Created at: March 30, 2026, 6:23 p.m.