Triple
T12453658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bellevue, Ohio |
E297596
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sandusky, Ohio |
E44706
|
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, Ohio | Statement: [Bellevue, Ohio, locatedNear, Sandusky, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sandusky, Ohio Context triple: [Bellevue, Ohio, locatedNear, Sandusky, Ohio]
-
A.
Sandusky, Ohio
chosen
Sandusky, Ohio is a city on the shores of Lake Erie best known as a regional tourist hub and home to the Cedar Point amusement park.
-
B.
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.
-
C.
Norwalk, Ohio
Norwalk, Ohio is a small city in northern Ohio that serves as the county seat of Huron County and a regional hub for the surrounding rural communities.
-
D.
Boardman, Ohio
Boardman, Ohio is a large suburban community and commercial hub near Youngstown in northeastern Ohio.
-
E.
Steubenville, Ohio
Steubenville, Ohio is a historic industrial city along the Ohio River known for its steel production heritage and role as a regional transportation hub.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da0b5988190b9df26dd3bb87337 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f16e87c8190b7e9f61561ae865a |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.