Triple
T23385184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richland County, Ohio |
E593857
|
entity |
| Predicate | hasJurisdiction |
P285
|
FINISHED |
| Object | Ontario, Ohio |
E1082106
|
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: Ontario, Ohio | Statement: [Richland County, Ohio, hasJurisdiction, Ontario, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ontario, Ohio Context triple: [Richland County, Ohio, hasJurisdiction, Ontario, Ohio]
-
A.
Ontario, Ohio
chosen
Ontario, Ohio is a small city in north-central Ohio that serves as a commercial hub for the surrounding Richland County area.
-
B.
Holland, Ohio
Holland, Ohio is a small suburban village near Toledo known for its residential communities, local parks, and role as part of the greater Lucas County metropolitan area.
-
C.
Ada, Ohio
Ada, Ohio is a small village in northwest Ohio best known as the home of Ohio Northern University.
-
D.
Scio, Ohio
Scio, Ohio is a small village in eastern Ohio known historically for its oil boom era and as the former home of Scio College.
-
E.
Huron, Ohio
Huron, Ohio is a small city on the southern shore of Lake Erie known for its waterfront, marinas, and proximity to regional attractions like Cedar Point.
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a497661c8190b52fa27419594989 |
completed | April 29, 2026, 6:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c82403e108190abd79eecc949a1d7 |
completed | May 19, 2026, 3:31 p.m. |
Created at: April 17, 2026, 5:35 p.m.