Triple
T7761080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelby County, Ohio |
E176020
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object |
Kettlersville, Ohio
Kettlersville, Ohio is a small rural village located in western Ohio within Shelby County.
|
E689958
|
NE FINISHED |
How this triple was built (4 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: Kettlersville, Ohio | Statement: [Shelby County, Ohio, hasCommunity, Kettlersville, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kettlersville, Ohio Context triple: [Shelby County, Ohio, hasCommunity, Kettlersville, Ohio]
-
A.
Lowellville, Ohio
Lowellville, Ohio is a small village in northeastern Ohio that lies within the Youngstown metropolitan area and has historically been tied to the region’s steel and manufacturing industries.
-
B.
Washingtonville, Ohio
Washingtonville, Ohio is a small village located in Columbiana County in the eastern part of the state.
-
C.
Valleyview, Ohio
Valleyview, Ohio is a small village located within the Columbus metropolitan area in Franklin County.
-
D.
Fitchville, Ohio
Fitchville, Ohio is an unincorporated rural community in Huron County best known historically for the tragic 1963 Golden Age Nursing Home fire.
-
E.
Zanesfield, Ohio
Zanesfield, Ohio is a small village in Logan County best known as the home of the Mad River Mountain ski and snowboard resort.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kettlersville, Ohio Triple: [Shelby County, Ohio, hasCommunity, Kettlersville, Ohio]
Generated description
Kettlersville, Ohio is a small rural village located in western Ohio within Shelby County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kettlersville, Ohio Target entity description: Kettlersville, Ohio is a small rural village located in western Ohio within Shelby County.
-
A.
Lowellville, Ohio
Lowellville, Ohio is a small village in northeastern Ohio that lies within the Youngstown metropolitan area and has historically been tied to the region’s steel and manufacturing industries.
-
B.
Washingtonville, Ohio
Washingtonville, Ohio is a small village located in Columbiana County in the eastern part of the state.
-
C.
Valleyview, Ohio
Valleyview, Ohio is a small village located within the Columbus metropolitan area in Franklin County.
-
D.
Fitchville, Ohio
Fitchville, Ohio is an unincorporated rural community in Huron County best known historically for the tragic 1963 Golden Age Nursing Home fire.
-
E.
Zanesfield, Ohio
Zanesfield, Ohio is a small village in Logan County best known as the home of the Mad River Mountain ski and snowboard resort.
- F. None of above. chosen
Provenance (5 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c704036c588190a441e56c738cc309 |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c9162ec9ec8190bd48b23b2877ff34 |
completed | March 29, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69c9173866308190918607a807a1212a |
completed | March 29, 2026, 12:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c917848f6c8190933917d7bfe4e016 |
completed | March 29, 2026, 12:13 p.m. |
Created at: March 27, 2026, 4:09 p.m.