Triple
T4840854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stark County, Ohio |
E108175
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Hartville, Ohio
Hartville, Ohio is a small village in northeastern Ohio known for its rural charm, local markets, and proximity to the Akron–Canton metropolitan area.
|
E512270
|
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: Hartville, Ohio | Statement: [Stark County, Ohio, hasVillage, Hartville, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartville, Ohio Context triple: [Stark County, Ohio, hasVillage, Hartville, Ohio]
-
A.
Hartland, Ohio
Hartland, Ohio is an unincorporated rural community located within Huron County in the northern part of the state.
-
B.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
-
C.
Harrisburg, Ohio
Harrisburg, Ohio is a small village in central Ohio that functions as part of the Columbus metropolitan area.
-
D.
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.
-
E.
Fitchville, Ohio
Fitchville, Ohio is an unincorporated rural community in Huron County best known historically for the tragic 1963 Golden Age Nursing Home fire.
- 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: Hartville, Ohio Triple: [Stark County, Ohio, hasVillage, Hartville, Ohio]
Generated description
Hartville, Ohio is a small village in northeastern Ohio known for its rural charm, local markets, and proximity to the Akron–Canton metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hartville, Ohio Target entity description: Hartville, Ohio is a small village in northeastern Ohio known for its rural charm, local markets, and proximity to the Akron–Canton metropolitan area.
-
A.
Hartland, Ohio
Hartland, Ohio is an unincorporated rural community located within Huron County in the northern part of the state.
-
B.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
-
C.
Harrisburg, Ohio
Harrisburg, Ohio is a small village in central Ohio that functions as part of the Columbus metropolitan area.
-
D.
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.
-
E.
Fitchville, Ohio
Fitchville, Ohio is an unincorporated rural community in Huron County best known historically for the tragic 1963 Golden Age Nursing Home fire.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cfbfbb08190b4580ebb2eb845b2 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf186311c88190a8fe34e497e4662b |
completed | March 21, 2026, 10:14 p.m. |
| NEDg | Description generation | batch_69bf1ab34b6881908c5ac4fa8c67969f |
completed | March 21, 2026, 10:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1b0138448190bff038e9d077d6c6 |
completed | March 21, 2026, 10:26 p.m. |
Created at: March 20, 2026, 1:25 p.m.