Triple
T17390497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harrison County, Ohio |
E422807
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Bowerston, Ohio
Bowerston, Ohio is a small village located in Harrison County in eastern Ohio, known for its rural character and proximity to outdoor recreation areas.
|
E1485166
|
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: Bowerston, Ohio | Statement: [Harrison County, Ohio, hasSettlement, Bowerston, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bowerston, Ohio Context triple: [Harrison County, Ohio, hasSettlement, Bowerston, Ohio]
-
A.
Bowersville, Ohio
Bowersville, Ohio is a small village located in Greene County in the southwestern part of the state.
-
B.
Brewster, Ohio
Brewster, Ohio is a small village in northeastern Ohio known for its railroading history and location within Stark County.
-
C.
Stoutsville, Ohio
Stoutsville, Ohio is a small incorporated village located in Fairfield County in the central part of the state.
-
D.
Lockbourne, Ohio
Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
-
E.
Obetz, Ohio
Obetz, Ohio is a small village in central Ohio known for its proximity to Columbus and its mix of residential neighborhoods, industrial facilities, and logistics centers.
- 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: Bowerston, Ohio Triple: [Harrison County, Ohio, hasSettlement, Bowerston, Ohio]
Generated description
Bowerston, Ohio is a small village located in Harrison County in eastern Ohio, known for its rural character and proximity to outdoor recreation areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bowerston, Ohio Target entity description: Bowerston, Ohio is a small village located in Harrison County in eastern Ohio, known for its rural character and proximity to outdoor recreation areas.
-
A.
Bowersville, Ohio
Bowersville, Ohio is a small village located in Greene County in the southwestern part of the state.
-
B.
Brewster, Ohio
Brewster, Ohio is a small village in northeastern Ohio known for its railroading history and location within Stark County.
-
C.
Stoutsville, Ohio
Stoutsville, Ohio is a small incorporated village located in Fairfield County in the central part of the state.
-
D.
Lockbourne, Ohio
Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
-
E.
Obetz, Ohio
Obetz, Ohio is a small village in central Ohio known for its proximity to Columbus and its mix of residential neighborhoods, industrial facilities, and logistics centers.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43ab950d4819098d6a46f67c46191 |
completed | April 19, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c8e5bcbc8190b7cbded45d8a97a6 |
completed | May 17, 2026, 1:55 p.m. |
| NEDg | Description generation | batch_6a09c9a6b84881908f9193b89ded7361 |
completed | May 17, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09caa391588190808eb3dcaff07803 |
completed | May 17, 2026, 2:03 p.m. |
Created at: April 10, 2026, 5:45 a.m.