Triple
T7759134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas County |
E175972
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Harbor View, Ohio
Harbor View, Ohio is a small village in Lucas County located along the southwestern shore of Lake Erie near Toledo.
|
E687015
|
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: Harbor View, Ohio | Statement: [Lucas County, contains, Harbor View, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harbor View, Ohio Context triple: [Lucas County, contains, Harbor View, Ohio]
-
A.
Bay View, Ohio
Bay View, Ohio is a small lakeside village on the shores of Sandusky Bay known for its waterfront residential community and proximity to Lake Erie recreation areas.
-
B.
Valleyview, Ohio
Valleyview, Ohio is a small village located within the Columbus metropolitan area in Franklin County.
-
C.
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.
-
D.
Hudson, Ohio
Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
-
E.
Riverside, Ohio
Riverside, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
- 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: Harbor View, Ohio Triple: [Lucas County, contains, Harbor View, Ohio]
Generated description
Harbor View, Ohio is a small village in Lucas County located along the southwestern shore of Lake Erie near Toledo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harbor View, Ohio Target entity description: Harbor View, Ohio is a small village in Lucas County located along the southwestern shore of Lake Erie near Toledo.
-
A.
Bay View, Ohio
Bay View, Ohio is a small lakeside village on the shores of Sandusky Bay known for its waterfront residential community and proximity to Lake Erie recreation areas.
-
B.
Valleyview, Ohio
Valleyview, Ohio is a small village located within the Columbus metropolitan area in Franklin County.
-
C.
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.
-
D.
Hudson, Ohio
Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
-
E.
Riverside, Ohio
Riverside, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703de43d08190ac28bc17cd3e5ffa |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7cf538c8190aa86c27fff42efb0 |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c8a18860819081a88f80544db83d |
completed | March 29, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c900a28c819097449e8ceb373718 |
completed | March 29, 2026, 6:38 a.m. |
Created at: March 27, 2026, 4:09 p.m.