Triple
T12035164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seneca County, Ohio |
E286518
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Attica, Ohio
Attica, Ohio is a small village in northern Ohio known for its rural character and proximity to the Attica Raceway Park.
|
E1194629
|
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: Attica, Ohio | Statement: [Seneca County, Ohio, hasSettlement, Attica, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Attica, Ohio Context triple: [Seneca County, Ohio, hasSettlement, Attica, Ohio]
-
A.
Wapakoneta, Ohio
Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
-
B.
Tallmadge, Ohio
Tallmadge, Ohio is a small city in northeastern Ohio known for its historic New England–style town center and early 19th-century origins.
-
C.
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.
-
D.
Hilliard, Ohio
Hilliard, Ohio is a suburban city in central Ohio known for its residential communities, schools, and proximity to Columbus.
-
E.
Ada, Ohio
Ada, Ohio is a small village in northwest Ohio best known as the home of Ohio Northern University.
- 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: Attica, Ohio Triple: [Seneca County, Ohio, hasSettlement, Attica, Ohio]
Generated description
Attica, Ohio is a small village in northern Ohio known for its rural character and proximity to the Attica Raceway Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Attica, Ohio Target entity description: Attica, Ohio is a small village in northern Ohio known for its rural character and proximity to the Attica Raceway Park.
-
A.
Wapakoneta, Ohio
Wapakoneta, Ohio is a small city in western Ohio best known as the hometown of astronaut Neil Armstrong and for its strong ties to aerospace history.
-
B.
Tallmadge, Ohio
Tallmadge, Ohio is a small city in northeastern Ohio known for its historic New England–style town center and early 19th-century origins.
-
C.
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.
-
D.
Hilliard, Ohio
Hilliard, Ohio is a suburban city in central Ohio known for its residential communities, schools, and proximity to Columbus.
-
E.
Ada, Ohio
Ada, Ohio is a small village in northwest Ohio best known as the home of Ohio Northern University.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90408cbf0819093270c9833ef149a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb75ea708190a30153c76cde8e79 |
completed | May 10, 2026, 2:20 a.m. |
| NEDg | Description generation | batch_69ffec5cc1808190ae622027804b43f2 |
completed | May 10, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffed56235c8190b2075cce605ecf03 |
completed | May 10, 2026, 2:28 a.m. |
Created at: April 8, 2026, 9:47 p.m.