Triple
T6674539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami County, Ohio |
E151817
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bradford, Ohio
Bradford, Ohio is a small village in western Ohio known for its railroad heritage and location spanning Miami and Darke counties.
|
E614919
|
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: Bradford, Ohio | Statement: [Miami County, Ohio, contains, Bradford, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bradford, Ohio Context triple: [Miami County, Ohio, contains, Bradford, Ohio]
-
A.
Brookville, Ohio
Brookville, Ohio is a small village in southwestern Ohio known for its close-knit community and location within the Dayton metropolitan area.
-
B.
Brunswick, Ohio
Brunswick, Ohio is a suburban city in Medina County that forms part of the Greater Cleveland metropolitan area.
-
C.
Fremont, Ohio
Fremont, Ohio is a small city in northern Ohio best known as the longtime home and burial place of U.S. President Rutherford B. Hayes.
-
D.
Bedford, Ohio
Bedford, Ohio is a small suburban city in Cuyahoga County that forms part of the Greater Cleveland metropolitan area.
-
E.
Norwood, Ohio
Norwood, Ohio is a small independent city surrounded by Cincinnati that was historically known for its major General Motors automobile assembly plant.
- 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: Bradford, Ohio Triple: [Miami County, Ohio, contains, Bradford, Ohio]
Generated description
Bradford, Ohio is a small village in western Ohio known for its railroad heritage and location spanning Miami and Darke counties.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bradford, Ohio Target entity description: Bradford, Ohio is a small village in western Ohio known for its railroad heritage and location spanning Miami and Darke counties.
-
A.
Brookville, Ohio
Brookville, Ohio is a small village in southwestern Ohio known for its close-knit community and location within the Dayton metropolitan area.
-
B.
Brunswick, Ohio
Brunswick, Ohio is a suburban city in Medina County that forms part of the Greater Cleveland metropolitan area.
-
C.
Fremont, Ohio
Fremont, Ohio is a small city in northern Ohio best known as the longtime home and burial place of U.S. President Rutherford B. Hayes.
-
D.
Bedford, Ohio
Bedford, Ohio is a small suburban city in Cuyahoga County that forms part of the Greater Cleveland metropolitan area.
-
E.
Norwood, Ohio
Norwood, Ohio is a small independent city surrounded by Cincinnati that was historically known for its major General Motors automobile assembly plant.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0f1d9d081909670f5c0b7389c0d |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70aeef0d881909da055735646dbaf |
completed | March 27, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69c70bda97f08190bc6dab7177341876 |
completed | March 27, 2026, 10:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70c51e0148190be64afb56690b34f |
completed | March 27, 2026, 11:01 p.m. |
Created at: March 27, 2026, 2:03 p.m.