Triple
T22858213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butler County, Ohio |
E566840
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Darrtown, Ohio
Darrtown, Ohio is an unincorporated rural community in southwestern Ohio known for its historic village character and agricultural surroundings.
|
E1559529
|
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: Darrtown, Ohio | Statement: [Butler County, Ohio, contains, Darrtown, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darrtown, Ohio Context triple: [Butler County, Ohio, contains, Darrtown, Ohio]
-
A.
Townsend, Ohio
Townsend, Ohio is an unincorporated rural community located in Huron County in northern Ohio.
-
B.
Dellroy, Ohio
Dellroy, Ohio is a small village located in Carroll County in eastern Ohio, known for its rural setting and proximity to Atwood Lake.
-
C.
Zanesfield, Ohio
Zanesfield, Ohio is a small village in Logan County best known as the home of the Mad River Mountain ski and snowboard resort.
-
D.
LaRue, Ohio
LaRue, Ohio is a small village in north-central Ohio known for its rural character and tight-knit community.
-
E.
Dalton, Ohio
Dalton, Ohio is a small village in Wayne County known for its rural character and proximity to Ohio’s Amish Country.
- 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: Darrtown, Ohio Triple: [Butler County, Ohio, contains, Darrtown, Ohio]
Generated description
Darrtown, Ohio is an unincorporated rural community in southwestern Ohio known for its historic village character and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darrtown, Ohio Target entity description: Darrtown, Ohio is an unincorporated rural community in southwestern Ohio known for its historic village character and agricultural surroundings.
-
A.
Townsend, Ohio
Townsend, Ohio is an unincorporated rural community located in Huron County in northern Ohio.
-
B.
Dellroy, Ohio
Dellroy, Ohio is a small village located in Carroll County in eastern Ohio, known for its rural setting and proximity to Atwood Lake.
-
C.
Zanesfield, Ohio
Zanesfield, Ohio is a small village in Logan County best known as the home of the Mad River Mountain ski and snowboard resort.
-
D.
LaRue, Ohio
LaRue, Ohio is a small village in north-central Ohio known for its rural character and tight-knit community.
-
E.
Dalton, Ohio
Dalton, Ohio is a small village in Wayne County known for its rural character and proximity to Ohio’s Amish Country.
- 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebe3f9c8190a864f4e84dc7795d |
completed | April 29, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae89d2ec8190a521c10f1fce4bd0 |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0bb2debe588190a86fa25237b279f0 |
completed | May 19, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb366cf6c8190bd52a1255a7ed537 |
completed | May 19, 2026, 12:48 a.m. |
Created at: April 17, 2026, 3:37 p.m.