Triple
T18264346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio State Route 83 |
E437442
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Millersburg, Ohio
Millersburg, Ohio is a small village in Holmes County known as a center of Ohio’s Amish Country and the county’s administrative seat.
|
E1371506
|
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: Millersburg, Ohio | Statement: [Ohio State Route 83, passesThrough, Millersburg, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Millersburg, Ohio Context triple: [Ohio State Route 83, passesThrough, Millersburg, Ohio]
-
A.
Martinsburg, Ohio
Martinsburg, Ohio is a small village located in Knox County in the central part of the state.
-
B.
Millersport, Ohio
Millersport, Ohio is a small village in central Ohio known for its close-knit community and annual Sweet Corn Festival.
-
C.
Jeromesville, Ohio
Jeromesville, Ohio is a small village located in north-central Ohio that is part of the Ashland County region.
-
D.
Mechanicsburg, Ohio
Mechanicsburg, Ohio is a small village in central Ohio known for its rural community character and location within Champaign County.
-
E.
Millville, Ohio
Millville, Ohio is a small village in Butler County best known as the birthplace of longtime Major League Baseball commissioner Kenesaw Mountain Landis.
- 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: Millersburg, Ohio Triple: [Ohio State Route 83, passesThrough, Millersburg, Ohio]
Generated description
Millersburg, Ohio is a small village in Holmes County known as a center of Ohio’s Amish Country and the county’s administrative seat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Millersburg, Ohio Target entity description: Millersburg, Ohio is a small village in Holmes County known as a center of Ohio’s Amish Country and the county’s administrative seat.
-
A.
Martinsburg, Ohio
Martinsburg, Ohio is a small village located in Knox County in the central part of the state.
-
B.
Millersport, Ohio
Millersport, Ohio is a small village in central Ohio known for its close-knit community and annual Sweet Corn Festival.
-
C.
Jeromesville, Ohio
Jeromesville, Ohio is a small village located in north-central Ohio that is part of the Ashland County region.
-
D.
Mechanicsburg, Ohio
Mechanicsburg, Ohio is a small village in central Ohio known for its rural community character and location within Champaign County.
-
E.
Millville, Ohio
Millville, Ohio is a small village in Butler County best known as the birthplace of longtime Major League Baseball commissioner Kenesaw Mountain Landis.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff78b188819081da8e1d389c6c79 |
completed | April 19, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0723f109d48190a70174c9330123cb |
completed | May 15, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a07251f1fec8190afddb45f3e748a59 |
completed | May 15, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0725c74ce88190b38c2688b3ad92ee |
completed | May 15, 2026, 1:55 p.m. |
Created at: April 10, 2026, 10:34 a.m.