Triple
T16999303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne County, Ohio |
E412397
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mount Eaton, Ohio
Mount Eaton, Ohio is a small village in Wayne County known for its rural character and proximity to Ohio’s Amish country.
|
E1245192
|
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: Mount Eaton, Ohio | Statement: [Wayne County, Ohio, contains, Mount Eaton, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Eaton, Ohio Context triple: [Wayne County, Ohio, contains, Mount Eaton, Ohio]
-
A.
Eaton, Ohio
Eaton, Ohio is a small city in Preble County that serves as a local commercial and administrative center in southwestern Ohio.
-
B.
Lockbourne, Ohio
Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
-
C.
Boughtonville, Ohio
Boughtonville, Ohio is a small unincorporated community located in Huron County in the north-central region of the state.
-
D.
Mount Vernon, Ohio
Mount Vernon, Ohio is a small historic city in central Ohio that serves as the county seat of Knox County and a regional hub for education, commerce, and transportation.
-
E.
Obetz, Ohio
Obetz, Ohio is a small village in central Ohio known for its proximity to Columbus and its mix of residential neighborhoods, industrial facilities, and logistics centers.
- 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: Mount Eaton, Ohio Triple: [Wayne County, Ohio, contains, Mount Eaton, Ohio]
Generated description
Mount Eaton, Ohio is a small village in Wayne County known for its rural character and proximity to Ohio’s Amish country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Eaton, Ohio Target entity description: Mount Eaton, Ohio is a small village in Wayne County known for its rural character and proximity to Ohio’s Amish country.
-
A.
Eaton, Ohio
Eaton, Ohio is a small city in Preble County that serves as a local commercial and administrative center in southwestern Ohio.
-
B.
Lockbourne, Ohio
Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
-
C.
Boughtonville, Ohio
Boughtonville, Ohio is a small unincorporated community located in Huron County in the north-central region of the state.
-
D.
Mount Vernon, Ohio
Mount Vernon, Ohio is a small historic city in central Ohio that serves as the county seat of Knox County and a regional hub for education, commerce, and transportation.
-
E.
Obetz, Ohio
Obetz, Ohio is a small village in central Ohio known for its proximity to Columbus and its mix of residential neighborhoods, industrial facilities, and logistics centers.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37cd6248190a7202ae754882640 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc1ac518819093fac61b5598d730 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d68c8481909111bfab22882bb2 |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0118ba68408190b242154c40461f21 |
completed | May 10, 2026, 11:46 p.m. |
Created at: April 10, 2026, 5:32 a.m.