Triple
T14929458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson County, Ohio |
E372219
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Adena, Ohio
Adena, Ohio is a small village in eastern Ohio known historically for its coal mining roots and rural Appalachian character.
|
E1355215
|
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: Adena, Ohio | Statement: [Jefferson County, Ohio, containsSettlement, Adena, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adena, Ohio Context triple: [Jefferson County, Ohio, containsSettlement, Adena, Ohio]
-
A.
Ada, Ohio
Ada, Ohio is a small village in northwest Ohio best known as the home of Ohio Northern University.
-
B.
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.
-
C.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
D.
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.
-
E.
Logan, Ohio
Logan, Ohio is a small city in southeastern Ohio that serves as a gateway to the Hocking Hills region and its popular outdoor recreation areas.
- 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: Adena, Ohio Triple: [Jefferson County, Ohio, containsSettlement, Adena, Ohio]
Generated description
Adena, Ohio is a small village in eastern Ohio known historically for its coal mining roots and rural Appalachian character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Adena, Ohio Target entity description: Adena, Ohio is a small village in eastern Ohio known historically for its coal mining roots and rural Appalachian character.
-
A.
Ada, Ohio
Ada, Ohio is a small village in northwest Ohio best known as the home of Ohio Northern University.
-
B.
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.
-
C.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
D.
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.
-
E.
Logan, Ohio
Logan, Ohio is a small city in southeastern Ohio that serves as a gateway to the Hocking Hills region and its popular outdoor recreation areas.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded634e67881909daec9eaef188d09 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be3406888190bd3f8deea269be20 |
completed | May 14, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a05bffc6c548190ae746c901b1f121c |
completed | May 14, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05c0521b0481909ae61b887e1461cf |
completed | May 14, 2026, 12:30 p.m. |
Created at: April 10, 2026, 2:36 a.m.