Triple
T10966702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio Central College |
E259118
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Iberia, Ohio
Iberia, Ohio is a small unincorporated community in Morrow County known historically as the home of Ohio Central College.
|
E897367
|
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: Iberia, Ohio | Statement: [Ohio Central College, locatedIn, Iberia, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iberia, Ohio Context triple: [Ohio Central College, locatedIn, Iberia, Ohio]
-
A.
Peru, Ohio
Peru, Ohio is a small unincorporated community located in Huron County in the northern part of the U.S. state of Ohio.
-
B.
Madeira, Ohio
Madeira, Ohio is a small suburban city near Cincinnati known for its family-friendly neighborhoods, strong public schools, and community-oriented atmosphere.
-
C.
Leetonia, Ohio
Leetonia, Ohio is a small village in northeastern Ohio known historically for its coal mining and iron industry roots.
-
D.
Sebring, Ohio
Sebring, Ohio is a small village in northeastern Ohio historically known for its pottery industry and residential character.
-
E.
Holland, Ohio
Holland, Ohio is a small suburban village near Toledo known for its residential communities, local parks, and role as part of the greater Lucas County metropolitan area.
- 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: Iberia, Ohio Triple: [Ohio Central College, locatedIn, Iberia, Ohio]
Generated description
Iberia, Ohio is a small unincorporated community in Morrow County known historically as the home of Ohio Central College.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iberia, Ohio Target entity description: Iberia, Ohio is a small unincorporated community in Morrow County known historically as the home of Ohio Central College.
-
A.
Peru, Ohio
Peru, Ohio is a small unincorporated community located in Huron County in the northern part of the U.S. state of Ohio.
-
B.
Madeira, Ohio
Madeira, Ohio is a small suburban city near Cincinnati known for its family-friendly neighborhoods, strong public schools, and community-oriented atmosphere.
-
C.
Leetonia, Ohio
Leetonia, Ohio is a small village in northeastern Ohio known historically for its coal mining and iron industry roots.
-
D.
Sebring, Ohio
Sebring, Ohio is a small village in northeastern Ohio historically known for its pottery industry and residential character.
-
E.
Holland, Ohio
Holland, Ohio is a small suburban village near Toledo known for its residential communities, local parks, and role as part of the greater Lucas County metropolitan area.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77149c0448190a66322fa696fdbda |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d78156c48190a956dc22b9832bcb |
completed | April 18, 2026, 12:59 a.m. |
| NEDg | Description generation | batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3261cc4f48190ba0e5645f37cd4b5 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 8, 2026, 9:24 p.m.