Triple
T11453065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio Panhandle |
E271451
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Toronto, Ohio
Toronto, Ohio is a small city in Jefferson County along the Ohio River in the state's eastern panhandle region.
|
E993722
|
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: Toronto, Ohio | Statement: [Ohio Panhandle, contains, Toronto, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toronto, Ohio Context triple: [Ohio Panhandle, contains, Toronto, Ohio]
-
A.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
-
B.
Troy, Ohio
Troy, Ohio is a small city in southwestern Ohio known for its historic downtown, annual Strawberry Festival, and role as a commercial and cultural center of the Miami Valley region.
-
C.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
D.
Canton, Ohio
Canton, Ohio is a mid-sized city in northeastern Ohio known for its industrial heritage and as the home of the Pro Football Hall of Fame.
-
E.
Tiffin, Ohio
Tiffin, Ohio is a small city in northwestern Ohio known for its historic downtown and as the home of Heidelberg University and Tiffin University.
- 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: Toronto, Ohio Triple: [Ohio Panhandle, contains, Toronto, Ohio]
Generated description
Toronto, Ohio is a small city in Jefferson County along the Ohio River in the state's eastern panhandle region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toronto, Ohio Target entity description: Toronto, Ohio is a small city in Jefferson County along the Ohio River in the state's eastern panhandle region.
-
A.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
-
B.
Troy, Ohio
Troy, Ohio is a small city in southwestern Ohio known for its historic downtown, annual Strawberry Festival, and role as a commercial and cultural center of the Miami Valley region.
-
C.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
D.
Canton, Ohio
Canton, Ohio is a mid-sized city in northeastern Ohio known for its industrial heritage and as the home of the Pro Football Hall of Fame.
-
E.
Tiffin, Ohio
Tiffin, Ohio is a small city in northwestern Ohio known for its historic downtown and as the home of Heidelberg University and Tiffin University.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6f4d788190ac59b0df946cebbc |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e92f1808190a338d8406d651611 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f65fd6fa8c819094a31f8c2d8ee72d |
completed | May 2, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f663fe2fac8190bb70c8f1b919d657 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 8, 2026, 9:35 p.m.