Triple
T1952801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Ohio |
E42196
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
Elyria, Ohio
Elyria, Ohio is a city in Lorain County that serves as a residential and commercial hub within the Greater Cleveland area of northern Ohio.
|
E274286
|
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: Elyria, Ohio | Statement: [Northern Ohio, includes, Elyria, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elyria, Ohio Context triple: [Northern Ohio, includes, Elyria, Ohio]
-
A.
Niles, Ohio
Niles, Ohio is a small industrial city in northeastern Ohio best known as the birthplace of U.S. President William McKinley.
-
B.
Norwalk, Ohio
Norwalk, Ohio is a small city in northern Ohio that serves as the county seat of Huron County and a regional hub for the surrounding rural communities.
-
C.
Englewood, Ohio
Englewood, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern 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.
Norwood, Ohio
Norwood, Ohio is a small independent city surrounded by Cincinnati that was historically known for its major General Motors automobile assembly plant.
- 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: Elyria, Ohio Triple: [Northern Ohio, includes, Elyria, Ohio]
Generated description
Elyria, Ohio is a city in Lorain County that serves as a residential and commercial hub within the Greater Cleveland area of northern Ohio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elyria, Ohio Target entity description: Elyria, Ohio is a city in Lorain County that serves as a residential and commercial hub within the Greater Cleveland area of northern Ohio.
-
A.
Niles, Ohio
Niles, Ohio is a small industrial city in northeastern Ohio best known as the birthplace of U.S. President William McKinley.
-
B.
Norwalk, Ohio
Norwalk, Ohio is a small city in northern Ohio that serves as the county seat of Huron County and a regional hub for the surrounding rural communities.
-
C.
Englewood, Ohio
Englewood, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern 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.
Norwood, Ohio
Norwood, Ohio is a small independent city surrounded by Cincinnati that was historically known for its major General Motors automobile assembly plant.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3501d108190bc5cb23f53db4411 |
completed | March 7, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b526edc8190b4958f63268c6e97 |
completed | March 9, 2026, 8:19 p.m. |
| NEDg | Description generation | batch_69af4aa7334c81908490c96b6378f7b7 |
completed | March 9, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af4acc28ac81909c8bfd1ec84c817b |
completed | March 9, 2026, 10:33 p.m. |
Created at: March 4, 2026, 7:36 p.m.