Triple
T17929965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crawford County, Ohio |
E448305
|
entity |
| Predicate | countySeat |
P383
|
FINISHED |
| Object |
Bucyrus, Ohio
Bucyrus, Ohio is a small Midwestern city in north-central Ohio known historically for manufacturing and its role as a local commercial and community hub.
|
E1559113
|
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: Bucyrus, Ohio | Statement: [Crawford County, Ohio, countySeat, Bucyrus, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bucyrus, Ohio Context triple: [Crawford County, Ohio, countySeat, Bucyrus, Ohio]
-
A.
Shreve, Ohio
Shreve, Ohio is a small village in Wayne County known for its proximity to the Killbuck Marsh wildlife area and its rural community character.
-
B.
Hudson, Ohio
Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
-
C.
Scio, Ohio
Scio, Ohio is a small village in eastern Ohio known historically for its oil boom era and as the former home of Scio College.
-
D.
Bryan, Ohio
Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
-
E.
Lorain
Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
- 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: Bucyrus, Ohio Triple: [Crawford County, Ohio, countySeat, Bucyrus, Ohio]
Generated description
Bucyrus, Ohio is a small Midwestern city in north-central Ohio known historically for manufacturing and its role as a local commercial and community hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bucyrus, Ohio Target entity description: Bucyrus, Ohio is a small Midwestern city in north-central Ohio known historically for manufacturing and its role as a local commercial and community hub.
-
A.
Shreve, Ohio
Shreve, Ohio is a small village in Wayne County known for its proximity to the Killbuck Marsh wildlife area and its rural community character.
-
B.
Hudson, Ohio
Hudson, Ohio is a small city in northeastern Ohio known for its historic New England–style downtown and as a center of education and culture in the region.
-
C.
Scio, Ohio
Scio, Ohio is a small village in eastern Ohio known historically for its oil boom era and as the former home of Scio College.
-
D.
Bryan, Ohio
Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
-
E.
Lorain
Lorain is an industrial city on Lake Erie in northern Ohio, historically known for its steel production and shipbuilding.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a5511a408190973cf5fa1f286a26 |
completed | April 19, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae6f0d248190936225ed66dd0553 |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0bb135911481909236fc404c22bc67 |
completed | May 19, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb191d7148190a2de96cc66dd188c |
completed | May 19, 2026, 12:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.