Triple
T7759133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas County |
E175972
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Berkey, Ohio
Berkey, Ohio is a small village in northwestern Ohio known for its rural residential character within the Toledo metropolitan area.
|
E687014
|
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: Berkey, Ohio | Statement: [Lucas County, contains, Berkey, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berkey, Ohio Context triple: [Lucas County, contains, Berkey, Ohio]
-
A.
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.
-
B.
Brewster, Ohio
Brewster, Ohio is a small village in northeastern Ohio known for its railroading history and location within Stark County.
-
C.
Lockbourne, Ohio
Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
-
D.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
E.
Rutherford, Ohio
Rutherford, Ohio is the fictional Midwestern college town that serves as the primary setting for the sitcom "3rd Rock from the Sun."
- 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: Berkey, Ohio Triple: [Lucas County, contains, Berkey, Ohio]
Generated description
Berkey, Ohio is a small village in northwestern Ohio known for its rural residential character within the Toledo metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Berkey, Ohio Target entity description: Berkey, Ohio is a small village in northwestern Ohio known for its rural residential character within the Toledo metropolitan area.
-
A.
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.
-
B.
Brewster, Ohio
Brewster, Ohio is a small village in northeastern Ohio known for its railroading history and location within Stark County.
-
C.
Lockbourne, Ohio
Lockbourne, Ohio is a small village in central Ohio that is part of the Columbus metropolitan area.
-
D.
Wakeman, Ohio
Wakeman, Ohio is a small village in northern Ohio known for its rural character and location within Huron County.
-
E.
Rutherford, Ohio
Rutherford, Ohio is the fictional Midwestern college town that serves as the primary setting for the sitcom "3rd Rock from the Sun."
- 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703de43d08190ac28bc17cd3e5ffa |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7cf538c8190aa86c27fff42efb0 |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c8a18860819081a88f80544db83d |
completed | March 29, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c900a28c819097449e8ceb373718 |
completed | March 29, 2026, 6:38 a.m. |
Created at: March 27, 2026, 4:09 p.m.