Triple
T2300779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairfield County, Ohio |
E51724
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Baltimore, Ohio
Baltimore, Ohio is a small village in central Ohio known for its rural community character and proximity to the Columbus metropolitan area.
|
E376945
|
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: Baltimore, Ohio | Statement: [Fairfield County, Ohio, hasVillage, Baltimore, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baltimore, Ohio Context triple: [Fairfield County, Ohio, hasVillage, Baltimore, Ohio]
-
A.
Bryan, Ohio
Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
-
B.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
C.
Montgomery, Ohio
Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
-
D.
Milan, Ohio
Milan, Ohio is a small historic village in northern Ohio best known as the birthplace of inventor Thomas Edison.
-
E.
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.
- 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: Baltimore, Ohio Triple: [Fairfield County, Ohio, hasVillage, Baltimore, Ohio]
Generated description
Baltimore, Ohio is a small village in central Ohio known for its rural community character and proximity to the Columbus metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baltimore, Ohio Target entity description: Baltimore, Ohio is a small village in central Ohio known for its rural community character and proximity to the Columbus metropolitan area.
-
A.
Bryan, Ohio
Bryan, Ohio is a small city in northwestern Ohio that serves as the county seat of Williams County.
-
B.
Havana, Ohio
Havana, Ohio is a small unincorporated community located in Huron County in north-central Ohio.
-
C.
Montgomery, Ohio
Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
-
D.
Milan, Ohio
Milan, Ohio is a small historic village in northern Ohio best known as the birthplace of inventor Thomas Edison.
-
E.
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.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5edc1348190a4d84606b1310711 |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48810202c8190a2a8d5ae849b6d9e |
completed | March 13, 2026, 9:56 p.m. |
| NEDg | Description generation | batch_69b48a9a55fc8190bc7de7c2c1e9bf76 |
completed | March 13, 2026, 10:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4a3d9377481909bc0392a1176601b |
completed | March 13, 2026, 11:55 p.m. |
Created at: March 4, 2026, 7:49 p.m.