Triple
T2110368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huron County, Ohio |
E42486
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Fitchville, Ohio
Fitchville, Ohio is an unincorporated rural community in Huron County best known historically for the tragic 1963 Golden Age Nursing Home fire.
|
E307011
|
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: Fitchville, Ohio | Statement: [Huron County, Ohio, containsSettlement, Fitchville, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fitchville, Ohio Context triple: [Huron County, Ohio, containsSettlement, Fitchville, Ohio]
-
A.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
-
B.
Fernwood, Ohio
Fernwood, Ohio is the fictional small-town setting of the satirical 1970s television series "Mary Hartman, Mary Hartman."
-
C.
Riverside, Ohio
Riverside, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
-
D.
Willard, Ohio
Willard, Ohio is a small city in north-central Ohio known historically as a railroad town and for its agricultural and manufacturing industries.
-
E.
Bellevue, Ohio
Bellevue, Ohio is a small city in north-central Ohio known for its railroad heritage and location spanning multiple counties.
- 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: Fitchville, Ohio Triple: [Huron County, Ohio, containsSettlement, Fitchville, Ohio]
Generated description
Fitchville, Ohio is an unincorporated rural community in Huron County best known historically for the tragic 1963 Golden Age Nursing Home fire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fitchville, Ohio Target entity description: Fitchville, Ohio is an unincorporated rural community in Huron County best known historically for the tragic 1963 Golden Age Nursing Home fire.
-
A.
New London, Ohio
New London, Ohio is a small village in Huron County known for its rural character and location in north-central Ohio.
-
B.
Fernwood, Ohio
Fernwood, Ohio is the fictional small-town setting of the satirical 1970s television series "Mary Hartman, Mary Hartman."
-
C.
Riverside, Ohio
Riverside, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
-
D.
Willard, Ohio
Willard, Ohio is a small city in north-central Ohio known historically as a railroad town and for its agricultural and manufacturing industries.
-
E.
Bellevue, Ohio
Bellevue, Ohio is a small city in north-central Ohio known for its railroad heritage and location spanning multiple counties.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb024ce88190a30e1320e53b82bc |
completed | March 7, 2026, 5:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b030ef8fac81908c14d71afe329fe8 |
completed | March 10, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69b03549ed388190b478614397076361 |
completed | March 10, 2026, 3:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b035f849888190a5b9ee15aa456522 |
completed | March 10, 2026, 3:17 p.m. |
Created at: March 4, 2026, 7:43 p.m.