Triple
T6641109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greene County, Ohio |
E150586
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object |
Clifton, Ohio
Clifton, Ohio is a small historic village in southwestern Ohio known for its proximity to Clifton Gorge and the Little Miami River.
|
E690419
|
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: Clifton, Ohio | Statement: [Greene County, Ohio, containsVillage, Clifton, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clifton, Ohio Context triple: [Greene County, Ohio, containsVillage, Clifton, Ohio]
-
A.
Clayton, Ohio
Clayton, Ohio is a small city in Montgomery County that forms part of the Dayton metropolitan area.
-
B.
Clyde, Ohio
Clyde, Ohio is a small city in Sandusky County best known as the childhood home and inspiration for many works of American writer Sherwood Anderson.
-
C.
Englewood, Ohio
Englewood, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
-
D.
Niles, Ohio
Niles, Ohio is a small industrial city in northeastern Ohio best known as the birthplace of U.S. President William McKinley.
-
E.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
- 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: Clifton, Ohio Triple: [Greene County, Ohio, containsVillage, Clifton, Ohio]
Generated description
Clifton, Ohio is a small historic village in southwestern Ohio known for its proximity to Clifton Gorge and the Little Miami River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clifton, Ohio Target entity description: Clifton, Ohio is a small historic village in southwestern Ohio known for its proximity to Clifton Gorge and the Little Miami River.
-
A.
Clayton, Ohio
Clayton, Ohio is a small city in Montgomery County that forms part of the Dayton metropolitan area.
-
B.
Clyde, Ohio
Clyde, Ohio is a small city in Sandusky County best known as the childhood home and inspiration for many works of American writer Sherwood Anderson.
-
C.
Englewood, Ohio
Englewood, Ohio is a suburban city in Montgomery County that forms part of the Dayton metropolitan area in southwestern Ohio.
-
D.
Niles, Ohio
Niles, Ohio is a small industrial city in northeastern Ohio best known as the birthplace of U.S. President William McKinley.
-
E.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff42c748190b818cf55f83647cb |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c934b54a7c81909cdccd01af24c73d |
completed | March 29, 2026, 2:18 p.m. |
| NEDg | Description generation | batch_69c93595216c81908bcb5166269540aa |
completed | March 29, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9368cc6848190bcafcc16fe334d24 |
completed | March 29, 2026, 2:26 p.m. |
Created at: March 27, 2026, 2 p.m.