Triple
T12083513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richland County, Ohio |
E287744
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Lexington, Ohio
Lexington, Ohio is a small village in north-central Ohio known for its community-oriented atmosphere and proximity to the Mid-Ohio Sports Car Course.
|
E967425
|
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: Lexington, Ohio | Statement: [Richland County, Ohio, hasVillage, Lexington, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lexington, Ohio Context triple: [Richland County, Ohio, hasVillage, Lexington, Ohio]
-
A.
New Lexington, Ohio
New Lexington, Ohio is a small village in Perry County that serves as the county seat and a local hub in southeastern Ohio.
-
B.
London, Ohio
London, Ohio is a small city in Madison County that serves as a local commercial and administrative center within the Columbus metropolitan area.
-
C.
Covington, Ohio
Covington, Ohio is a small village in western Ohio known for its rural character and tight-knit community within the Dayton metropolitan area.
-
D.
Springfield, Ohio
Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
-
E.
Kent, Ohio
Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
- 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: Lexington, Ohio Triple: [Richland County, Ohio, hasVillage, Lexington, Ohio]
Generated description
Lexington, Ohio is a small village in north-central Ohio known for its community-oriented atmosphere and proximity to the Mid-Ohio Sports Car Course.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lexington, Ohio Target entity description: Lexington, Ohio is a small village in north-central Ohio known for its community-oriented atmosphere and proximity to the Mid-Ohio Sports Car Course.
-
A.
New Lexington, Ohio
New Lexington, Ohio is a small village in Perry County that serves as the county seat and a local hub in southeastern Ohio.
-
B.
London, Ohio
London, Ohio is a small city in Madison County that serves as a local commercial and administrative center within the Columbus metropolitan area.
-
C.
Covington, Ohio
Covington, Ohio is a small village in western Ohio known for its rural character and tight-knit community within the Dayton metropolitan area.
-
D.
Springfield, Ohio
Springfield, Ohio is a mid-sized city in western Ohio known historically for manufacturing and as the seat of Clark County.
-
E.
Kent, Ohio
Kent, Ohio is a city in northeastern Ohio best known as the home of Kent State University.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91513bbb0819084a8bb877e03060c |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f666bf1c819089de1235617e775b |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f60335285c819089f69472b2e48130 |
completed | May 2, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60410ce0481908b2deb7522a3ec00 |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 8, 2026, 9:48 p.m.