Triple
T22309513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stark County |
E551475
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Greentown
Greentown is a small unincorporated community located in Stark County, Ohio, known primarily as a residential suburb within the Canton–Massillon metropolitan area.
|
E1529825
|
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: Greentown | Statement: [Stark County, hasSettlement, Greentown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greentown Context triple: [Stark County, hasSettlement, Greentown]
-
A.
Greenfield
Greenfield is a primarily residential neighborhood in Pittsburgh, Pennsylvania, known for its hilly streets, tight-knit community, and proximity to major city parks and universities.
-
B.
Greenfield
Greenfield is a small agricultural city in Monterey County, California, located in the Salinas Valley.
-
C.
Greenfield
Greenfield is a small city located in Hennepin County, Minnesota, known for its semi-rural character and residential communities.
-
D.
Greenfield
Greenfield is a surname most notably associated with American actor Max Greenfield, known for his television and film roles.
-
E.
Greenfield
Greenfield is a small city in central Indiana that serves as a suburban community within the greater Indianapolis metropolitan area.
- 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: Greentown Triple: [Stark County, hasSettlement, Greentown]
Generated description
Greentown is a small unincorporated community located in Stark County, Ohio, known primarily as a residential suburb within the Canton–Massillon metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greentown Target entity description: Greentown is a small unincorporated community located in Stark County, Ohio, known primarily as a residential suburb within the Canton–Massillon metropolitan area.
-
A.
Greenfield
Greenfield is a primarily residential neighborhood in Pittsburgh, Pennsylvania, known for its hilly streets, tight-knit community, and proximity to major city parks and universities.
-
B.
Greenfield
Greenfield is a small agricultural city in Monterey County, California, located in the Salinas Valley.
-
C.
Greenfield
Greenfield is a small city located in Hennepin County, Minnesota, known for its semi-rural character and residential communities.
-
D.
Greenfield
Greenfield is a surname most notably associated with American actor Max Greenfield, known for his television and film roles.
-
E.
Greenfield
Greenfield is a small city in central Indiana that serves as a suburban community within the greater Indianapolis metropolitan area.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1574d53148190a1ec07f849e1ae9d |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acca39c4c8190a418ec2ff1434122 |
completed | May 18, 2026, 8:24 a.m. |
| NEDg | Description generation | batch_6a0acf8c37d48190990bc7e1152f98b3 |
completed | May 18, 2026, 8:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0acff349248190a13968f340cdebcf |
completed | May 18, 2026, 8:38 a.m. |
Created at: April 16, 2026, 8:42 p.m.