Triple
T3446381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas County, Georgia |
E72687
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Boston, Georgia
Boston, Georgia is a small rural city in southern Georgia known for its historic downtown and agricultural surroundings.
|
E358951
|
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: Boston, Georgia | Statement: [Thomas County, Georgia, hasCity, Boston, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boston, Georgia Context triple: [Thomas County, Georgia, hasCity, Boston, Georgia]
-
A.
Washington, Georgia
Washington, Georgia is a historic small city in Wilkes County known for its well-preserved antebellum architecture and role in early American and Civil War history.
-
B.
Geneva, Georgia
Geneva, Georgia is a small rural town located in west-central Georgia in the United States.
-
C.
Omaha, Georgia
Omaha, Georgia is an unincorporated rural community located in Stewart County in the southwestern part of the U.S. state of Georgia.
-
D.
Dublin, Georgia
Dublin, Georgia is a small city in Laurens County known as a regional hub in central Georgia with a historic downtown and annual St. Patrick’s Festival.
-
E.
Hamilton, Georgia
Hamilton, Georgia is a small city in west-central Georgia that serves as the governmental and commercial hub of Harris County.
- 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: Boston, Georgia Triple: [Thomas County, Georgia, hasCity, Boston, Georgia]
Generated description
Boston, Georgia is a small rural city in southern Georgia known for its historic downtown and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boston, Georgia Target entity description: Boston, Georgia is a small rural city in southern Georgia known for its historic downtown and agricultural surroundings.
-
A.
Washington, Georgia
Washington, Georgia is a historic small city in Wilkes County known for its well-preserved antebellum architecture and role in early American and Civil War history.
-
B.
Geneva, Georgia
Geneva, Georgia is a small rural town located in west-central Georgia in the United States.
-
C.
Omaha, Georgia
Omaha, Georgia is an unincorporated rural community located in Stewart County in the southwestern part of the U.S. state of Georgia.
-
D.
Dublin, Georgia
Dublin, Georgia is a small city in Laurens County known as a regional hub in central Georgia with a historic downtown and annual St. Patrick’s Festival.
-
E.
Hamilton, Georgia
Hamilton, Georgia is a small city in west-central Georgia that serves as the governmental and commercial hub of Harris County.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba6efb188190b989fa4d6f28e16b |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360e32ba08190bcd2f3cbe963c443 |
completed | March 13, 2026, 12:57 a.m. |
| NEDg | Description generation | batch_69b3615cf80481908ff305f995d0b176 |
completed | March 13, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36249b50881909ebae2d35b30cc1c |
completed | March 13, 2026, 1:03 a.m. |
Created at: March 8, 2026, 3:16 p.m.