Triple
T15233101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miller County, Georgia |
E364053
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object |
Colquitt, Georgia
Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
|
E1167446
|
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: Colquitt, Georgia | Statement: [Miller County, Georgia, seat, Colquitt, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colquitt, Georgia Context triple: [Miller County, Georgia, seat, Colquitt, Georgia]
-
A.
Calhoun, Georgia
Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
-
B.
Blakely, Georgia
Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
-
C.
Guyton, Georgia
Guyton, Georgia is a small city in southeastern Georgia known for its historic charm and role as a residential community within the Savannah metropolitan area.
-
D.
Sylvania, Georgia
Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
-
E.
Clarkston, Georgia
Clarkston, Georgia is a small, diverse city in the Atlanta metropolitan area known for its large refugee and immigrant population.
- 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: Colquitt, Georgia Triple: [Miller County, Georgia, seat, Colquitt, Georgia]
Generated description
Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colquitt, Georgia Target entity description: Colquitt, Georgia is a small city in southwest Georgia known as the cultural and economic hub of Miller County.
-
A.
Calhoun, Georgia
Calhoun, Georgia is a small city in northwest Georgia known as the county seat of Gordon County and a regional hub along Interstate 75.
-
B.
Blakely, Georgia
Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early County.
-
C.
Guyton, Georgia
Guyton, Georgia is a small city in southeastern Georgia known for its historic charm and role as a residential community within the Savannah metropolitan area.
-
D.
Sylvania, Georgia
Sylvania, Georgia is a small city in Screven County known as the county seat and a historic community in eastern Georgia.
-
E.
Clarkston, Georgia
Clarkston, Georgia is a small, diverse city in the Atlanta metropolitan area known for its large refugee and immigrant population.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007d7237081908dc17900ee66b64f |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f24967c8190b0bdb84b88a0aaa3 |
completed | May 9, 2026, 4:21 p.m. |
| NEDg | Description generation | batch_69ff5fd7068881909a8d85f6bdccedfc |
completed | May 9, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6073193c8190bb9d1ab18d3d816c |
completed | May 9, 2026, 4:27 p.m. |
Created at: April 10, 2026, 3:12 a.m.