Triple
T6373679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cook County, Georgia |
E143410
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Sparks, Georgia
Sparks, Georgia is a small town in south-central Georgia, United States, known for its rural character and location within Cook County.
|
E588972
|
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: Sparks, Georgia | Statement: [Cook County, Georgia, hasSettlement, Sparks, Georgia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sparks, Georgia Context triple: [Cook County, Georgia, hasSettlement, Sparks, Georgia]
-
A.
Bogart, Georgia
Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
-
B.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
C.
Fairburn, Georgia
Fairburn, Georgia is a small city in the Atlanta metropolitan area known for its historic downtown and role as a growing suburban community.
-
D.
Powder Springs, Georgia
Powder Springs, Georgia is a small suburban city in the Atlanta metropolitan area known for its residential communities and proximity to major urban amenities.
-
E.
Blakely, Georgia
Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early 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: Sparks, Georgia Triple: [Cook County, Georgia, hasSettlement, Sparks, Georgia]
Generated description
Sparks, Georgia is a small town in south-central Georgia, United States, known for its rural character and location within Cook County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sparks, Georgia Target entity description: Sparks, Georgia is a small town in south-central Georgia, United States, known for its rural character and location within Cook County.
-
A.
Bogart, Georgia
Bogart, Georgia is a small town in northeastern Georgia located near the Athens metropolitan area.
-
B.
De Soto, Georgia
De Soto, Georgia is a small rural city located in southwestern Georgia in the United States.
-
C.
Fairburn, Georgia
Fairburn, Georgia is a small city in the Atlanta metropolitan area known for its historic downtown and role as a growing suburban community.
-
D.
Powder Springs, Georgia
Powder Springs, Georgia is a small suburban city in the Atlanta metropolitan area known for its residential communities and proximity to major urban amenities.
-
E.
Blakely, Georgia
Blakely, Georgia is a small city in southwestern Georgia that serves as the administrative and economic center of Early 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_69c008d9f4348190ab598a2913259a1c |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c068390af08190967a3d25ec9a50e5 |
completed | March 22, 2026, 10:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d9820f08190b12754d94507228f |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c62e6ba24481908845287b0eb65f3c |
completed | March 27, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62ecd35a88190a819b5764ecfbe55 |
completed | March 27, 2026, 7:16 a.m. |
Created at: March 22, 2026, 4:33 p.m.